National Academies Press: OpenBook
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Page 38
Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Page 48
Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Page 49
Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Page 50
Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
Page 50
Page 51
Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Page 52
Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Page 54
Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Page 55
Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Page 57
Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Page 58
Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
×
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
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Suggested Citation:"Chapter 8 - Freight, Freight Trip, and Service Trip Generation Models." National Academies of Sciences, Engineering, and Medicine. 2016. Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/24602.
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38 This chapter presents the final models selected by the project team and provides technical notes for the benefit of users. Technical Note 1: Interpretation of R2 In analyzing the statistical results, users of these models must be aware of the limitations of the coefficients of determination (R2) statistic as a goodness-of-fit (GOF) measure. Essentially, R2 measures the model’s GOF compared to the reference model with only a constant term. For a linear model with a constant term, R2 is calculated as shown in Equation 19: R y y y y i i i i i 1 ˆ (19)2 2 2 ∑ ∑ ( ) ( )= − − − For conceptual reasons, it turns out that many of the guidebook models cannot have a con- stant term. This is the case for the FG models (no establishment with zero employment can generate cargo), and for the models that estimate FTG as a function of FG (no establishment with zero employment can generate freight trips). The lack of a constant in the model requires the use of another metric for R2. For models without a constant term, R2 is computed (as in most statistical packages) as shown in Equation 20: ∑ ∑ ( ) = − − 1 ˆ (20)02 2 2 R y y y i i i i i This revised metric computes the model’s GOF compared to a reference model with noise only. As Σ i y 2i is typically much larger than Σ i (yi - y _ )2, the value of R20 is often higher than the value of R2 with a constant term. In effect, the removal of a constant term often artificially increases the value of R2, and the implication is that R20 and R 2 are not comparable metrics. Using other statistical measures is in order. Technical Note 2: Bias Correction in Non-Linear Models When running the non-linear models for FTG, STG, and FG, exponential transformation is needed. Also, in order to adjust for bias caused by the transformation, an additional S2 term should be included in the calculation, as seen in Equation 21: C h a p t e r 8 Freight, Freight Trip, and Service Trip Generation Models

Freight, Freight trip, and Service trip Generation Models 39 f e Ei S i (21) 2 2= × α+ β To facilitate the use of the models, the α+ 2 2 e s term has been computed and reported in the tables in this guidebook as: α = α+ (22)2 2 e S  Thus, the mathematical model to be used in the calculations is shown by Equation 23: (23)f Ei i= α × β Technical Note 3: Statistical Significance and Conceptual Validity The research team has attempted to ensure that the guidebook models are statistically signifi- cant and conceptually valid. With regard to the ER-EB models, the team has only presented the rates that had more than five observations, and has added a column to indicate the type of model econometrically found to be the best. The ER-EB model should be used only in cases for which the ER model type has been confirmed by the data. FTG Models (RPI) FTA (Deliveries/Day), Linear Models Equation 24 expresses the calculation used to generate the models in Table 9. (24)FTA Ei i= α + β Min. Mean Max. 23 Construction 2.132 0.059 66 3 28 201 31-33 Manufacturing 1.427 0.087 202 1 41 350 31 Food, Beverage, Tobacco, Textile, Apparel 1.825 0.032 54 2 39 200 32 Wood, Paper, Chemical, Plastics, Nonmetals - 0.153 65 2 38 300 33 Metal, Machinery, Electronic, Furniture & Misc. 2.276 0.075 83 1 44 350 42 Wholesale Trade 3.669 0.081 227 1 20 200 44-45 Retail Trade 2.756 0.118 259 1 17 173 44 Motor Vehicle, Furniture, Electronics, Clothing 2.793 0.143 180 1 18 173 45 Sporting Goods, Hobby, Book, & Music Stores 3.375 - 79 1 15 98 48 Modal Transportation & Support Activities 10.157 - 14 3 36 151 72 Accommodation and Food 1.918 0.070 102 3 27 180 All All Freight Intensive Sectors (FIS) 3.061 0.079 872 1 26 350 NYC and CR - FTA [deliveries/day] NAICS Description ` a Obs. Employment NYC = New York City; CR = New York State Capital Region Table 9. FTA linear models. (continued on next page)

40 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Min. Mean Max. 23 Construction 2.168 0.059 57 3 30 201 31-33 Manufacturing 1.144 0.096 166 1 41 350 31 Food, Beverage, Tobacco, Textile, Apparel 1.705 0.035 49 2 37 200 32 Wood, Paper, Chemical, Plastics, Nonmetals - 0.157 50 2 42 300 33 Metal, Machinery, Electronic, Furniture & Misc. 2.056 0.082 67 1 43 350 42 Wholesale Trade 3.910 0.079 198 1 21 200 44-45 Retail Trade 2.871 0.117 232 1 17 173 44 Motor Vehicle, Furniture, Electronics, Clothing 2.970 0.144 158 1 19 173 45 Sporting Goods, Hobby, Book, & Music Stores 3.400 - 74 1 15 98 48 Modal Transportation & Support Activities 11.291 - 11 3 39 151 72 Accommodation and Food 2.081 0.069 95 3 28 180 All All Freight Intensive Sectors (FIS) 3.072 0.078 760 1 26 350 Min. Mean Max. 23 Construction 2.789 - 9 4 16 40 31-33 Manufacturing 2.674 0.043 36 3 38 300 31 Food, Beverage, Tobacco, Textile, Apparel 3.400 - 5 6 51 175 32 Wood, Paper, Chemical, Plastics, Nonmetals 3.315 - 15 3 22 70 33 Metal, Machinery, Electronic, Furniture & Misc. - 0.070 16 5 48 300 42 Wholesale Trade 3.282 - 29 2 12 53 44-45 Retail Trade 1.905 0.113 27 1 14 50 44 Motor Vehicle, Furniture, Electronics, Clothing 2.042 0.105 22 1 15 50 45 Sporting Goods, Hobby, Book, & Music Stores - 0.262 5 3 10 26 72 Accommodation and Food 1.141 - 7 4 15 51 All All Freight Intensive Sectors (FIS) 2.932 0.093 112 1 26 350 CR - FTA [deliveries/day] NAICS Description ` a Obs. Employment NYC - FTA [deliveries/day] NAICS Description ` a Obs. Employment NYC = New York City; CR = New York State Capital Region Table 9. (Continued).

Freight, Freight trip, and Service trip Generation Models 41 FTA (Deliveries/Day), Non-Linear Models Equation 25 expresses the calculation used to generate the models in Table 10. (25)FTA Ei i= α × β Min. Mean Max. 23 Construction 1.565 0.275 66 3 28 201 31-33 Manufacturing 0.858 0.499 202 1 41 350 31 Food, Beverage, Tobacco, Textile, Apparel 1.169 0.298 54 2 39 200 32 Wood, Paper, Chemical, Plastics, Nonmetals 0.517 0.603 65 2 38 300 33 Metal, Machinery, Electronic, Furniture & Misc. 0.803 0.540 83 1 44 350 42 Wholesale Trade 1.142 0.539 227 1 20 200 44-45 Retail Trade 1.580 0.427 259 1 17 173 44 Motor Vehicle, Furniture, Electronics, Clothing 1.571 0.465 180 1 18 173 45 Sporting Goods, Hobby, Book, & Music Stores 1.541 0.316 79 1 15 98 48 Modal Transportation & Support Activities 2.463 0.470 14 3 36 151 72 Accommodation and Food 0.918 0.477 102 3 27 180 All All Freight Intensive Sectors (FIS) 1.389 0.428 872 1 26 350 NYC and CR - Ln (FTA) [deliveries/day] NAICS Description `* a Obs. Employment Min. Mean Max. 23 Construction 1.574 0.280 57 3 30 201 31-33 Manufacturing 0.870 0.495 166 1 41 350 31 Food, Beverage, Tobacco, Textile, Apparel 1.183 0.292 49 2 37 200 32 Wood, Paper, Chemical, Plastics, Nonmetals 0.767 0.606 50 2 42 300 33 Metal, Machinery, Electronic, Furniture & Misc. 0.801 0.540 67 1 43 350 42 Wholesale Trade 1.182 0.538 198 1 21 200 44-45 Retail Trade 1.592 0.431 232 1 17 173 44 Motor Vehicle, Furniture, Electronics, Clothing 1.566 0.477 158 1 19 173 45 Sporting Goods, Hobby, Book, & Music Stores 1.568 0.307 74 1 15 98 48 Modal Transportation & Support Activities 3.154 0.448 11 3 39 151 72 Accommodation and Food 1.449 0.342 95 3 28 180 All All Freight Intensive Sectors (FIS) 1.607 0.380 760 1 26 350 Min. Mean Max. 23 Construction 1.576 0.230 9 4 16 40 31-33 Manufacturing 1.544 0.332 36 3 38 300 31 Food, Beverage, Tobacco, Textile, Apparel 1.033 0.346 5 6 51 175 32 Wood, Paper, Chemical, Plastics, Nonmetals 1.585 0.304 15 3 22 70 33 Metal, Machinery, Electronic, Furniture & Misc. 1.769 0.345 16 5 48 300 42 Wholesale Trade 1.511 0.338 29 2 12 53 44-45 Retail Trade 1.494 0.386 27 1 14 50 44 Motor Vehicle, Furniture, Electronics, Clothing 1.590 0.372 22 1 15 50 45 Sporting Goods, Hobby, Book, & Music Stores 1.163 0.467 5 3 10 26 72 Accommodation and Food 0.335 0.521 7 4 15 51 All All Freight Intensive Sectors (FIS) 0.749 0.639 112 1 22 300 CR - Ln (FTA) [deliveries/day] NAICS Description `* a Obs. Employment NYC - Ln (FTA) [deliveries/day] NAICS Description `* a Obs. Employment NYC = New York City; CR = New York State Capital Region Table 10. FTA non-linear models.

42 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FTP (Shipments/Day), Linear Models Equation 26 expresses the calculation used to generate the models in Table 11. (26)FTP Ei i= α + β Mi Mean Max 23 Construction - 0.092 20 6 39 201 31-33 Manufacturing 5.321 0.063 96 1 51 350 31 Food, Beverage, Tobacco, Textile, Apparel - 0.117 18 2 43 150 32 Wood, Paper, Chemical, Plastics, Nonmetals 5.511 0.135 36 2 45 300 33 Metal, Machinery, Electronic, Furniture & Misc. 5.769 0.021 42 1 59 350 42 Wholesale Trade 6.455 - 68 2 22 200 44-45 Retail Trade 2.314 0.242 63 1 15 94 44 Motor Vehicle, Furniture, Electronics, Clothing - 0.321 42 1 15 77 45 Sporting Goods, Hobby, Book, & Music Stores 3.956 0.179 21 2 15 94 48 Modal Transportation & Support Activities 8.500 - 8 9 53 151 72 Accommodation and Food - 0.114 12 5 35 159 All All Freight Intensive Sectors (FIS) 3.800 0.085 268 1 33 350 NYC and CR - FTP [shipments/day] NAICS Description ` a Obs. Employment Mi Mean Max 23 Construction - 0.091 17 3 34 250 31-33 Manufacturing 5.441 0.065 69 1 41 300 31 Food, Beverage, Tobacco, Textile, Apparel - 0.110 15 2 47 200 32 Wood, Paper, Chemical, Plastics, Nonmetals 7.394 0.126 24 2 61 300 33 Metal, Machinery, Electronic, Furniture & Misc. 6.612 - 30 1 81 400 42 Wholesale Trade 6.021 - 44 1 21 200 44-45 Retail Trade - 0.279 51 1 17 173 44 Motor Vehicle, Furniture, Electronics, Clothing - 0.295 32 1 20 202 45 Sporting Goods, Hobby, Book, & Music Stores 3.490 0.186 19 1 15 98 48 Modal Transportation & Support Activities 7.667 - 6 3 39 151 72 Accommodation and Food - 0.115 11 3 28 180 All All Freight Intensive Sectors (FIS) 3.386 0.087 199 1 28 400 Mi Mean Max 31-33 Manufacturing 5.181 0.048 27 3 38 300 32 Wood, Paper, Chemical, Plastics, Nonmetals 2.564 0.140 12 3 22 70 33 Metal, Machinery, Electronic, Furniture & Misc. 6.041 0.037 12 5 48 300 42 Wholesale Trade 7.250 - 24 2 12 53 44-45 Retail Trade - 0.432 12 1 14 50 44 Motor Vehicle, Furniture, Electronics, Clothing - 0.418 10 1 15 50 All All Freight Intensive Sectors (FIS) 5.189 0.090 69 1 22 300 CR - FTP [shipments/day] NAICS Description ` a Obs. Employment NYC - FTP [shipments/day] NAICS Description ` a Obs. Employment NYC = New York City; CR = New York State Capital Region Table 11. FTP linear models.

Freight, Freight trip, and Service trip Generation Models 43 FTP (Shipments/Day), Non-Linear Models Equation 27 expresses the calculation used to generate the models in Table 12. (27)FTP Ei i= α × β Min. Mean Max. 23 Construction 0.276 0.896 20 6 39 201 31-33 Manufacturing 2.111 0.445 96 1 51 350 31 Food, Beverage, Tobacco, Textile, Apparel 1.581 0.369 18 2 43 150 32 Wood, Paper, Chemical, Plastics, Nonmetals 2.201 0.572 36 2 45 300 33 Metal, Machinery, Electronic, Furniture & Misc. 2.133 0.385 42 1 59 350 42 Wholesale Trade 6.804 - 68 2 22 200 44-45 Retail Trade 0.966 0.737 63 1 15 94 44 Motor Vehicle, Furniture, Electronics, Clothing 0.806 0.762 42 1 15 77 45 Sporting Goods, Hobby, Book, & Music Stores 1.689 0.603 21 2 15 94 48 Modal Transportation & Support Activities 9.714 - 8 9 53 151 72 Accommodation and Food 0.508 0.706 12 5 35 159 All All Freight Intensive Sectors (FIS) 1.348 0.544 268 1 33 350 NYC and CR - Ln (FTP) [shipments/day] NAICS Description `* a Obs. Employment Min. Mean Max. 23 Construction 0.378 0.639 17 3 34 250 31-33 Manufacturing 1.946 0.446 69 1 41 300 31 Food, Beverage, Tobacco, Textile, Apparel 1.607 0.337 15 2 47 200 32 Wood, Paper, Chemical, Plastics, Nonmetals 2.030 0.608 24 2 61 300 33 Metal, Machinery, Electronic, Furniture & Misc. 1.782 0.379 30 1 81 400 42 Wholesale Trade 6.286 - 44 1 21 200 44-45 Retail Trade 1.854 0.702 51 1 17 173 44 Motor Vehicle, Furniture, Electronics, Clothing 1.959 0.404 32 1 20 202 45 Sporting Goods, Hobby, Book, & Music Stores 1.651 0.583 19 1 15 98 48 Modal Transportation & Support Activities 1.717 0.413 6 3 39 151 72 Accommodation and Food 1.468 0.421 11 3 28 180 All All Freight Intensive Sectors (FIS) 1.122 0.557 199 1 28 400 Min. Mean Max. 31-33 Manufacturing 2.690 0.442 27 3 38 300 32 Wood, Paper, Chemical, Plastics, Nonmetals 2.623 0.466 12 3 22 70 33 Metal, Machinery, Electronic, Furniture & Misc. 3.661 0.403 12 5 48 300 42 Wholesale Trade 2.007 0.644 24 2 12 53 44-45 Retail Trade 1.504 0.653 12 1 14 50 44 Motor Vehicle, Furniture, Electronics, Clothing 1.415 0.628 10 1 15 50 All All Freight Intensive Sectors (FIS) 2.659 0.499 69 1 22 300 NYC - Ln (FTP) [shipments/day] NAICS Description `* a Obs. Employment CR - Ln (FTP) [shipments/day] NAICS Description `* a Obs. Employment NYC = New York City; CR = New York State Capital Region Table 12. FTP non-linear models.

44 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FTG Models (Hartgen) FTG (Vehicles/Day) Rates Equation 28 expresses the calculation used to generate the models in Table 13. (28)f Ei l ii= β 1-10 11-40 41-149 150-999 1000+ 13 21, 23 Mining-Oil and Gas 0.097 6 ER,C-ER,P 15 23 Construction-Building 0.295 0.255 22 ER,C-ER,P 16 23 Construction-Heavy 0.297 0.206 12 ER,C-ER,P 17 23, 56 Construction-Special 0.308 0.644 0.378 0.510 35 ER,C-ER,P 20 31 Manufacturing-Food 0.020 0.124 17 ER,C-ER,P 24 32, 33 Manufacturing-Wood 0.154 7 C-ER,P 25 33 Manufacturing-Furniture 0.052 5 C-ER,P 27 32, 51 Manufacturing-Printing, Publishing 0.575 0.039 0.380 15 C-ER,P 30 31-33 Manufacturing-Rubber and Plastic 0.884 5 ER,C-ER,P 33 32, 33 Manufacturing-Primary Metals 0.127 5 C-ER,P 34 32, 33 Manufacturing-Fabricated Metals 0.358 0.298 0.317 18 C-ER,P 35 33 Manufacturing-Industrial Equipment 1.775 1.149 12 C-ER,P 36 33 Manufacturing-Electronic Equipment 0.117 7 C-ER,P 37 33, 54 Manufacturing-Transportation Equip. 0.249 7 C-ER,P 38 33 Manufacturing-Measuring Equip. 2.092 6 C-ER,P 39 33 Manufacturing-Miscellaneous 0.664 10 C-ER,P 41 48, 62 Transportation-Local Passenger 0.028 7 C,P 42 48, 49 Transportation-Freight & Warehouse 1.341 13 C,P 47 48, 54 Transportation Services 0.051 6 C,P 48 48, 51 Communications-Telephone, Radio, etc. 0.225 6 C,P 49 48, 49 Transportation-Electric, Gas, Sanitation 0.045 6 C,P 50 42, 44 Wholesale Trade-Durable Goods 1.117 0.382 0.270 0.027 0.021 0.542 47 C-ER,P 51 42, 44 Wholesale Trade-Non-Durable Goods 1.030 0.075 0.211 0.124 0.911 34 C,C-ER,P 52 44 Retail-Building Materials, Hardware 0.509 0.070 0.264 19 C-ER,P 53 45 Retail-General Merchandise Stores 0.015 0.078 17 C,P 54 44, 45 Retail-Food Stores 0.050 0.071 10 C-ER,P 55 44 Retail-Automotive and Gasoline Dealers 0.311 0.090 0.279 17 C-ER,P 56 31, 44 Retail-Apparel and Accessory 0.617 6 C-ER,P 57 33, 44 Retail-Home Furniture, Equipment Store 0.067 0.022 0.215 18 C-ER,P 58 71, 72 Retail-Eating and Drinking Places 0.057 0.053 0.159 15 C-ER,P 59 44, 45 Retail-Miscellaneous 0.233 0.344 13 C-ER,P 60 52 Finance-Depository Institutions 0.084 12 - 61 52 Finance-Non-Depository Institutions 0.183 0.114 8 - 62 52 Finance-Commodity Brokers, Dealers 0.588 10 - 64 52 Finance-Insurance Agents, Brokers 0.014 0.067 11 - 65 53, 54 Real Estate 0.404 0.364 0.342 24 - 67 52, 53 Finance-Holding & Other Investment 0.088 6 - 70 72 Services-Hotels, Camps and Lodging 0.042 0.017 0.041 29 C-ER,P 73 54, 56 Services-Business 0.439 0.133 0.086 0.158 0.223 49 - 76 44, 81 Services-Miscellaneous Repair 1.067 6 C-ER,P 79 48, 71 Services-Amusement and Recreation 0.435 0.030 0.219 18 C,P 80 54, 62 Services-Health 0.135 0.102 0.042 0.101 0.018 0.056 162 - 81 54 Services-Legal 0.300 6 - 82 51, 61 Services-Education 0.032 0.030 0.007 0.028 86 - 83 62, 81 Services-Social 0.347 0.027 0.171 27 - 87 23, 54 Services-Engineering, Research 1.515 0.129 0.117 0.089 0.359 43 ER,C-ER,P 91 92 Public Administration-Executive 0.017 0.846 12 - 99 - Non-Classified Establishments 0.403 0.052 0.156 17 - All Establishments 0.638 0.450 0.194 0.073 0.097 0.313 949 - Freight Trips Rates per Employee at 2-digit SIC level RPI ModelObs.NAICS Total SIC 2 Dig. Description Employment Range Avg. Rate Table 13. FTG rates (2-Digit NAICS and SICs).

Freight, Freight trip, and Service trip Generation Models 45 STG Models (RPI) STA (Service Calls/Day), Linear Models Equation 29 expresses the calculation used to generate the models in Table 14. (29)STA Ei i= α + β (continued on next page) Min. Mean Max. 23 Construction - 4.07E-03 9 9 55 201 31-33 Manufacturing 0.236 - 47 3 68 309 31 Food, Beverage, Tobacco, Textile, Apparel 0.197 - 6 28 104 184 32 Wood, paper, chemical, plastics, nonmetals 0.251 - 23 3 48 223 33 Metal, machinery, electronic, furniture & misc. 0.230 - 18 5 82 309 42 Wholesale 0.304 - 31 2 46 355 44-45 Retail Trade - 0.010 21 1 38 202 44 Motor vehicle, furniture, electronics, clothing - 0.012 16 1 39 202 45 Sporting goods, hobby, book, & music stores 0.174 - 6 3 35 91 48 Modal Transportation & Support Activities - 9.30E-03 7 8 37 100 51 Information 0.595 - 20 2 142 900 52 Finance and Insurance 0.850 - 13 5 707 4000 53 Real Estate - 9.23E-04 11 6 93 405 54 Professional and Technical Services 0.391 7.99E-04 22 1 181 2000 56 Administrative and Waste Services 0.291 - 22 4 86 523 61 Education Services 0.439 - 15 5 68 177 62 Health Care and Social Assistance 1.179 - 14 11 136 500 71 Entertainment 0.763 - 14 3 62 300 72 Accommodation and Food Services - 0.022 16 4 28 79 81 Other Services (except Public Admin) 0.571 - 7 31 114 305 All All Sectors - Weighted 0.408 1.09E-03 260 1 111 4000 Min. Mean Max. 23 Construction - 3.92E-03 6 12 72 201 31-33 Manufacturing 0.251 - 29 3 89 309 31 Food, Beverage, Tobacco, Textile, Apparel 0.167 - 3 100 142 184 32 Wood, paper, chemical, plastics, nonmetals 0.233 - 15 3 61 223 33 Metal, machinery, electronic, furniture & misc. 0.298 - 11 12 115 309 42 Wholesale 0.266 - 13 10 92 355 44-45 Retail Trade 0.248 - 13 11 52 125 44 Motor vehicle, furniture, electronics, clothing 0.295 - 10 11 48 125 45 Sporting goods, hobby, book, & music stores 0.091 - 3 45 68 91 48 Modal Transportation & Support Activities - 9.25E-03 6 8 42 100 51 Information 0.804 - 13 15 209 900 52 Finance and Insurance 0.428 3.22E-04 10 15 844 4000 53 Real Estate - 9.15E-04 7 17 137 405 54 Professional, Sci, and Tech Services - 1.10E-03 7 65 514 2000 56 Administrative and Waste Services 0.393 - 11 40 159 523 61 Education Services - 2.77E-03 11 10 84 177 62 Health Care and Social Assistance 1.126 - 9 40 152 500 71 Entertainment 0.879 - 12 13 75 300 72 Accommodation and Food Services - 0.017 12 6 32 79 81 Other Services (except Public Admin) 0.571 - 7 31 114 305 All All Sectors - Weighted 0.42 4.10E-04 156 3 167 4000 NYC - STA [trips/day] a ` a Obs.NAICS Description Employment NYC and CR - STA [trips/day] NAICS Description ` Employment Obs. NYC = New York City; CR = New York State Capital Region Table 14. STA linear models.

46 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips STA (Service Calls/Day), Non-Linear Models Equation 30 expresses the calculation used to generate the models in Table 15. (30)STA Ei i= α × β Table 14. (Continued). Min. Mean Max. 23 Construction 0.258 - 3 9 21 40 31-33 Manufacturing 0.212 - 18 3 36 175 31 Food, Beverage, Tobacco, Textile, Apparel 0.227 - 3 28 78 175 32 Wood, paper, chemical, plastics, nonmetals 0.284 - 8 3 25 70 33 Metal, machinery, electronic, furniture & misc. 0.123 - 7 5 30 85 42 Wholesale - 0.021 18 2 13 53 44-45 Retail Trade - 0.018 11 1 25 202 44 Motor vehicle, furniture, electronics, clothing - 0.018 8 1 30 202 45 Sporting goods, hobby, book, & music stores - 0.017 3 3 13 26 51 Information - 0.013 7 2 18 60 53 Real Estate 0.080 - 4 6 16 41 54 Professional, Sci, and Tech Services 0.500 - 16 1 26 103 56 Administrative and Waste Services 0.190 - 11 4 20 82 61 Education Services - 0.036 4 5 25 76 62 Health Care and Social Assistance 0.466 8.53E-03 4 11 105 373 72 Accommodation and Food Services - 0.054 4 4 17 51 All All Sectors - Weighted 0.184 0.012 104 1 26 373 Employment CR - STA [trips/day] NAICS Description ` Obs.a CR = New York State Capital Region Min. Mean Max. 23 Construction 0.309 - 9 9 55 201 31-33 Manufacturing 0.100 0.233 45 3 68 309 31 Food, Beverage, Tobacco, Textile, Apparel 0.222 - 6 28 104 184 32 Wood, Paper, Chemical, Plastics, Nonmetals 0.256 - 23 3 48 223 33 Metal, Machinery, Electronic, Furniture & Misc. 0.058 0.347 18 5 82 309 42 Wholesale 0.134 0.263 31 2 46 355 44-45 Retail Trade 0.270 - 24 1 38 202 44 Motor Vehicle, Furniture, Electronics, Clothing 0.312 - 18 1 39 202 45 Sporting Goods, Hobby, Book, & Music Stores 0.197 - 6 3 35 91 48 Modal Transportation & Support Activities 0.007 1.073 7 8 37 100 51 Information 0.044 0.582 20 2 142 900 52 Finance and Insurance 1.173 - 13 5 707 4000 53 Real Estate 0.279 - 12 6 93 405 54 Professional and Technical Services 0.635 - 23 1 181 2000 56 Administrative and Waste Services 0.077 0.362 21 4 86 523 61 Education Services 0.450 - 15 5 68 177 62 Health Care and Social Assistance 1.632 - 14 11 136 500 71 Entertainment 1.003 - 14 3 62 300 72 Accommodation and Food Services 0.080 0.697 16 4 28 79 81 Other Services (except Public Admin) 0.596 - 7 31 114 305 All All Sectors - Weighted 0.137 0.362 260 1 111 4000 NYC and CR - Ln (STA) [trips/day] NAICS Description `* a Obs. Employment NYC = New York City; CR = New York State Capital Region Table 15. STA non-linear models.

Freight, Freight trip, and Service trip Generation Models 47 Table 15. (Continued). Min. Mean Max. 23 Construction 0.326 - 6 12 72 201 31-33 Manufacturing 0.259 - 29 3 89 309 31 Food, Beverage, Tobacco, Textile, Apparel 0.201 - 3 100 142 184 32 Wood, Paper, Chemical, Plastics, Nonmetals 0.247 - 15 3 61 223 33 Metal, Machinery, Electronic, Furniture & Misc. 0.322 - 11 12 115 309 42 Wholesale 0.302 - 13 10 92 355 44-45 Retail Trade 0.254 - 13 11 52 125 44 Motor Vehicle, Furniture, Electronics, Clothing 0.339 - 10 11 48 125 45 Sporting Goods, Hobby, Book, & Music Stores 0.099 - 3 45 68 91 48 Modal Transportation & Support Activities 0.003 1.278 6 8 42 100 51 Information 0.887 - 13 15 209 900 52 Finance and Insurance 0.897 - 11 15 844 4000 53 Real Estate 0.012 0.567 7 17 137 405 54 Professional, Sci, and Tech Services 0.884 7 65 514 2000 56 Administrative and Waste Services 0.460 11 40 159 523 61 Education Services 0.021 0.592 11 10 84 177 62 Health Care and Social Assistance 1.689 - 9 40 152 500 71 Entertainment 1.220 - 12 13 75 300 72 Accommodation and Food Services 0.640 - 13 6 32 79 81 Other Services (except Public Admin) 0.596 - 7 31 114 305 All All Sectors - Weighted 0.518 - 171 3 167 4000 NYC - Ln (STA) [trips/day] NAICS Description `* a Obs. Employment Min. Mean Max. 23 Construction 0.359 - 3 9 21 40 31-33 Manufacturing 0.206 - 18 3 36 175 31 Food, Beverage, Tobacco, Textile, Apparel 0.304 - 3 28 78 175 32 Wood, Paper, Chemical, Plastics, Nonmetals 0.298 - 8 3 25 70 33 Metal, Machinery, Electronic, Furniture & Misc. 0.036 0.433 7 5 30 85 42 Wholesale 0.050 0.742 18 2 13 53 44-45 Retail Trade 0.020 0.973 11 1 25 202 44 Motor Vehicle, Furniture, Electronics, Clothing 0.018 0.960 8 1 30 202 45 Sporting Goods, Hobby, Book, & Music Stores 0.374 - 3 3 13 26 51 Information 0.026 0.749 7 2 18 60 53 Real Estate 0.082 - 4 6 16 41 54 Professional, Sci, and Tech Services 0.556 - 16 1 26 103 56 Administrative and Waste Services 0.183 - 11 4 20 82 61 Education Services 0.036 1.198 4 5 25 76 62 Health Care and Social Assistance 0.111 0.602 4 11 105 373 72 Accommodation and Food Services 0.016 1.546 4 4 17 51 All All Sectors - Weighted 0.037 0.846 104 1 26 373 CR - Ln (STA) [trips/day] NAICS Description `* a Obs. Employment NYC = New York City; CR = New York State Capital Region

48 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FG Models (RPI) FA (Pounds/Day), Linear Models Equation 31 expresses the calculation used to generate the models in Table 16. (31)FA Ei i= β Min. Mean Max. 31-33 Manufacturing 46.492 75 2 82 607 31 Food, Beverage, Tobacco, Textile, Apparel 109.978 9 10 99 200 33 Metal, Machinery, Electronic, Furniture & Misc. 25.427 33 2 106 607 42 Wholesale Trade 431.221 48 2 38 355 44-45 Retail Trade 74.999 44 3 38 202 44 Motor Vehicle, Furniture, Electronics, Clothing 100.519 34 3 36 202 72 Accommodation and Food 8.853 28 4 36 180 Min. Mean Max. 31-33 Manufacturing 42.723 46 2 110 607 31 Food, Beverage, Tobacco, Textile, Apparel 137.905 5 10 129 200 42 Wholesale Trade 351.038 21 10 72 355 44-45 Retail Trade 60.822 19 3 68 202 44 Motor Vehicle, Furniture, Electronics, Clothing 87.484 14 3 64 202 72 Accommodation and Food 8.135 24 5 38 180 Min. Mean Max. 23 Construction 153.338 8 4 16 40 32 Manufacturing - Wood, Paper, Chemical, Plastics, Nonmetals 818.186 12 3 23 70 42 Wholesale Trade 3089.543 27 2 12 53 44-45 Retail Trade 299.423 25 3 15 50 44 Motor Vehicle, Furniture, Electronics, Clothing 248.448 20 3 16 50 72 Accommodation and Food 26.734 4 4 20 51 CR - FA [pounds/day] NAICS Description a Obs. Employment NYC - FA [pounds/day] NAICS Description a Obs. Employment NYC and CR - FA [pounds/day] NAICS Description a Obs. Employment NYC = New York City; CR = New York State Capital Region Table 16. FA linear models.

Freight, Freight trip, and Service trip Generation Models 49 FA (Pounds/Day), Non-Linear Models Equation 32 expresses the calculation used to generate the models in Table 17. (32)FA Ei i= α × β Min. Mean Max. 23 Construction 50.149 1.626536 24 4 78 810 31-33 Manufacturing 887.901 0.962 75 2 82 607 31 Food, Beverage, Tobacco, Textile, Apparel 68.341 1.645 9 10 99 200 32 Wood, paper, chemical, plastics, nonmetals 4274.540 0.982 34 3 54 300 33 Metal, machinery, electronic, furniture & misc. 87.103 1.029 33 2 106 607 42 Wholesale Trade 11500.090 0.802 48 2 38 355 44-45 Retail Trade 267.898 1.886 44 3 38 202 44 Motor vehicle, furniture, electronics, clothing 1266.153 0.733 34 3 36 202 72 Accommodation and Food 21.716 1.69 28 4 36 180 All All Freight Intensive Sectors (FIS) 4420.138 0.452 233 2 59 810 Min. Mean Max. 23 Construction 58.930 1.484038 16 5 109 810 31-33 Manufacturing 1523.358 0.929 46 2 110 607 31 Food, Beverage, Tobacco, Textile, Apparel 218.448 1.615 5 10 129 200 32 Wood, paper, chemical, plastics, nonmetals 441.517 1.867 21 3 71 300 33 Metal, machinery, electronic, furniture & misc. 158.637 1.031 20 2 145 607 44-45 Retail Trade 88.038 1.496 19 3 68 202 44 Motor vehicle, furniture, electronics, clothing 80.449 1.559 14 3 64 202 45 Sporting goods, hobby, book, & music stores 251.826 1.342 5 30 80 200 72 Accommodation and Food 26.272 1.64 24 5 38 180 All All Freight Intensive Sectors (FIS) 2522.368 0.532 136 2 81 810 Min. Mean Max. 23 Construction 7.986 2.270933 8 4 16 40 31-33 Manufacturing 289.956 1.180 29 3 39 300 31 Food, Beverage, Tobacco, Textile, Apparel 56.714 1.701 4 13 62 175 32 Wood, paper, chemical, plastics, nonmetals 9.348 2.664 12 3 23 70 33 Metal, machinery, electronic, furniture & misc. 61.151 0.947 13 5 47 300 42 Wholesale Trade 5219.031 1.304 27 2 12 53 44-45 Retail Trade 49.681 2.64 25 3 15 50 44 Motor vehicle, furniture, electronics, clothing 261.045 1.169 20 3 16 50 45 Sporting goods, hobby, book, & music stores 73.831 3.96 5 3 10 26 72 Accommodation and Food 5.736 2.091 4 4 20 51 All All Freight Intensive Sectors (FIS) 1625.239 0.913 97 2 29 700 NYC and CR - Ln (FA) [pounds/day] NYC - Ln (FA) [pounds/day] CR - Ln (FA) [pounds/day] EmploymentNAICS Description `* a Obs. EmploymentNAICS Description `* a Obs. EmploymentNAICS Description `* a Obs. NYC = New York City; CR = New York State Capital Region Table 17. FA non-linear models.

50 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Day), Linear Models Equation 33 expresses the calculation used to generate the models in Table 18. (33)FP Ei i= β FP (Pounds/Day), Non-Linear Models Equation 34 expresses the calculation used to generate the models in Table 19. (34)FP Ei i= α × β Min. Mean Max. 31-33 Manufacturing 41.065 67 2 83 607 31 Food, Beverage, Tobacco, Textile, Apparel 216.084 7 13 84 184 32 Wood, Paper, Chemical, Plastics, Nonmetals 119.151 31 3 54 300 33 Metal, Machinery, Electronic, Furniture & Misc. 9.993 29 2 54 607 44-45 Retail Trade 46.849 25 3 35 200 44 Motor Vehicle, Furniture, Electronics, Clothing 91.439 20 3 31 125 72 Accommodation and Food 1.855 9 6 30 100 Min. Mean Max. 31-33 Manufacturing 35.817 38 2 121 607 31 Food, Beverage, Tobacco, Textile, Apparel 212.291 4 80 128 184 32 Wood, Paper, Chemical, Plastics, Nonmetals 88.971 17 3 82 300 42 Wholesale Trade 229.101 18 10 79 355 72 Accommodation and Food 1.867 8 6 31 100 Min. Mean Max. 23 Construction 16.302 3 9 14 20 31-33 Manufacturing 97.083 29 3 33 300 32 Wood, Paper, Chemical, Plastics, Nonmetals 698.234 14 3 21 70 42 Wholesale Trade 4442.041 25 2 12 53 44-45 Retail Trade 158.223 16 4 16 50 44 Motor Vehicle, Furniture, Electronics, Clothing 125.219 13 4 18 50 45 Sporting Goods, Hobby, Book, & Music Stores 1588.257 3 6 7 9 CR - FP [pounds/day] NAICS Description a Obs. Employment NYC - FP [pounds/day] NAICS Description a Obs. Employment NYC and CR - FP [pounds/day] NAICS Description a Obs. Employment NYC = New York City; CR = New York State Capital Region Table 18. FP linear models. Min. Mean Max. 23 Construction 4.922 1.06 12 9 47 201 31-33 Manufacturing 5389.032 0.57 67 2 83 607 31 Food, Beverage, Tobacco, Textile, Apparel 19.284 1.92 7 13 84 184 32 Wood, paper, chemical, plastics, nonmetals 771.387 2.19 31 3 54 300 33 Metal, machinery, electronic, furniture & misc. 10.255 1.37 29 2 54 607 42 Wholesale Trade 14746.320 0.67 43 2 40 355 44-45 Retail Trade 656.278 1.64 25 3 35 200 44 Motor vehicle, furniture, electronics, clothing 43.384 1.70 20 3 31 125 72 Accommodation and Food 5.995 0.69 9 6 30 100 All All Freight Intensive Sectors (FIS) 3561.123 0.65 167 2 61 700 NYC and CR - Ln (FP) [pounds/day] Employment NAICS Description `* a Obs. NYC = New York City; CR = New York State Capital Region Table 19. FP non-linear models.

Freight, Freight trip, and Service trip Generation Models 51 Min. Mean Max. 23 Construction 2.331 0.93 9 10 58 201 31-33 Manufacturing 358.596 1.64 38 2 121 607 31 Food, Beverage, Tobacco, Textile, Apparel 19.404 1.84 4 80 128 184 32 Wood, paper, chemical, plastics, nonmetals 7144.925 1.98 17 3 82 300 33 Metal, machinery, electronic, furniture & misc. 7.500 1.32 17 2 160 607 42 Wholesale Trade 142.334 1.91 18 10 79 355 44-45 Retail Trade 1002.841 1.20 9 3 69 200 44 Motor vehicle, furniture, electronics, clothing 636.783 1.47 7 3 54 125 72 Accommodation and Food 6.927 0.65 8 6 31 100 All All Freight Intensive Sectors (FIS) 128.220 1.11 90 2 87 607 Min. Mean Max. 23 Construction 3.355 1.89 3 9 14 20 31-33 Manufacturing 1387.964 0.977 29 3 33 300 31 Food, Beverage, Tobacco, Textile, Apparel 46.372 2.16 3 13 24 31 32 Wood, paper, chemical, plastics, nonmetals 495.567 1.35 14 3 21 70 33 Metal, machinery, electronic, furniture & misc. 18.054 1.48 12 5 49 300 42 Wholesale Trade 5126.014 1.39 25 2 12 53 44-45 Retail Trade 93.912 2.24 16 4 16 50 44 Motor vehicle, furniture, electronics, clothing 10.087 1.93 13 4 18 50 45 Sporting goods, hobby, book, & music 3.016 4.64 3 6 7 9 All All Freight Intensive Sectors (FIS) 3592.825 0.70 77 2 31 700 NYC - Ln (FP) [pounds/day] CR - Ln (FP) [pounds/day] Employment NAICS Description `* a Obs. Employment NAICS Description `* a Obs. NYC = New York City; CR = New York State Capital Region Table 19. (Continued). FTG as a Function of FG (RPI) FTA (Vehicle Trips/Day) as a Function of FA (Pounds/Day), Linear Models Equation 35 expresses the calculation used to generate the models in Table 20. (35)FTA FAi i= λ Min Mean Max 23 Construction 4.24E-04 22 4 37 201 31-33 Manufacturing 1.86E-04 67 2 63 350 31 Food, Beverage, Tobacco, Textile, Apparel 4.11E-04 8 10 93 200 33 Metal, Machinery, Electronic, Furniture & Misc. 6.90E-04 28 2 69 350 44-45 Retail Trade 3.81E-04 38 3 25 125 44 Motor Vehicle, Furniture, Electronics, Clothing 5.55E-04 29 3 24 125 48 Modal Transportation & Support Activities 8.40E-05 10 7 46 151 72 Accommodation and Food 3.66E-03 28 4 36 180 All All Freight Intensive Sectors (FIS) 3.15E-05 213 2 42 350 Obs. Employment NYC and CR - FTA [deliveries/day] NAICS Description k NYC = New York City; CR = New York State Capital Region Table 20. Relationship between FA and FTA linear models.

52 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FTA (Vehicle Trips/Day) as a Function of FA (Pounds/Day), Non-Linear Models Equation 36 expresses the calculation used to generate the models in Table 21. (36)FTA FAi i= α × λ Min. Mean Max. 23 Construction 1.439 0.184 22 4 37 201 31-33 Manufacturing 1.899 0.215 67 2 63 350 31 Food, Beverage, Tobacco, Textile, Apparel 1.343 0.207 8 10 93 200 32 Wood, paper, chemical, plastics, nonmetals 2.034 0.180 31 3 50 300 33 Metal, machinery, electronic, furniture & misc. 1.810 0.272 28 2 69 350 44-45 Retail Trade 1.751 0.196 38 3 25 125 44 Motor vehicle, furniture, electronics, clothing 1.665 0.208 29 3 24 125 45 Sporting goods, hobby, book, & music stores 2.161 0.170 9 3 28 91 48 Modal Transportation & Support Activities 1.227 0.227 10 7 46 151 72 Accommodation and Food 1.632 0.193 28 4 36 180 All All Freight Intensive Sectors (FIS) 1.731 0.194 213 2 42 350 NYC and CR - Ln (FTA) [deliveries/day] NAICS Description `* k Obs. Employment NYC = New York City; CR = New York State Capital Region Table 21. Relationship between FTA and FA non-linear models. FTP (Vehicles/Day) as a Function of FP (Pounds/Day), Linear Models Equation 37 expresses the calculation used to generate the models in Table 22. (37)FTP FPi i= λ Min Mean Max 31-33 Manufacturing 5.10E-04 56 2 59 350 31 Food, Beverage, Tobacco, Textile, Apparel 1.93E-03 6 13 73 184 32 Wood, Paper, Chemical, Plastics, Nonmetals 3.36E-04 27 3 45 300 33 Metal, Machinery, Electronic, Furniture & Misc. 9.68E-04 23 2 72 350 42 Wholesale Trade 8.45E-05 30 2 32 200 44-45 Retail Trade 7.22E-04 13 3 18 50 48 Modal Transportation & Support Activities 1.55E-04 6 9 66 151 All All Freight Intensive Sectors (FIS) 1.02E-04 123 2 46 350 Employment NYC and CR - FTP [shipments/day] NAICS Description k Obs. NYC = New York City; CR = New York State Capital Region Table 22. Relationship between FP and FTP linear models.

Freight, Freight trip, and Service trip Generation Models 53 FTP (Vehicles/Day) as a Function of FP (Pounds/Day), Non-Linear Models Equation 38 expresses the calculation used to generate the models in Table 23. (38)FTP FPi i= α × λ Min. Mean Max. 31-33 Manufacturing 7.838 0.129 56 2 59 350 31 Food, Beverage, Tobacco, Textile, Apparel 2.193 0.347 6 13 73 184 32 Wood, Paper, Chemical, Plastics, Nonmetals 3.236 0.231 27 3 45 300 33 Metal, Machinery, Electronic, Furniture & Misc. 2.926 0.280 23 2 72 350 42 Wholesale Trade 1.583 0.235 30 2 32 200 44-45 Retail Trade 2.438 0.293 13 3 18 50 44 Motor Vehicle, Furniture, Electronics, Clothing 2.248 0.319 10 3 17 50 48 Modal Transportation & Support Activities 1.274 0.240 6 9 66 151 72 Accommodation and Food 1.683 0.398 7 6 32 100 All All Freight Intensive Sectors (FIS) 4.915 0.160 123 2 46 350 NYC and CR - Ln (FTP) [shipments/day] NAICS Description `* k Obs. Employment NYC = New York City; CR = New York State Capital Region Table 23. FTP as a function of FP—non-linear models (RPI). FP Models, New York State (CFS) FP (Pounds/Year) 2-Digit NAICS (All Modes), Linear Models Equation 39 expresses the calculation used to generate the models in Table 24. (39)FP Ei i= β Table 24. FP 2-digit NAICS (all modes), linear models, New York State (CFS 2007). 21 Mining 26,126,448 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 876,226 180 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 62,289 470 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 48,081 540 42 Wholesale Trade 565,253 985 45 Sporting Goods, Hobby, Books & Music 266,125 80 49 Postal Service, Couriers & Messengers, Warehousing & Storage 838,638 30 51 Information 39,166 40 55 Management of Companies and Enterprises 231,546 35 CFS - New York - All Modes [pounds/year] NAICS Description a Obs.

54 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 3-Digit NAICS (All Modes), Linear Models Equation 40 expresses the calculation used to generate the models in Table 25. (40)FP Ei i= β 212 Mining (except Oil and Gas) 26,126,448 65 311 Food Manufacturing 736,479 100 312 Beverage and Tobacco Product Manufacturing 2,178,828 25 313 Textile Mills 35,721 15 314 Textile Product Mills 39,006 15 315 Apparel Manufacturing 5,359 20 321 Wood Product Manufacturing 652,905 60 322 Paper Manufacturing 703,119 60 323 Printing and Related Support Activities 332,054 55 324 Petroleum and Coal Products Manufacturing 17,085,653 20 325 Chemical Manufacturing 17,968 100 326 Plastics and Rubber Products Manufacturing 144,649 90 327 Nonmetallic Mineral Product Manufacturing 1,074,852 90 331 Primary Metal Manufacturing 628,500 40 332 Fabricated Metal Product Manufacturing 60,080 125 333 Machinery Manufacturing 40,849 95 334 Computer and Electronic Product Manufacturing 1,669 70 335 Electrical Equipment, Appliance, and Component Manufacturing 10,610 30 336 Transportation Equipment Manufacturing 109,445 50 337 Furniture and Related Product Manufacturing 27,090 50 339 Miscellaneous Manufacturing 6,579 80 423 Merchant Wholesalers, Durable Goods 240,429 545 424 Merchant Wholesalers, Nondurable Goods 723,241 440 454 Nonstore Retailers 266,125 80 493 Warehousing and Storage 838,638 30 511 Publishing Industries (except Internet) 39,166 40 551 Management of Companies and Enterprises 231,546 30 CFS - New York - All Modes [pounds/year] NAICS Description a Obs. Table 25. FP 3-digit NAICS (all modes), linear models, New York State (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 55 FP (Pounds/Year) 3-Digit NAICS (Road Modes), Linear Models Equation 42 expresses the calculation used to generate the models in Table 27. (42)FP Ei i= β FP (Pounds/Year) 2-Digit NAICS (Road Modes), Linear Models Equation 41 expresses the calculation used to generate the models in Table 26. (41)FP Ei i= β 21 Mining 25,335,647 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 856,281 180 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 53,399 470 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 37,748 540 42 Wholesale Trade 548,908 985 45 Sporting Goods, Hobby, Books & Music Stores 255,977 80 51 Information 39,140 40 55 Management of Companies and Enterprises 231,297 30 CFS - New York - Road Modes [pounds/year] NAICS Description a Obs. Table 26. FP 2-digit NAICS (road modes), linear models, New York State (CFS 2007). 212 Mining (except Oil and Gas) 25,335,647 65 311 Food Manufacturing 722,970 100 312 Beverage and Tobacco Product Manufacturing 2,115,619 25 314 Textile Product Mills 38,337 15 321 Wood Product Manufacturing 640,232 60 322 Paper Manufacturing 591,017 60 323 Printing and Related Support Activities 323,522 55 325 Chemical Manufacturing 11,948 100 327 Nonmetallic Mineral Product Manufacturing 1,044,915 90 331 Primary Metal Manufacturing 520,289 40 332 Fabricated Metal Product Manufacturing 59,649 125 333 Machinery Manufacturing 35,581 95 335 Electrical Equipment, Appliance, and Component Manufacturing 10,050 30 336 Transportation Equipment Manufacturing 76,299 50 337 Furniture and Related Product Manufacturing 26,976 50 423 Merchant Wholesalers, Durable Goods 206,510 545 424 Merchant Wholesalers, Nondurable Goods 715,443 440 454 Nonstore Retailers 255,977 80 511 Publishing Industries (except Internet) 39,140 40 551 Management of Companies and Enterprises 231,297 30 CFS - New York - Road Modes [pounds/year] NAICS Description Obs.a Table 27. FP 3-digit NAICS (road modes), linear models, New York State (CFS 2007).

56 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 2-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 43 expresses the calculation used to generate the models in Table 28. ( ), where is the natural logarithmic (43)FP Ln E Lni i= β 21 Mining 246,867,379 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 16,281,311 180 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 20,645,218 470 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 2,401,143 540 42 Wholesale Trade 8,529,135 985 45 Sporting Goods, Hobby, Books & Music 6,315,305 80 49 Postal Service, Couriers & Messengers, Warehousing & Storage 25,309,371 30 51 Information 1,594,972 40 55 Management of Companies and Enterprises 10,991,421 35 Obs. CFS - New York - All Modes [pounds/year] NAICS Description a Table 28. FP 2-digit NAICS (all modes), non-linear models, New York State (CFS 2007). Log-Log Model Equation 44 expresses the calculation used to generate the models in Table 29. (44)FP Ei i= α × β 21 Mining 1.70E+08 1.28 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 224,173 1.40 180 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 25,650,878 1.12 470 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 14,200 1.35 540 42 Wholesale Trade 6,143,087 1.06 985 45 Sporting Goods, Hobby, Books & Music Stores 8,661,789 1.144 80 49 Postal Service, Couriers & Messengers, Warehousing & Storage 49,897,518 0.642 30 51 Information 4,652 1.344 40 55 Management of Companies and Enterprises 51,527 4.10 35 `* CFS - New York - All Modes [pounds/year] NAICS Description Obs.a Table 29. FP 2-digit NAICS (all modes), non-linear models, New York State (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 57 Log-Lin Model Equation 45 expresses the calculation used to generate the models in Table 30. , where is the exponential function ( ) (45)FP e e ei E xi= α × β 21 Mining 1.43E+09 0.049 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 5,368,605 0.024 180 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 946,011,717 0.002 470 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 1,246,411 0.006 540 42 Wholesale Trade 34,011,548 0.029 985 45 Sporting Goods, Hobby, Books & Music Stores 147,124,041 0.014 80 49 Postal Service, Couriers & Messengers, Warehousing & Storage 91,821,538 0.010 30 51 Information 205,784 0.010 40 55 Management of Companies and Enterprises 4.04E+09 0.009 35 Obs. CFS - New York - All Modes [pounds/year] NAICS Description `* a Table 30. FP 2-digit NAICS (all modes), non-linear models, New York State (CFS 2007).

58 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 3-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 46 expresses the calculation used to generate the models in Table 31. ( ), where is the natural logarithmic (46)FP Ln E Lni i= β 212 Mining (Except Oil and Gas) 246,867,379 65 311 Food Manufacturing 20,865,881 100 312 Beverage and Tobacco Manufacturing 37,826,939 25 313 Textile Mills 419,055 15 314 Textile Product Mills 468,595 15 315 Apparel Manufacturing 178,778 20 321 Wood Product Manufacturing 6,033,498 60 322 Paper Manufacturing 20,232,004 60 323 Printing and Related Support Activities 2,634,454 55 324 Petroleum and Coal Products Manufacturing 180,043,872 20 325 Chemical Manufacturing 11,510,364 100 326 Plastics and Rubber Products Manufacturing 3,146,431 90 327 Nonmetallic Mineral Product Manufacturing 30,485,284 90 331 Primary Metal Manufacturing 18,595,964 40 332 Fabricated Metal Product Manufacturing 1,412,150 125 333 Machinery Manufacturing 964,732 95 334 Computer and Electronic Product 153,129 70 335 Electrical Equipment, Appliance, and Component Manufacturing 335,552 30 336 Transportation Equipment Manufacturing 5,384,491 50 337 Furniture and Related Product Manufacturing 701,716 50 339 Miscellaneous Manufacturing 328,636 80 423 Merchant Wholesalers, Durable Goods 2,798,542 545 424 Merchant Wholesalers, Nondurable Goods 16,085,108 440 454 Nonstore Retailers 6,315,305 80 493 Warehousing and Storage 25,309,371 30 511 Publishing Industries (except Internet) 1,594,972 40 551 Management of Companies and Enterprises 10,991,421 30 CFS - New York - All Modes [pounds/year] NAICS Description a Obs. Table 31. FP 3-digit NAICS (all modes), non-linear models, New York State (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 59 Log-Log Model Equation 47 expresses the calculation used to generate the models in Table 32. (47)FP Ei i= α × β 212 Mining (Except Oil and Gas) 169,688,897 1.28 65 311 Food Manufacturing 81,344 1.76 100 312 Beverage and Tobacco Manufacturing 1,243,252 1.13 25 313 Textile Mills 54,408 0.84 15 314 Textile Product Mills 1,744 1.66 15 315 Apparel Manufacturing 8,039 0.97 20 321 Wood Product Manufacturing 119,417 1.86 60 322 Paper Manufacturing 35,012 1.71 60 323 Printing and Related Support Activities 6,691 1.48 55 324 Petroleum and Coal Products Manufacturing 3.04E+20 9.08 20 325 Chemical Manufacturing 59,106 1.57 100 326 Plastics and Rubber Products Manufacturing 1,503 2.09 90 327 Nonmetallic Mineral Product Manufacturing 275,040,184 0.59 90 331 Primary Metal Manufacturing 119,355 1.40 40 332 Fabricated Metal Product Manufacturing 73,368 1.19 125 333 Machinery Manufacturing 4,773 1.31 95 334 Computer and Electronic Product Manufacturing 2,189 1.06 70 335 Electrical Equipment, Appliance, and Component Manufacturing 9,485 1.12 30 336 Transportation Equipment Manufacturing 85,317 0.96 50 337 Furniture and Related Product Manufacturing 3,975 1.49 50 339 Miscellaneous Manufacturing 6,462 1.39 80 423 Merchant Wholesalers, Durable Goods 2,085,726 1.21 545 424 Merchant Wholesalers, Nondurable Goods 3,986,660 0.97 440 454 Nonstore Retailers 8,661,789 1.14 80 493 Warehousing and Storage 3.84E+22 5.33 30 511 Publishing Industries (except Internet) 4,652 1.34 40 551 Management of Companies and Enterprises 51,527 4.10 30 a Obs. CFS - New York - All Modes [pounds/year] NAICS Description `* Table 32. FP 3-digit NAICS (all modes), non-linear models, New York State (CFS 2007).

60 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Lin Model Equation 48 expresses the calculation used to generate the models in Table 33. ( )= α × β , where is the exponential function (48)FP e e ei E xi 212 Mining (Except Oil and Gas) 1,430,291,766 0.049 65 311 Food Manufacturing 24,994,127 0.020 100 312 Beverage and Tobacco Manufacturing 9,883,289 0.020 25 313 Textile Mills 186,660 0.029 15 314 Textile Product Mills 96,032 0.034 15 315 Apparel Manufacturing 8.51E+18 0.083 20 321 Wood Product Manufacturing 6,908,406 0.074 60 322 Paper Manufacturing 20,682,599 0.013 60 323 Printing and Related Support Activities 224,407 0.023 55 324 Petroleum and Coal Products Manufacturing 1.96E+59 0.638 20 325 Chemical Manufacturing 20,804,687 0.001 100 326 Plastics and Rubber Products Manufacturing 3,755,021 0.018 90 327 Nonmetallic Mineral Product Manufacturing 1.98E+45 0.141 90 331 Primary Metal Manufacturing 12,666,016 0.012 40 332 Fabricated Metal Product Manufacturing 1,540,908 0.017 125 333 Machinery Manufacturing 279,542 0.010 95 334 Computer and Electronic Product Manufacturing 41,253 0.003 70 335 Electrical Equipment, Appliance, and Component Manufacturing 125,519 0.010 30 336 Transportation Equipment Manufacturing 1,435,495 0.005 50 337 Furniture and Related Product Manufacturing 351,232 0.015 50 339 Miscellaneous Manufacturing 205,476 0.012 80 423 Merchant Wholesalers, Durable Goods 13,933,033 0.045 545 424 Merchant Wholesalers, Nondurable Goods 20,115,663 0.021 440 454 Nonstore Retailers 147,124,041 0.014 80 493 Warehousing and Storage 91,821,538 0.010 30 511 Publishing Industries (except Internet) 205,784 0.010 40 551 Management of Companies and Enterprises 4,040,975,454 0.009 30 Obs. CFS - New York - All Modes [pounds/year] NAICS Description `* a Table 33. FP 3-digit NAICS (all modes), non-linear models, New York State (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 61 FP (Pounds/Year) 2-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 49 expresses the calculation used to generate the models in Table 34. ( ), where is the natural logarithmic (49)FP Ln E Lni i= β 21 Mining 235,396,875 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 15,786,981 180 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 18,982,265 470 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 2,007,680 540 42 Wholesale Trade 8,006,293 985 45 Sporting Goods, Hobby, Books & Music Stores 6,132,574 80 51 Information 1,590,763 40 55 Management of Companies and Enterprises 10,981,410 30 CFS - New York - Road Modes [pounds/year] NAICS Description a Obs. Table 34. FP 2-digit NAICS (road modes), non-linear models, New York State (CFS 2007). Log-Log Model Equation 50 expresses the calculation used to generate the models in Table 35. (50)FP Ei i= α × β 21 Mining 167,820,623 1.26 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 204,792 1.41 180 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 27,471,096 1.11 470 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 15,082 1.34 540 42 Wholesale Trade 5,598,338 1.04 985 45 Sporting Goods, Hobby, Books & Music Stores 11,536,835 1.111 80 51 Information 4,177 1.359 40 55 Management of Companies and Enterprises 45,121 4.08 30 CFS - New York - Road Modes [pounds/year] NAICS Description `* a Obs. Table 35. FP 2-digit NAICS (road modes), non-linear models, New York State (CFS 2007).

62 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Lin Model Equation 51 expresses the calculation used to generate the models in Table 36. = α × β , where is the exponential function ( ) (51)FP e e ei E xi 21 Mining 1.43E+09 0.049 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 4,887,278 0.024 180 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 955,591,459 0.002 470 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 1,255,454 0.006 540 42 Wholesale Trade 29,330,047 0.029 985 45 Sporting Goods, Hobby, Books & Music Stores 175,137,309 0.014 80 51 Information 186,841 0.010 40 55 Management of Companies and Enterprises 3.81E+09 0.009 30 CFS - New York - Road Modes [pounds/year] NAICS Description `* a Obs. Table 36. FP 2-digit NAICS (road modes), non-linear models, New York State (CFS 2007). FP (Pounds/Year) 3-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 52 expresses the calculation used to generate the models in Table 37. ( ), where is the natural logarithmic (52)FP Ln E Lni i= β 212 Mining (Except Oil and Gas) 235,396,875 65 311 Food Manufacturing 20,343,134 100 312 Beverage and Tobacco Manufacturing 36,277,995 25 314 Textile Product Mills 462,165 15 321 Wood Product Manufacturing 5,896,322 60 322 Paper Manufacturing 17,231,624 60 323 Printing and Related Support Activities 2,562,800 55 325 Chemical Manufacturing 6,318,337 100 327 Nonmetallic Mineral Product Manufacturing 29,737,028 90 331 Primary Metal Manufacturing 15,281,532 40 332 Fabricated Metal Product Manufacturing 1,396,123 125 333 Machinery Manufacturing 881,285 95 335 Electrical Equipment, Appliance, and Component Manufacturing 323,614 30 336 Transportation Equipment Manufacturing 3,715,722 50 337 Furniture and Related Product Manufacturing 696,881 50 423 Merchant Wholesalers, Durable Goods 2,456,332 545 424 Merchant Wholesalers, Nondurable Goods 15,324,097 440 454 Nonstore Retailers 6,132,574 80 511 Publishing Industries (except Internet) 1,590,763 40 551 Management of Companies and Enterprises 10,981,410 30 CFS - New York - Road Modes [pounds/year] NAICS Description a Obs. Table 37. FP 3-digit NAICS (road modes), non-linear models, New York State (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 63 Log-Log Model Equation 53 expresses the calculation used to generate the models in Table 38. (53)FP Ei i= α × β 212 Mining (Except Oil and Gas) 167,820,623 1.26 65 311 Food Manufacturing 83,167 1.75 100 312 Beverage and Tobacco Manufacturing 1,236,020 1.13 25 314 Textile Product Mills 1,756 1.66 15 321 Wood Product Manufacturing 118,825 1.85 60 322 Paper Manufacturing 36,996 1.69 60 323 Printing and Related Support Activities 6,735 1.46 55 325 Chemical Manufacturing 61,351 1.54 100 327 Nonmetallic Mineral Product Manufacturing 2.67E+15 5.45 90 331 Primary Metal Manufacturing 152,037 1.37 40 332 Fabricated Metal Product Manufacturing 74,568 1.17 125 333 Machinery Manufacturing 5,356 1.27 95 335 Electrical Equipment, Appliance, and Component Manufacturing 9,884 1.09 30 336 Transportation Equipment Manufacturing 105,514 0.88 50 337 Furniture and Related Product Manufacturing 5,047 1.43 50 423 Merchant Wholesalers, Durable Goods 1,880,746 1.20 545 424 Merchant Wholesalers, Nondurable Goods 3,370,818 0.94 440 454 Nonstore Retailers 11,536,835 1.11 80 511 Publishing Industries (except Internet) 4,177 1.36 40 551 Management of Companies and Enterprises 45,121 4.08 30 CFS - New York - Road Modes [pounds/year] NAICS Description Obs.`* a Table 38. FP 3-digit NAICS (road modes), non-linear models, New York State (CFS 2007). Log-Lin Model Equation 54 expresses the calculation used to generate the models in Table 39. , where is the exponential function ( ) (54)FP e e ei E xi= α × β 212 Mining (Except Oil and Gas) 151,748,280 0.048 65 311 Food Manufacturing 1,963,482 0.020 100 312 Beverage and Tobacco Manufacturing 2,034,542 0.020 25 314 Textile Product Mills 78,784 0.034 15 321 Wood Product Manufacturing 958,188 0.073 60 322 Paper Manufacturing 7,777,389 0.013 60 323 Printing and Related Support Activities 71,291 0.023 55 325 Chemical Manufacturing 815,494 0.001 100 327 Nonmetallic Mineral Product Manufacturing 1,350 0.140 90 331 Primary Metal Manufacturing 3,245,717 0.012 40 332 Fabricated Metal Product Manufacturing 169,578 0.017 125 333 Machinery Manufacturing 86,960 0.009 95 335 Electrical Equipment, Appliance, and Component Manufacturing 59,669 0.010 30 336 Transportation Equipment Manufacturing 398,960 0.005 50 337 Furniture and Related Product Manufacturing 170,149 0.014 50 423 Merchant Wholesalers, Durable Goods 237,918 0.044 545 424 Merchant Wholesalers, Nondurable Goods 2,280,188 0.020 440 454 Nonstore Retailers 3,024,844 0.014 80 511 Publishing Industries (except Internet) 16,743 0.010 40 551 Management of Companies and Enterprises 276,550 0.009 30 Obs. CFS - New York - Road Modes [pounds/year] NAICS Description ` a Table 39. FP 3-digit NAICS (road modes), non-linear models, New York State (CFS 2007).

64 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP Models, California (CFS) FP (Pounds/Year) 2-Digit NAICS (All Modes), Linear Models Equation 55 expresses the calculation used to generate the models in Table 40. (55)FP Ei i= β Table 40. FP 2-digit NAICS (all modes), linear models, California (CFS 2007). 21 Mining 31,294,508 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 590,798 470 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 551,889 810 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 42,751 1000 42 Wholesale Trade 610,208 1890 45 Sporting Goods, Hobby, Books & Music 65,478 70 49 Postal Service, Couriers & Messengers, Warehousing & Storage 962,702 125 51 Information 126,226 50 55 Management of Companies and Enterprises 212,740 95 Obs. CFS - California - All Modes [pounds/year] NAICS Description a

Freight, Freight trip, and Service trip Generation Models 65 FP (Pounds/Year) 3-Digit NAICS (All Modes), Linear Models Equation 56 expresses the calculation used to generate the models in Table 41. (56)FP Ei i= β Table 41. FP 3-digit NAICS (all modes), linear models, California (CFS 2007). 212 Mining (except Oil and Gas) 31,294,508 65 311 Food Manufacturing 526,756 290 312 Beverage and Tobacco Product Manufacturing 1,350,394 70 313 Textile Mills 21,340 20 314 Textile Product Mills 109,208 30 315 Apparel Manufacturing 10,790 50 316 Leather and Allied Product Manufacturing 2,921 10 321 Wood Product Manufacturing 713,111 105 322 Paper Manufacturing 689,784 80 323 Printing and Related Support Activities 180,576 90 324 Petroleum and Coal Products Manufacturing 9,622,939 80 325 Chemical Manufacturing 31,388 170 326 Plastics and Rubber Products Manufacturing 117,861 140 327 Nonmetallic Mineral Product Manufacturing 3,393,056 155 331 Primary Metal Manufacturing 1,961,209 45 332 Fabricated Metal Product Manufacturing 88,210 225 333 Machinery Manufacturing 18,939 105 334 Computer and Electronic Product 1,913 230 335 Electrical Equipment, Appliance, and Component Manufacturing 55,085 80 336 Transportation Equipment Manufacturing 30,664 95 337 Furniture and Related Product Manufacturing 89,697 100 339 Miscellaneous Manufacturing 3,444 115 423 Merchant Wholesalers, Durable Goods 293,427 1075 424 Merchant Wholesalers, Nondurable Goods 852,945 815 454 Nonstore Retailers 65,478 70 493 Warehousing and Storage 962,702 125 511 Publishing Industries (except Internet) 126,226 50 551 Management of Companies and Enterprises 212,740 95 CFS - California - All Modes [pounds/year] NAICS Description a Obs.

66 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 2-Digit NAICS (Road Modes), Linear Models Equation 57 expresses the calculation used to generate the models in Table 42. (57)FP Ei i= β 21 Mining 22,824,611 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 523,136 470 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 282,044 810 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 27,392 1000 42 Wholesale Trade 569,334 1890 49 Postal Service, Couriers & Messengers, Warehousing & Storage 952,758 125 51 Information 126,123 50 55 Management of Companies and Enterprises 202,911 95 CFS - California - Road Modes [pounds/year] NAICS Description a Obs. Table 42. FP 2-digit NAICS (road modes), linear models, California (CFS 2007). FP (Pounds/Year) 3-Digit NAICS (Road Modes), Linear Models Equation 58 expresses the calculation used to generate the models in Table 43. (58)FP Ei i= β 212 Mining (except Oil and Gas) 22,824,611 65 311 Food Manufacturing 465,422 290 312 Beverage and Tobacco Product Manufacturing 1,200,033 70 313 Textile Mills 21,301 20 314 Textile Product Mills 104,372 30 315 Apparel Manufacturing 9,366 50 321 Wood Product Manufacturing 590,528 105 322 Paper Manufacturing 644,367 80 323 Printing and Related Support Activities 178,115 90 324 Petroleum and Coal Products Manufacturing 3,187,020 80 325 Chemical Manufacturing 21,700 165 326 Plastics and Rubber Products Manufacturing 108,286 140 327 Nonmetallic Mineral Product Manufacturing 2,955,178 155 332 Fabricated Metal Product Manufacturing 78,014 225 333 Machinery Manufacturing 17,012 105 334 Computer and Electronic Product 1,489 230 335 Electrical Equipment, Appliance, and Component Manufacturing 47,240 80 336 Transportation Equipment Manufacturing 25,276 95 337 Furniture and Related Product Manufacturing 78,845 100 339 Miscellaneous Manufacturing 2,795 115 423 Merchant Wholesalers, Durable Goods 270,730 1075 424 Merchant Wholesalers, Nondurable Goods 798,142 815 493 Warehousing and Storage 952,758 125 511 Publishing Industries (except Internet) 126,123 50 551 Management of Companies and Enterprises 202,911 95 CFS - California - Road Modes [pounds/year] NAICS Description a Obs. Table 43. FP 3-digit NAICS (road modes), linear models, California (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 67 FP (Pounds/Year) 2-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 59 expresses the calculation used to generate the models in Table 44. ( ), where is the natural logarithmic (59)FP Ln E Lni i= β 21 Mining 424,606,800 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 23,567,728 470 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 60,417,115 810 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 2,347,140 1000 42 Wholesale Trade 14,215,616 1890 45 Sporting Goods, Hobby, Books & Music 1,069,771 70 49 Postal Service, Couriers & Messengers, Warehousing & Storage 35,170,984 125 51 Information 3,831,102 50 55 Management of Companies and Enterprises 27,776,524 95 CFS - California - All Modes [pounds/year] NAICS Description a Obs. Table 44. FP 2-digit NAICS (all modes), non-linear models, California (CFS 2007). Log-Log Model Equation 60 expresses the calculation used to generate the models in Table 45. (60)FP Ei i= α × β 21 Mining 39,153,022 1.29 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 539,826 1.55 470 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 909,592,631 0.94 810 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 10,924 1.32 1000 42 Wholesale Trade 2,169,296 1.30 1890 45 Sporting Goods, Hobby, Books & Music Stores 64,420 1.82 70 49 Postal Service, Couriers & Messengers, Warehousing & Storage 50,964,839.69 0.29 125 51 Information 11,326.89 1.27 50 55 Management of Companies and Enterprises 5.55E+20 5.06 95 Obs. CFS - California - All Modes [pounds/year] NAICS Description `* a Table 45. FP 2-digit NAICS (all modes), non-linear models, California (CFS 2007).

68 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Lin Model Equation 61 expresses the calculation used to generate the models in Table 46. = α × β , where is the exponential function ( ) (61)FP e e ei E xi 21 Mining 688,538,046 0.036 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 179,205,213 0.010 470 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 1.16E+50 0.024 810 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 1,008,544 0.005 1000 42 Wholesale Trade 37,926,079 0.023 1890 45 Sporting Goods, Hobby, Books & Music Stores 3,676,540 0.032 70 49 Postal Service, Couriers & Messengers, Warehousing & Storage 75,799,546 0.006 125 51 Information 210,257 0.009 50 55 Management of Companies and Enterprises 8.66E+50 0.031 95 NAICS Description `* CFS - California - All Modes [pounds/year] Obs.a Table 46. FP 2-digit NAICS (all modes), non-linear models, California (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 69 212 Mining (except Oil and Gas) 424,606,800 65 311 Food Manufacturing 29,286,811 290 312 Beverage and Tobacco Product Manufacturing 39,038,842 70 313 Textile Mills 455,842 20 314 Textile Product Mills 2,048,024 30 315 Apparel Manufacturing 313,203 50 316 Leather and Allied Product Manufacturing 81,061 10 321 Wood Product Manufacturing 13,875,575 105 322 Paper Manufacturing 15,858,188 80 323 Printing and Related Support Activities 2,023,073 90 324 Petroleum and Coal Products Manufacturing 299,851,573 80 325 Chemical Manufacturing 13,397,054 170 326 Plastics and Rubber Products Manufacturing 4,263,735 140 327 Nonmetallic Mineral Product Manufacturing 103,187,661 155 331 Primary Metal Manufacturing 23,286,173 45 332 Fabricated Metal Product Manufacturing 2,189,669 225 333 Machinery Manufacturing 471,154 105 334 Computer and Electronic Product 159,577 230 335 Electrical Equipment, Appliance, and Component Manufacturing 1,394,323 80 336 Transportation Equipment Manufacturing 3,002,591 95 337 Furniture and Related Product Manufacturing 2,124,498 100 339 Miscellaneous Manufacturing 267,461 115 423 Merchant Wholesalers, Durable Goods 5,556,032 1075 424 Merchant Wholesalers, Nondurable Goods 26,492,275 815 454 Nonstore Retailers 1,069,771 70 493 Warehousing and Storage 35,170,984 125 511 Publishing Industries (except Internet) 3,831,102 50 551 Management of Companies and Enterprises 27,776,524 95 CFS - California - All Modes [pounds/year] Obs.NAICS Description a Table 47. FP 3-digit NAICS (all modes), non-linear models, California (CFS 2007). FP (Pounds/Year) 3-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 62 expresses the calculation used to generate the models in Table 47. , where is the natural logarithmic (62)FP Ln E Lni i ( )= β

70 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Log Model Equation 63 expresses the calculation used to generate the models in Table 48. (63)FP Ei i= α × β 212 Mining (except Oil and Gas) 39,153,022 1.29 65 311 Food Manufacturing 1,218,533 1.31 290 312 Beverage and Tobacco Product Manufacturing 41,628 1.77 70 313 Textile Mills 16,424 1.20 20 314 Textile Product Mills 158,293 0.89 30 315 Apparel Manufacturing 1,193 1.87 50 316 Leather and Allied Product Manufacturing 1,038 1.48 10 321 Wood Product Manufacturing 322,252 1.69 105 322 Paper Manufacturing 212,028 1.37 80 323 Printing and Related Support Activities 4,760 1.66 90 324 Petroleum and Coal Products Manufacturing 9.22E+17 8.75 80 325 Chemical Manufacturing 666,465 1.61 170 326 Plastics and Rubber Products Manufacturing 11,276 1.97 140 327 Nonmetallic Mineral Product Manufacturing 1.79E+18 5.52 155 331 Primary Metal Manufacturing 36,458 1.71 45 332 Fabricated Metal Product Manufacturing 13,086 1.48 225 333 Machinery Manufacturing 4,477 1.24 105 334 Computer and Electronic Product Manufacturing 3,199 1.07 230 335 Electrical Equipment, Appliance, and Component Manufacturing 4,286 1.47 80 336 Transportation Equipment Manufacturing 34,691 1.11 95 337 Furniture and Related Product Manufacturing 22,063 1.29 100 339 Miscellaneous Manufacturing 2,767 1.25 115 423 Merchant Wholesalers, Durable Goods 400,385 1.43 1075 424 Merchant Wholesalers, Nondurable Goods 9,727,884 1.09 815 454 Nonstore Retailers 64,420 1.82 70 493 Warehousing and Storage 50,964,840 0.29 125 511 Publishing Industries (except Internet) 11,327 1.27 50 551 Management of Companies and Enterprises 5.55E+20 5.06 95 CFS - California - All Modes [pounds/year] Obs.NAICS Description `* a Table 48. FP 3-digit NAICS (all modes), non-linear models, California (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 71 Log-Lin Model Equation 64 expresses the calculation used to generate the models in Table 49. ( )= α × β , where is the exponential function (64)FP e e ei E xi 212 Mining (except Oil and Gas) 688,538,046 0.036 65 311 Food Manufacturing 200,141,034 0.006 290 312 Beverage and Tobacco Product Manufacturing 22,008,269 0.015 70 313 Textile Mills 579,819 0.010 20 314 Textile Product Mills 1,269,000 0.015 30 315 Apparel Manufacturing 544,819 0.016 50 316 Leather and Allied Product Manufacturing 6.51E+15 0.103 10 321 Wood Product Manufacturing 48,422,963 0.025 105 322 Paper Manufacturing 20,535,666 0.014 80 323 Printing and Related Support Activities 208,535 0.029 90 324 Petroleum and Coal Products Manufacturing 1,873,289,492 0.006 80 325 Chemical Manufacturing 1.92E+42 0.007 170 326 Plastics and Rubber Products Manufacturing 31,966,463 0.012 140 327 Nonmetallic Mineral Product Manufacturing 36,648,177,981 0.012 155 331 Primary Metal Manufacturing 11,456,743 0.013 45 332 Fabricated Metal Product Manufacturing 656,081 0.024 225 333 Machinery Manufacturing 105,301 0.011 105 334 Computer and Electronic Product Manufacturing 133,690 0.004 230 335 Electrical Equipment, Appliance, and Component Manufacturing 234,480 0.016 80 336 Transportation Equipment Manufacturing 2,789,199 0.003 95 337 Furniture and Related Product Manufacturing 694,810 0.019 100 339 Miscellaneous Manufacturing 72,677 0.006 115 423 Merchant Wholesalers, Durable Goods 9,621,223 0.027 1075 424 Merchant Wholesalers, Nondurable Goods 104,914,020 0.017 815 454 Nonstore Retailers 3,676,540 0.032 70 493 Warehousing and Storage 75,799,546 0.006 125 511 Publishing Industries (except Internet) 210,257 0.009 50 551 Management of Companies and Enterprises 8.66323E+50 0.031 95 Obs. CFS - California - All Modes [pounds/year] NAICS Description `* a Table 49. FP 3-digit NAICS (all modes), non-linear models, California (CFS 2007).

72 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 2-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 65 expresses the calculation used to generate the models in Table 50. , where is the natural logarithmic (65)FP Ln E Lni i ( )= β Log-Log Model Equation 66 expresses the calculation used to generate the models in Table 51. (66)FP Ei i= α × β 21 Mining 285,150,949 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 21,286,700 470 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 48,684,193 810 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 1,780,223 1000 42 Wholesale Trade 13,291,802 1890 49 Postal Service, Couriers & Messengers, Warehousing & Storage 34,563,636 125 51 Information 3,821,957 50 55 Management of Companies and Enterprises 26,140,670 95 CFS - California - Road Modes [pounds/year] NAICS Description a Obs. Table 50. FP 2-digit NAICS (road modes), non-linear models, California (CFS 2007). Table 51. FP 2-digit NAICS (road modes), non-linear models, California (CFS 2007). 21 Mining 40,515,715 1.22 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 457,894 1.57 470 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 800,715,035 0.83 810 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 12,636 1.27 1000 42 Wholesale Trade 2,160,985 1.30 1890 49 Postal Service, Couriers & Messengers, Warehousing & Storage 50,400,999 0.29 125 51 Information 7,553 1.32 50 55 Management of Companies and Enterprises 5.50E+20 5.06 95 Obs. CFS - California - Road Modes [pounds/year] NAICS Description `* a

Freight, Freight trip, and Service trip Generation Models 73 Log-Lin Model Equation 67 expresses the calculation used to generate the models in Table 52. ( )= α × β , where is the exponential function (67)FP e e ei E xi Table 52. FP 2-digit NAICS (road modes), non-linear models, California (CFS 2007). 21 Mining 599,926,026 0.034 65 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 169,294,022 0.010 470 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 1.51E+49 0.024 810 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 966,684 0.005 1000 42 Wholesale Trade 37,690,540 0.023 1890 49 Postal Service, Couriers & Messengers, Warehousing & Storage 74,475,722 0.006 125 51 Information 146,922 0.009 50 55 Management of Companies and Enterprises 2.54E+50 0.030 95 Obs. CFS - California - Road Modes [pounds/year] NAICS Description `* a

74 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 3-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 68 expresses the calculation used to generate the models in Table 53. , where is the natural logarithmic (68)FP Ln E Lni i ( )= β Table 53. FP 3-digit NAICS (road modes), non-linear models, California (CFS 2007). 212 Mining (except Oil and Gas) 285,150,949 65 311 Food Manufacturing 26,372,867 290 312 Beverage and Tobacco Product Manufacturing 35,594,221 70 313 Textile Mills 453,417 20 314 Textile Product Mills 1,797,942 30 315 Apparel Manufacturing 288,476 50 321 Wood Product Manufacturing 11,795,379 105 322 Paper Manufacturing 14,775,129 80 323 Printing and Related Support Activities 1,989,216 90 324 Petroleum and Coal Products Manufacturing 227,781,426 80 325 Chemical Manufacturing 10,766,630 165 326 Plastics and Rubber Products Manufacturing 4,012,883 140 327 Nonmetallic Mineral Product Manufacturing 89,408,739 155 332 Fabricated Metal Product Manufacturing 2,033,204 225 333 Machinery Manufacturing 416,752 105 334 Computer and Electronic Product 132,651 230 335 Electrical Equipment, Appliance, and Component Manufacturing 1,207,746 80 336 Transportation Equipment Manufacturing 2,584,437 95 337 Furniture and Related Product Manufacturing 1,625,375 100 339 Miscellaneous Manufacturing 215,948 115 423 Merchant Wholesalers, Durable Goods 5,019,491 1075 424 Merchant Wholesalers, Nondurable Goods 25,019,426 815 493 Warehousing and Storage 34,563,636 125 511 Publishing Industries (except Internet) 3,821,957 50 551 Management of Companies and Enterprises 26,140,670 95 CFS - California - Road Modes [pounds/year] NAICS Description a Obs.

Freight, Freight trip, and Service trip Generation Models 75 Log-Log Model Equation 69 expresses the calculation used to generate the models in Table 54. (69)FP Ei i= α × β Table 54. FP 3-digit NAICS (road modes), non-linear models, California (CFS 2007). 212 Mining (except Oil and Gas) 40,515,715 1.22 65 311 Food Manufacturing 1,124,369 1.29 290 312 Beverage and Tobacco Manufacturing 33,312 1.81 70 313 Textile Mills 16,569 1.19 20 314 Textile Product Mills 98,651 0.99 30 315 Apparel Manufacturing 962 1.91 50 321 Wood Product Manufacturing 323,906 1.67 105 322 Paper Manufacturing 219,471 1.35 80 323 Printing and Related Support Activities 5,748 1.53 90 324 Petroleum and Coal Products Manufacturing 451,123,557 0.74 80 325 Chemical Manufacturing 640,743 1.58 165 326 Plastics and Rubber Products Manufacturing 11,222 1.99 140 327 Nonmetallic Mineral Product Manufacturing 9,047,178,128 0.63 155 332 Fabricated Metal Product Manufacturing 13,624 1.46 225 333 Machinery Manufacturing 4,985 1.20 105 334 Computer and Electronic Product Manufacturing 3,611 0.99 230 335 Electrical Equipment, Appliance, and Component Manufacturing 4,857 1.42 80 336 Transportation Equipment Manufacturing 49,571 1.02 95 337 Furniture and Related Product Manufacturing 25,736 1.29 100 339 Miscellaneous Manufacturing 2,819 1.18 115 423 Merchant Wholesalers, Durable Goods 358,077 1.44 1075 424 Merchant Wholesalers, Nondurable Goods 9,979,572 1.10 815 493 Warehousing and Storage 50,400,999 0.29 125 511 Publishing Industries (except Internet) 7,553 1.32 50 551 Management of Companies and Enterprises 5.50E+20 5.06 95 CFS - California - Road Modes [pounds/year] DescriptionNAICS Obs.`* a

76 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Lin Model Equation 70 expresses the calculation used to generate the models in Table 55. = α × β , where is the exponential function ( ) (70)FP e e ei E xi Table 55. FP 3-digit NAICS (road modes), non-linear models, California (CFS 2007). 212 Mining (except Oil and Gas) 599,926,026 0.034 65 311 Food Manufacturing 166,760,319 0.006 290 312 Beverage and Tobacco Manufacturing 24,198,696 0.015 70 313 Textile Mills 574,277 0.010 20 314 Textile Product Mills 1,172,765 0.015 30 315 Apparel Manufacturing 536,007 0.016 50 321 Wood Product Manufacturing 44,811,236 0.025 105 322 Paper Manufacturing 20,237,464 0.014 80 323 Printing and Related Support Activities 158,547 0.027 90 324 Petroleum and Coal Products Manufacturing 1,761,324,633 0.004 80 325 Chemical Manufacturing 212,239,428 0.001 165 326 Plastics and Rubber Products Manufacturing 38,947,270 0.012 140 327 Nonmetallic Mineral Product Manufacturing 34,364,831,433 0.011 155 332 Fabricated Metal Product Manufacturing 660,247 0.023 225 333 Machinery Manufacturing 106,423 0.011 105 334 Computer and Electronic Product Manufacturing 111,189 0.003 230 335 Electrical Equipment, Appliance, and Component Manufacturing 220,703 0.016 80 336 Transportation Equipment Manufacturing 2,787,997 0.002 95 337 Furniture and Related Product Manufacturing 752,072 0.019 100 339 Miscellaneous Manufacturing 60,058 0.005 115 423 Merchant Wholesalers, Durable Goods 9,108,737 0.027 1075 424 Merchant Wholesalers, Nondurable Goods 107,541,102 0.018 815 493 Warehousing and Storage 74,475,722 0.006 125 511 Publishing Industries (except Internet) 146,922 0.009 50 551 Management of Companies and Enterprises 2.54E+50 0.030 95 CFS - California - Road Modes [pounds/year] Obs.NAICS Description ` a

Freight, Freight trip, and Service trip Generation Models 77 FP Models, Texas (CFS) FP (Pounds/Year) 2-Digit NAICS (All Modes), Linear Models Equation 71 expresses the calculation used to generate the models in Table 56. (71)FP Ei i= β 21 Mining 48,689,606 60 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 580,353 235 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 4,371,744 730 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 64,431 700 42 Wholesale Trade 757,778 1245 45 Sporting Goods, Hobby, Books & Music 37,277 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 1,329,914 85 51 Information 42,013 25 CFS - Texas - All Modes [pounds/year] NAICS Description a Obs. Table 56. FP 2-digit NAICS (all modes), linear models, Texas (CFS 2007).

78 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 3-Digit NAICS (All Modes), Linear Models Equation 72 expresses the calculation used to generate the models in Table 57. (72)FP Ei i= β 212 Mining (except Oil and Gas) 48,689,606 60 311 Food Manufacturing 429,910 165 312 Beverage and Tobacco Product Manufacturing 3,736,219 25 314 Textile Product Mills 65,915 15 315 Apparel Manufacturing 40,207 10 321 Wood Product Manufacturing 913,417 85 322 Paper Manufacturing 1,352,247 40 323 Printing and Reltaed Support Activities 168,462 65 324 Petroleum and Coal Products Manufacturing 23,145,410 60 325 Chemical Manufacturing 1,473,751 225 326 Plastics and Rubber Products Manufacturing 288,629 115 327 Nonmetallic Mineral Product Manufacturing 3,725,196 150 331 Primary Metal Manufacturing 973,844 55 332 Fabricated Metal Product Manufacturing 155,994 200 333 Machinery Manufacturing 93,585 130 334 Computer and Electronic Product Manufacturing 6,505 85 335 Electrical Equipment, Appliance, and Component Manufacturing 51,356 30 336 Transportation Equipment Manufacturing 48,289 60 337 Furniture and Related Product Manufacturing 98,524 75 339 Miscellaneous Manufacturing 37,210 65 423 Merchant Wholesalers, Durable Goods 409,823 730 424 Merchant Wholesalers, Nondurable Goods 1,080,614 510 454 Nonstore Retailers 37,277 50 493 Warehousing and Storage 1,329,914 85 511 Publishing Industries (except Internet) 42,013 25 CFS - Texas - All Modes [pounds/year] Obs.NAICS Description a Table 57. FP 3-digit NAICS (all modes), linear models, Texas (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 79 FP (Pounds/Year) 2-Digit NAICS (Road Modes), Linear Models Equation 73 expresses the calculation used to generate the models in Table 58. (73)FP Ei i= β 21 Mining 31,516,621 60 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 539,411 235 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 719,978 730 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 47,611 700 42 Wholesale Trade 588,205 1245 49 Postal Service, Couriers & Messengers, Warehousing & Storage 1,325,751 85 51 Information 41,393 25 Obs. CFS - Texas - Road Modes [pounds/year] NAICS Description a Table 58. FP 2-digit NAICS (road modes), linear models, Texas (CFS 2007).

80 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 3-Digit NAICS (Road Modes), Linear Models Equation 74 expresses the calculation used to generate the models in Table 59. (74)FP Ei i= β 212 Mining (except Oil and Gas) 31,516,621 60 311 Food Manufacturing 385,644 165 321 Wood Product Manufacturing 769,736 85 322 Paper Manufacturing 809,648 40 323 Printing and Related Support Activities 166,740 65 324 Petroleum and Coal Products Manufacturing 1,413,470 60 325 Chemical Manufacturing 298,897 225 326 Plastics and Rubber Products Manufacturing 265,060 115 327 Nonmetallic Mineral Product Manufacturing 3,459,746 150 331 Primary Metal Manufacturing 638,526 55 332 Fabricated Metal Product Manufacturing 152,537 200 333 Machinery Manufacturing 89,553 130 334 Computer and Electronic Product Manufacturing 6,456 85 335 Electrical Equipment, Appliance, and Component Manufacturing 50,557 30 336 Transportation Equipment Manufacturing 22,877 60 339 Miscellaneous Manufacturing 26,335 65 423 Merchant Wholesalers, Durable Goods 368,432 730 424 Merchant Wholesalers, Nondurable Goods 792,114 510 493 Warehousing and Storage 1,325,751 85 511 Publishing Industries (except Internet) 41,393 25 CFS - Texas - Road Modes [pounds/year] NAICS Description a Obs. Table 59. FP 3-digit NAICS (road modes), linear models, Texas (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 81 FP (Pounds/Year) 2-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 75 expresses the calculation used to generate the models in Table 60. , where is the natural logarithmic (75)FP Ln E Lni i ( )= β 21 Mining 522,087,613 60 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 28,930,812 235 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 103,692,655 730 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 5,554,549 700 42 Wholesale Trade 21,107,112 1245 45 Sporting Goods, Hobby, Books & Music 799,771 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 30,201,083 85 51 Information 1,273,006 25 55 Management of Companies and Enterprises 58,485,178 60 Obs. CFS - Texas - All Modes [pounds/year] aNAICS Description Table 60. FP 2-digit NAICS (all modes), non-linear models, Texas (CFS 2007). Log-Log Model Equation 76 expresses the calculation used to generate the models in Table 61. (76)FP Ei i= α × β 21 Mining 94,467,304 1.30 60 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 398,834 1.55 235 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 42,964,256 1.18 730 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 35,811 1.38 700 42 Wholesale Trade 10,847,010 1.17 1245 45 Sporting Goods, Hobby, Books & Music Stores 126,031 1.52 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 34,802,449 0.54 85 51 Information 9,978 1.19 25 55 Management of Companies and Enterprises 4.57E+18 5.22 60 CFS - Texas - All Modes [pounds/year] NAICS Description `* Obs.a Table 61. FP 2-digit NAICS (all modes), non-linear models, Texas (CFS 2007).

82 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Lin Model Equation 77 expresses the calculation used to generate the models in Table 62. ( )= α × β , where is the exponential function (77)FP e e ei E xi 21 Mining 922,158,839 0.055 60 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 173,997,212 0.007 235 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 1,130,395,413 0.010 730 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 9,958,536 0.003 700 42 Wholesale Trade 157,826,503 0.016 1245 45 Sporting Goods, Hobby, Books & Music Stores 3,067,530 0.027 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 83,965,253 0.008 85 51 Information 153,948 0.012 25 55 Management of Companies and Enterprises 1.042E+51 0.018 60 CFS - Texas - All Modes [pounds/year] NAICS Description `* a Obs. Table 62. FP 2-digit NAICS (all modes), non-linear models, Texas (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 83 FP (Pounds/Year) 3-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 78 expresses the calculation used to generate the models in Table 63. , where is the natural logarithmic (78)FP Ln E Lni i ( )= β 212 Mining (Except Oil and Gas) 522,087,613 60 311 Food Manufacturing 26,101,350 165 312 Beverage and Tobacco Manufacturing 96,413,378 25 314 Textile Product Mills 929,959 15 315 Apparel Manufacturing 1,067,738 10 321 Wood Product Manufacturing 16,340,824 85 322 Paper Manufacturing 31,730,237 40 323 Printing and Related Support Activities 1,887,651 65 324 Petroleum and Coal Products Manufacturing 657,510,948 60 325 Chemical Manufacturing 75,026,632 225 326 Plastics and Rubber Products Manufacturing 6,805,859 115 327 Nonmetallic Mineral Product Manufacturing 114,875,348 150 331 Primary Metal Manufacturing 39,519,914 55 332 Fabricated Metal Product Manufacturing 4,397,262 200 333 Machinery Manufacturing 2,889,300 130 334 Computer and Electronic Product Manufacturing 707,755 85 335 Electrical Equipment, Appliance, and Component Manufacturing 2,389,584 30 336 Transportation Equipment Manufacturing 3,672,614 60 337 Furniture and Related Product Manufacturing 1,939,961 75 339 Miscellaneous Manufacturing 983,396 65 423 Merchant Wholesalers, Durable Goods 9,157,917 730 424 Merchant Wholesalers, Nondurable Goods 39,588,964 510 454 Nonstore Retailers 799,771 50 493 Warehousing and Storage 30,201,083 85 511 Publishing Industries (except Internet) 1,273,006 25 551 Management of Companies and Enterprises 58,485,178 60 Obs. CFS - Texas - All Modes [pounds/year] NAICS Description a Table 63. FP 3-digit NAICS (all modes), non-linear models, Texas (CFS 2007).

84 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Log Model Equation 79 expresses the calculation used to generate the models in Table 64. (79)FP Ei i= α × β 212 Mining (except Oil and Gas) 94,467,304 1.30 60 311 Food Manufacturing 449,285 1.35 165 312 Beverage and Tobacco Product Manufacturing 50,417 2.09 25 314 Textile Product Mills 38,973 0.97 15 315 Apparel Manufacturing 8,920 1.43 10 321 Wood Product Manufacturing 20,665 1.99 85 322 Paper Manufacturing 49,966 1.77 40 323 Printing and Related Support Activities 8,701 1.27 65 324 Petroleum and Coal Products Manufacturing 23,508,399 1.46 60 325 Chemical Manufacturing 4,539,987 1.26 225 326 Plastics and Rubber Products Manufacturing 29,823 1.56 115 327 Nonmetallic Mineral Product Manufacturing 1,292,730,909 0.71 150 331 Primary Metal Manufacturing 4,712 2.08 55 332 Fabricated Metal Product Manufacturing 49,577 1.48 200 333 Machinery Manufacturing 6,993 1.50 130 334 Computer and Electronic Product Manufacturing 2,336 1.30 85 335 Electrical Equipment, Appliance, and Component Manufacturing 107,288 1.01 30 336 Transportation Equipment Manufacturing 26,142 1.03 60 337 Furniture and Related Product Manufacturing 13,442 1.37 75 339 Miscellaneous Manufacturing 14,616 1.11 65 423 Merchant Wholesalers, Durable Goods 2,584,289 1.24 730 424 Merchant Wholesalers, Nondurable Goods 27,881,018 1.16 510 454 Nonstore Retailers 126,031 1.52 50 493 Warehousing and Storage 34,802,449 0.54 85 511 Publishing Industries (except Internet) 9,978 1.19 25 551 Management of Companies and Enterprises 4.57E+18 5.22 60 CFS - Texas - All Modes [pounds/year] Obs.NAICS Description `* a Table 64. FP 3-digit NAICS (all modes), non-linear models, Texas (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 85 Log-Lin Model Equation 80 expresses the calculation used to generate the models in Table 65. ( )= α × β , where is the exponential function (80)FP e e ei E xi 212 Mining (except Oil and Gas) 922,158,839 0.055 60 311 Food Manufacturing 91,693,916 0.005 165 312 Beverage and Tobacco Product Manufacturing 284,744,377 0.011 25 314 Textile Product Mills 183,109 0.022 15 315 Apparel Manufacturing 490,937 0.017 10 321 Wood Product Manufacturing 3,351,094 0.032 85 322 Paper Manufacturing 51,205,633 0.012 40 323 Printing and Related Support Activities 89,898 0.027 65 324 Petroleum and Coal Products Manufacturing 718,145,079 0.010 60 325 Chemical Manufacturing 289,556,202 0.007 225 326 Plastics and Rubber Products Manufacturing 11,321,834 0.010 115 327 Nonmetallic Mineral Product Manufacturing 6,123,672,708 0.011 150 331 Primary Metal Manufacturing 72,112,874 0.012 55 332 Fabricated Metal Product Manufacturing 3,734,653 0.016 200 333 Machinery Manufacturing 2,418,955 0.010 130 334 Computer and Electronic Product Manufacturing 730,574 0.001 85 335 Electrical Equipment, Appliance, and Component Manufacturing 1,712,671 0.010 30 336 Transportation Equipment Manufacturing 996,716 0.003 60 337 Furniture and Related Product Manufacturing 464,811 0.019 75 339 Miscellaneous Manufacturing 155,461 0.016 65 423 Merchant Wholesalers, Durable Goods 48,778,394 0.016 730 424 Merchant Wholesalers, Nondurable Goods 393,807,458 0.014 510 454 Nonstore Retailers 3,067,530 0.027 50 493 Warehousing and Storage 83,965,253 0.008 85 511 Publishing Industries (except Internet) 153,948 0.012 25 551 Management of Companies and Enterprises 1.042E+51 0.018 60 CFS - Texas - All Modes [pounds/year] Obs.NAICS Description `* a Table 65. FP 3-digit NAICS (all modes), non-linear models, Texas (CFS 2007).

86 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 2-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 81 expresses the calculation used to generate the models in Table 66. , where is the natural logarithmic (81)FP Ln E Lni i ( )= β Table 66. FP 2-digit NAICS (road modes), non-linear models, Texas (CFS 2007). 21 Mining 359,883,900 60 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 26,970,714 235 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 40,781,501 730 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 4,360,175 700 42 Wholesale Trade 14,769,009 1245 49 Postal Service, Couriers & Messengers, Warehousing & Storages 30,027,564 85 51 Information 1,218,385 25 55 Management of Companies and Enterprises 58,169,092 60 Obs. CFS - Texas - Road Modes [pounds/year] NAICS Description a Log-Log Model Equation 82 expresses the calculation used to generate the models in Table 67. (82)FP Ei i= α × β Table 67. FP 2-digit NAICS (road modes), non-linear models, Texas (CFS 2007). 21 Mining 102,785,401 1.16 60 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 402,732 1.55 235 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 45,002,445 1.12 730 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 37,193 1.36 700 42 Wholesale Trade 9,339,931 1.13 1245 49 Postal Service, Couriers & Messengers, Warehousing & Storage 23,011,651 0.68 85 51 Information 3,767 1.41 25 55 Management of Companies and Enterprises 2.19E+18 5.17 60 Obs. CFS - Texas - Road Modes [pounds/year] NAICS Description `* a

Freight, Freight trip, and Service trip Generation Models 87 Log-Lin Model Equation 83 expresses the calculation used to generate the models in Table 68. , where is the exponential function (83)FP e e ei E xi ( )= α × β Table 68. FP 2-digit NAICS (road modes), non-linear models, Texas (CFS 2007). 21 Mining 699,546,594 0.053 60 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 176,110,888 0.007 235 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 1,028,883,496 0.008 730 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 9,319,545 0.003 700 42 Wholesale Trade 118,079,027 0.015 1245 49 Postal Service, Couriers & Messengers, Warehousing & Storage 78,873,919 0.008 85 51 Information 164,520 0.011 25 55 Management of Companies and Enterprises 1.23E+50 0.018 60 CFS - Texas - Road Modes [pounds/year] NAICS Description `* Obs.a

88 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 3-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 84 expresses the calculation used to generate the models in Table 69. , where is the natural logarithmic (84)FP Ln E Lni i ( )= β Table 69. FP 3-digit NAICS (road modes), non-linear models, Texas (CFS 2007). 212 Mining (Except Oil and Gas) 359,883,900 60 311 Food Manufacturing 23,451,751 165 321 Wood Product Manufacturing 13,693,827 85 322 Paper Manufacturing 22,038,050 40 323 Printing and Related Support Activities 1,859,197 65 324 Petroleum and Coal Products Manufacturing 105,971,020 60 325 Chemical Manufacturing 16,667,414 225 326 Plastics and Rubber Products Manufacturing 6,293,540 115 327 Nonmetallic Mineral Product Manufacturing 108,866,091 150 331 Primary Metal Manufacturing 26,114,569 55 332 Fabricated Metal Product Manufacturing 4,288,540 200 333 Machinery Manufacturing 2,771,366 130 334 Computer and Electronic Product Manufacturing 698,155 85 335 Electrical Equipment, Appliance, and Component Manufacturing 2,346,465 30 336 Transportation Equipment Manufacturing 2,266,513 60 339 Miscellaneous Manufacturing 761,226 65 423 Merchant Wholesalers, Durable Goods 8,310,361 730 424 Merchant Wholesalers, Nondurable Goods 24,758,619 510 493 Warehousing and Storage 30,027,564 85 511 Publishing Industries (except Internet) 1,218,385 25 551 Management of Companies and Enterprises 58,169,092 60 CFS - Texas - Road Modes [pounds/year] Obs.NAICS Description a

Freight, Freight trip, and Service trip Generation Models 89 `* a 212 Mining (except Oil and Gas) 102,785,401 1.16 60 311 Food Manufacturing 447,775 1.34 165 321 Wood Product Manufacturing 21,275 1.96 85 322 Paper Manufacturing 45,363 1.77 40 323 Printing and Related Support Activities 13,657 1.24 65 324 Petroleum and Coal Products Manufacturing 39,325,164 1.19 60 325 Chemical Manufacturing 2,746,979 1.19 225 326 Plastics and Rubber Products Manufacturing 20,849 1.59 115 327 Nonmetallic Mineral Product Manufacturing 1,342,484,521 0.69 150 331 Primary Metal Manufacturing 4,830 2.01 55 332 Fabricated Metal Product Manufacturing 51,956 1.46 200 333 Machinery Manufacturing 6,999 1.49 130 334 Computer and Electronic Product Manufacturing 2,504 1.29 85 335 Electrical Equipment, Appliance, and Component Manufacturing 112,819 0.99 30 336 Transportation Equipment Manufacturing 29,914 1.00 60 339 Miscellaneous Manufacturing 14,737 1.10 65 423 Merchant Wholesalers, Durable Goods 2,588,922 1.22 730 424 Merchant Wholesalers, Nondurable Goods 18,856,872 1.08 510 493 Warehousing and Storage 23,011,651 0.68 85 511 Publishing Industries (except Internet) 3,767 1.41 25 551 Management of Companies and Enterprises 2.19E+18 5.17 60 CFS - Texas - Road Modes [pounds/year] NAICS Description Obs. Table 70. FP 3-digit NAICS (road modes), non-linear models, Texas (CFS 2007). Log-Log Model Equation 85 expresses the calculation used to generate the models in Table 70. (85)FP Ei i= α × β

90 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Lin Model Equation 86 expresses the calculation used to generate the models in Table 71. = α × β , where is the exponential function ( ) (86)FP e e ei E xi 212 Mining (except Oil and Gas) 699,546,594 0.053 60 311 Food Manufacturing 86,385,156 0.005 165 321 Wood Product Manufacturing 3,233,715 0.031 85 322 Paper Manufacturing 50,918,448 0.011 40 323 Printing and Related Support Activities 110,290 0.028 65 324 Petroleum and Coal Products Manufacturing 698,807,153 0.006 60 325 Chemical Manufacturing 131,469,881 0.005 225 326 Plastics and Rubber Products Manufacturing 8,618,854 0.010 115 327 Nonmetallic Mineral Product Manufacturing 6,055,357,455 0.010 150 331 Primary Metal Manufacturing 53,784,754 0.011 55 332 Fabricated Metal Product Manufacturing 3,603,157 0.016 200 333 Machinery Manufacturing 2,259,754 0.010 130 334 Computer and Electronic Product Manufacturing 653,775 0.001 85 335 Electrical Equipment, Appliance, and Component Manufacturing 1,682,920 0.010 30 336 Transportation Equipment Manufacturing 1,017,399 0.003 60 339 Miscellaneous Manufacturing 157,543 0.016 65 423 Merchant Wholesalers, Durable Goods 46,085,010 0.015 730 424 Merchant Wholesalers, Nondurable Goods 205,830,914 0.014 510 493 Warehousing and Storage 78,873,919 0.008 85 511 Publishing Industries (except Internet) 164,520 0.011 25 551 Management of Companies and Enterprises 1.23E+50 0.018 60 CFS - Texas - Road Modes [pounds/year] NAICS Description `* a Obs. Table 71. FP 3-digit NAICS (road modes), non-linear models, Texas (CFS 2007). FP Models, Wyoming (CFS) FP (Pounds/Year) 2-Digit NAICS (All Modes), Linear Models Equation 87 expresses the calculation used to generate the models in Table 72. (87)FP Ei i= β 21 Mining 153,230,056 15 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 8,166,167 50 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 50,544 30 42 Wholesale Trade 428,427 80 Obs. CFS - Wyoming - All Modes [pounds/year] NAICS Description a Table 72. FP 2-digit NAICS (all modes), linear models, Wyoming (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 91 FP (Pounds/Year) 3-Digit NAICS (All Modes), Linear Models Equation 88 expresses the calculation used to generate the models in Table 73. (88)FP Ei i= β 212 Mining (except Oil and Gas) 153,230,056 15 332 Fabricated Metal Product Manufacturing 129,651 10 423 Merchant Wholesalers, Durable Goods 206,047 40 424 Merchant Wholesalers, Nondurable Goods 660,248 35 Obs. CFS - Wyoming - All Modes [pounds/year] NAICS Description a Table 73. FP 3-digit NAICS (all modes), linear models, Wyoming (CFS 2007). 21 Mining 1,289,196 15 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 3,329,018 50 42 Wholesale Trade 409,019 80 CFS - Wyoming - Road Modes [pounds/year] NAICS Description a Obs. Table 74. FP 2-digit NAICS (road modes), linear models, Wyoming (CFS 2007). 212 Mining (except Oil and Gas) 1,289,196 15 423 Merchant Wholesalers, Durable Goods 173,152 40 Obs. CFS - Wyoming - Road Modes [pounds/year] NAICS Description a Table 75. FP 3-digit NAICS (road modes), linear models, Wyoming (CFS 2007). FP (Pounds/Year) 2-Digit NAICS (Road Modes), Linear Models Equation 89 expresses the calculation used to generate the models in Table 74. (89)FP Ei i= β FP (Pounds/Year) 3-Digit NAICS (Road Modes), Linear Models Equation 90 expresses the calculation used to generate the models in Table 75. (90)FP Ei i= β

92 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 2-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 91 expresses the calculation used to generate the models in Table 76. , where is the natural logarithmic (91)FP Ln E Lni i ( )= β 21 Mining 5,104,333,216 15 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 101,518,191 50 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 1,003,926 30 42 Wholesale Trade 2,882,665 80 Obs. CFS - Wyoming - All Modes [pounds/year] NAICS Description a Table 76. FP 2-digit NAICS (all modes), non-linear models, Wyoming (CFS 2007). 21 Mining 740,830,598 1.53 15 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 254,462,711 1.10 50 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 60,010 1.34 30 42 Wholesale Trade 5,339,064,756 6.58 80 CFS - Wyoming - All Modes [pounds/year] NAICS Description `* a Obs. Table 77. FP 2-digit NAICS (all modes), non-linear models, Wyoming (CFS 2007). Log-Log Model Equation 92 expresses the calculation used to generate the models in Table 77. (92)FP Ei i= α × β

Freight, Freight trip, and Service trip Generation Models 93 Log-Lin Model Equation 93 expresses the calculation used to generate the models in Table 78. ( )= α × β , where is the exponential function (93)FP e e ei E xi 21 Mining 148,312,541,348 0.02 15 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 1,205,000,027 0.04 50 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 848,541 0.03 30 42 Wholesale Trade 18,949,698 0.06 80 CFS - Wyoming - All Modes [pounds/year] NAICS Description `* a Obs. Table 78. FP 2-digit NAICS (all modes), non-linear models, Wyoming (CFS 2007). FP (Pounds/Year) 3-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 94 expresses the calculation used to generate the models in Table 79. , where is the natural logarithmic (94)FP Ln E Lni i ( )= β 212 Mining (Except Oil and Gas) 5,104,333,216 15 332 Fabricated Metal Product Manufacturing 2,158,712 10 423 Merchant Wholesalers, Durable Goods 1,404,805 40 424 Merchant Wholesalers, Nondurable Goods 4,678,188 35 Obs. CFS - Wyoming - All Modes [pounds/year] NAICS Description a Table 79. FP 3-digit NAICS (all modes), non-linear models, Wyoming (CFS 2007).

94 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Log Model Equation 95 expresses the calculation used to generate the models in Table 80. (95)FP Ei i= α × β 212 Mining (except Oil and Gas) 740,830,598 1.53 15 332 Fabricated Metal Product Manufacturing 620,232 0.88 10 423 Merchant Wholesalers, Durable Goods 5,413,965 6.08 40 424 Merchant Wholesalers, Nondurable Goods 5.64E+12 7.19 35 CFS - Wyoming - All Modes [pounds/year] NAICS Obs.Description `* a Table 80. FP 3-digit NAICS (all modes), non-linear models, Wyoming (CFS 2007). Log-Lin Model Equation 96 expresses the calculation used to generate the models in Table 81. ( )= α × β , where is the exponential function (96)FP e e ei E xi 212 Mining (except Oil and Gas) 148,312,541,348 0.02 15 332 Fabricated Metal Product Manufacturing 1,794,685 0.03 10 423 Merchant Wholesalers, Durable Goods 6,281,929 0.08 40 424 Merchant Wholesalers, Nondurable Goods 1.50E+29 0.83 35 CFS - Wyoming - All Modes [pounds/year] NAICS Obs.Description `* a Table 81. FP 3-digit NAICS (all modes), non-linear models, Wyoming (CFS 2007). 21 Mining 94,326,921 15 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 51,872,206 50 42 Wholesale Trade 2,765,512 80 CFS - Wyoming - Road Modes [pounds/year] NAICS Description a Obs. Table 82. FP 2-digit NAICS (road modes), non-linear models, Wyoming (CFS 2007). FP (Pounds/Year) 2-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 97 expresses the calculation used to generate the models in Table 82. , where is the natural logarithmic (97)FP Ln E Lni i ( )= β

Freight, Freight trip, and Service trip Generation Models 95 Log-Log Model Equation 98 expresses the calculation used to generate the models in Table 83. (98)FP Ei i= α × β Table 83. FP 2-digit NAICS (road modes), non-linear models, Wyoming (CFS 2007). 21 Mining 96,777,091 0.360 15 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 262,026,868 1.02 50 42 Wholesale Trade 6,745,053,865 6.50 80 CFS - Wyoming - Road Modes [pounds/year] NAICS a Obs.Description `* Table 84. FP 2-digit NAICS (road modes), non-linear models, Wyoming (CFS 2007). 21 Mining 174,342,140 0.004 15 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 1,250,222,485 0.032 50 42 Wholesale Trade 8.77E+22 0.789 80 CFS - Wyoming - Road Modes [pounds/year] NAICS Description `* a Obs. Log-Lin Model Equation 99 expresses the calculation used to generate the models in Table 84. ( )= α × β , where is the exponential function (99)FP e e ei E xi FP (Pounds/Year) 3-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 100 expresses the calculation used to generate the models in Table 85. , where is the natural logarithmic (100)FP Ln E Lni i ( )= β Table 85. FP 3-digit NAICS (road modes), non-linear models, Wyoming (CFS 2007). 212 Mining (Except Oil and Gas) 94,326,921 15 423 Merchant Wholesalers, Durable Goods 1,255,856 40 Obs. CFS - Wyoming - Road Modes [pounds/year] NAICS Description a

96 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Log Model Equation 101 expresses the calculation used to generate the models in Table 86. (101)FP Ei i= α × β Table 86. FP 3-digit NAICS (road modes), non-linear models, Wyoming (CFS 2007). 212 Mining (except Oil and Gas) 96,777,091 0.36 15 423 Merchant Wholesalers, Durable Goods 6,967,018 5.91 40 Obs. CFS - Wyoming - Road Modes [pounds/year] NAICS Description `* a Table 87. FP 3-digit NAICS (road modes), non-linear models, Wyoming (CFS 2007). 212 Mining (except Oil and Gas) 174,342,140 0.004 15 423 Merchant Wholesalers, Durable Goods 6.34E+17 0.753 40 Obs. CFS - Wyoming - Road Modes [pounds/year] NAICS Description `* a Table 88. FP 2-digit NAICS (all modes), linear models, Ohio (CFS 2007). 21 Mining 37,433,995 85 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 960,538 155 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 733,006 690 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 287,457 835 42 Wholesale Trade 1,204,735 935 45 Sporting Goods, Hobby, Books & Music Stores 21,156 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 1,046,450 70 51 Information 79,478 15 55 Management of Companies and Enterprises 446,118 55 NAICS CFS - Ohio - All Modes [pounds/year] Description a Obs. Log-Lin Model Equation 102 expresses the calculation used to generate the models in Table 87. ( )= α × β , where is the exponential function (102)FP e e ei E xi FP Models, Ohio (CFS) FP (Pounds/Year) 2-Digit NAICS (All Modes), Linear Models Equation 103 expresses the calculation used to generate the models in Table 88. (103)FP Ei i= β

Freight, Freight trip, and Service trip Generation Models 97 FP (Pounds/Year) 3-Digit NAICS (All Modes), Linear Models Equation 104 expresses the calculation used to generate the models in Table 89. (104)FP Ei i= β Table 89. FP 3-digit NAICS (all modes), linear models, Ohio (CFS 2007). 212 Mining (except Oil and Gas) 37,433,995 85 311 Food Manufacturing 746,513 115 312 Beverage and Tobacco Product Manufacturing 4,050,008 20 321 Wood Product Manufacturing 264,828 80 322 Paper Manufacturing 523,207 80 323 Printing and Related Support Activities 137,411 55 324 Petroleum and Coal Products Manufacturing 15,587,655 30 325 Chemical Manufacturing 741,631 155 326 Plastics and Rubber Products Manufacturing 150,044 165 327 Nonmetallic Mineral Product Manufacturing 680,959 120 331 Primary Metal Manufacturing 1,511,607 95 332 Fabricated Metal Product Manufacturing 107,167 250 333 Machinery Manufacturing 249,092 140 334 Computer and Electronic Product Manufacturing 10,081 45 335 Electrical Equipment, Appliance, and Component Manufacturing 160,615 45 336 Transportation Equipment Manufacturing 218,796 160 337 Furniture and Related Product Manufacturing 57,970 40 339 Miscellaneous Manufacturing 49,377 60 423 Merchant Wholesalers, Durable Goods 840,489 570 424 Merchant Wholesalers, Nondurable Goods 1,657,872 360 454 Nonstore Retailers 21,156 50 493 Warehousing and Storage 1,046,450 70 511 Publishing Industries (except Internet) 79,478 15 551 Management of Companies and Enterprises 446,118 55 CFS - Ohio - All Modes [pounds/year] NAICS Description a Obs.

98 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 2-Digit NAICS (Road Modes), Linear Models Equation 105 expresses the calculation used to generate the models in Table 90. (105)FP Ei i= β 21 Mining 17,710,145 85 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 888,331 155 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 423,773 690 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 160,857 835 42 Wholesale Trade 855,584 935 45 Sporting Goods, Hobby, Books & Music Stores 21,053 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 1,040,823 70 CFS - Ohio - Road Modes [pounds/year] NAICS Description a Obs. Table 90. FP 2-digit NAICS (road modes), linear models, Ohio (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 99 FP (Pounds/Year) 3-Digit NAICS (Road Modes), Linear Models Equation 106 expresses the calculation used to generate the models in Table 91. (106)FP Ei i= β 212 Mining (except Oil and Gas) 17,710,145 85 311 Food Manufacturing 669,639 115 321 Wood Product Manufacturing 250,766 80 322 Paper Manufacturing 514,322 80 323 Printing and Related Support Activities 136,961 55 324 Petroleum and Coal Products Manufacturing 2,759,436 30 325 Chemical Manufacturing 586,343 155 326 Plastics and Rubber Products Manufacturing 147,403 165 327 Nonmetallic Mineral Product Manufacturing 609,653 120 331 Primary Metal Manufacturing 645,007 95 332 Fabricated Metal Product Manufacturing 90,393 250 333 Machinery Manufacturing 219,023 140 334 Computer and Electronic Product Manufacturing 8,751 45 336 Transportation Equipment Manufacturing 119,734 160 339 Miscellaneous Manufacturing 47,467 60 423 Merchant Wholesalers, Durable Goods 405,279 570 424 Merchant Wholesalers, Nondurable Goods 1,415,782 360 454 Nonstore Retailers 21,053 50 493 Warehousing and Storage 1,040,823 70 551 Management of Companies and Enterprises 445,052 55 CFS - Ohio - Road Modes [pounds/year] NAICS Description a Obs. Table 91. FP 3-digit NAICS (road modes), linear models, Ohio (CFS 2007).

100 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 2-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 107 expresses the calculation used to generate the models in Table 92. , where is the natural logarithmic (107)FP Ln E Lni i ( )= β Table 92. FP 2-digit NAICS (all modes), non-linear models, Ohio (CFS 2007). 21 Mining 437,239,086 85 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 45,968,090 155 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 26,087,617 690 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 12,291,675 835 42 Wholesale Trade 40,977,856 935 45 Sporting Goods, Hobby, Books & Music Stores 1,991,229 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 37,221,805 70 51 Information 3,781,415 15 55 Management of Companies and Enterprises 28,878,334 55 CFS - Ohio - All Modes [pounds/year] NAICS Description a Obs. Log-Log Model Equation 108 expresses the calculation used to generate the models in Table 93. (108)FP Ei i= α × β Table 93. FP 2-digit NAICS (all modes), non-linear models, Ohio (CFS 2007). 21 Mining 114,459,571 1.15 85 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 2,383,452 1.27 155 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 11,209,680 1.07 690 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 47,729 1.38 835 42 Wholesale Trade 17,285,209 1.10 935 45 Sporting Goods, Hobby, Books & Music Stores 1.40E+14 5.33 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 3.10E+21 4.95 70 51 Information 73,721 1.57 15 55 Management of Companies and Enterprises 2.71E+18 4.65 55 CFS - Ohio - All Modes [pounds/year] NAICS Description Obs.`* a

Freight, Freight trip, and Service trip Generation Models 101 Log-Lin Model Equation 109 expresses the calculation used to generate the models in Table 94. = α × β , where is the exponential function ( ) (109)FP e e ei E xi 21 Mining 1,056,642,075 0.029 85 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 221,718,215 0.008 155 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 251,033,410 0.011 690 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 12,560,516 0.005 835 42 Wholesale Trade 205,704,435 0.021 935 45 Sporting Goods, Hobby, Books & Music Stores 9,759,193 0.003 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 70,547,893 0.006 70 51 Information 14,633,400 0.006 15 55 Management of Companies and Enterprises 7.61E+50 0.033 55 CFS - Ohio - All Modes [pounds/year] NAICS Description `* a Obs. Table 94. FP 2-digit NAICS (all modes), non-linear models, Ohio (CFS 2007).

102 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 3-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 110 expresses the calculation used to generate the models in Table 95. , where is the natural logarithmic (110)FP Ln E Lni i ( )= β 212 Mining (Except Oil and Gas) 437,239,086 85 311 Food Manufacturing 47,359,757 115 312 Beverage and Tobacco Manufacturing 75,432,014 20 321 Wood Product Manufacturing 4,369,943 80 322 Paper Manufacturing 16,770,038 80 323 Printing and Related Support Activities 2,510,261 55 324 Petroleum and Coal Products Manufacturing 214,026,130 30 325 Chemical Manufacturing 29,741,427 155 326 Plastics and Rubber Products Manufacturing 4,743,365 165 327 Nonmetallic Mineral Product Manufacturing 32,051,613 120 331 Primary Metal Manufacturing 52,192,746 95 332 Fabricated Metal Product Manufacturing 7,404,703 250 333 Machinery Manufacturing 4,185,654 140 334 Computer and Electronic Product Manufacturing 447,342 45 335 Electrical Equipment, Appliance, and Component Manufacturing 8,397,457 45 336 Transportation Equipment Manufacturing 14,917,454 160 337 Furniture and Related Product Manufacturing 3,617,000 40 339 Miscellaneous Manufacturing 1,059,820 60 423 Merchant Wholesalers, Durable Goods 38,025,405 570 424 Merchant Wholesalers, Nondurable Goods 45,701,387 360 454 Nonstore Retailers 1,991,229 50 493 Warehousing and Storage 37,221,805 70 511 Publishing Industries (except Internet) 3,781,415 15 551 Management of Companies and Enterprises 28,878,334 55 CFS - Ohio - All Modes [pounds/year] NAICS Description a Obs. Table 95. FP 3-digit NAICS (all modes), non-linear models, Ohio (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 103 Log-Log Model Equation 111 expresses the calculation used to generate the models in Table 96. (111)FP Ei i= α × β 212 Mining (Except Oil and Gas) 114,459,571 1.15 85 311 Food Manufacturing 1,344,421 1.33 115 312 Beverage and Tobacco Manufacturing 951,233 1.62 20 321 Wood Product Manufacturing 257,042 1.28 80 322 Paper Manufacturing 59,846 1.51 80 323 Printing and Related Support Activities 4,427 1.54 55 324 Petroleum and Coal Products Manufacturing 9.75E+27 7.57 30 325 Chemical Manufacturing 3,275,582 1.18 155 326 Plastics and Rubber Products Manufacturing 37,493 1.49 165 327 Nonmetallic Mineral Product Manufacturing 2,837,260 1.61 120 331 Primary Metal Manufacturing 56,033 1.59 95 332 Fabricated Metal Product Manufacturing 56,212 1.40 250 333 Machinery Manufacturing 11,991 1.27 140 334 Computer and Electronic Product Manufacturing 8,033 0.98 45 335 Electrical Equipment, Appliance, and Component Manufacturing 34,244 1.15 45 336 Transportation Equipment Manufacturing 32,336 1.35 160 337 Furniture and Related Product Manufacturing 172,678 0.78 40 339 Miscellaneous Manufacturing 2,991 1.83 60 423 Merchant Wholesalers, Durable Goods 1,202,986 1.33 570 424 Merchant Wholesalers, Nondurable Goods 148,557,762 0.68 360 454 Nonstore Retailers 1.40E+14 5.33 50 493 Warehousing and Storage 3.10E+21 4.95 70 511 Publishing Industries (except Internet) 73,721 1.57 15 551 Management of Companies and Enterprises 2.71E+18 4.65 55 CFS - Ohio - All Modes [pounds/year] NAICS Description `* a Obs. Table 96. FP 3-digit NAICS (all modes), non-linear models, Ohio (CFS 2007).

104 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Lin Model Equation 112 expresses the calculation used to generate the models in Table 97. ( )= α × β , where is the exponential function (112)FP e e ei E xi 212 Mining (Except Oil and Gas) 1,056,642,075 0.029 85 311 Food Manufacturing 322,047,497 0.006 115 312 Beverage and Tobacco Manufacturing 68,110,697 0.016 20 321 Wood Product Manufacturing 3,572,284 0.041 80 322 Paper Manufacturing 18,104,272 0.012 80 323 Printing and Related Support Activities 392,048 0.015 55 324 Petroleum and Coal Products Manufacturing 3.25E+68 0.124 30 325 Chemical Manufacturing 229,922,408 0.009 155 326 Plastics and Rubber Products Manufacturing 13,017,950 0.011 165 327 Nonmetallic Mineral Product Manufacturing 521,723,610 0.012 120 331 Primary Metal Manufacturing 49,660,989 0.007 95 332 Fabricated Metal Product Manufacturing 10,897,324 0.006 250 333 Machinery Manufacturing 1,102,321 0.007 140 334 Computer and Electronic Product Manufacturing 194,139 0.007 45 335 Electrical Equipment, Appliance, and Component Manufacturing 4,334,602 0.003 45 336 Transportation Equipment Manufacturing 16,494,171 0.003 160 337 Furniture and Related Product Manufacturing 1,171,394 0.003 40 339 Miscellaneous Manufacturing 961,311 0.024 60 423 Merchant Wholesalers, Durable Goods 28,027,892 0.027 570 424 Merchant Wholesalers, Nondurable Goods 596,683,597 0.013 360 454 Nonstore Retailers 9,759,193 0.003 50 493 Warehousing and Storage 70,547,893 0.006 70 511 Publishing Industries (except Internet) 14,633,400 0.006 15 551 Management of Companies and Enterprises 7.61E+50 0.033 55 CFS - Ohio - All Modes [pounds/year] NAICS Description `* a Obs. Table 97. FP 3-digit NAICS (all modes), non-linear models, Ohio (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 105 FP (Pounds/Year) 2-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 113 expresses the calculation used to generate the models in Table 98. , where is the natural logarithmic (113)FP Ln E Lni i ( )= β 21 Mining 334,763,266 85 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 38,278,592 155 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 19,214,095 690 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 7,957,992 835 42 Wholesale Trade 16,870,788 935 45 Sporting Goods, Hobby, Books & Music Stores 1,977,430 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 36,788,653 70 55 Management of Companies and Enterprises 28,618,067.8 55 CFS - Ohio - Road Modes [pounds/year] NAICS Description a Obs. Table 98. FP 2-digit NAICS (road modes), non-linear models, Ohio (CFS 2007). Log-Log Model Equation 114 expresses the calculation used to generate the models in Table 99. (114)FP Ei i= α × β 21 Mining 99,246,911 1.11 85 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 2,388,019 1.27 155 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 11,178,918 1.04 690 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 50,631 1.37 835 42 Wholesale Trade 8,881,110 1.09 935 45 Sporting Goods, Hobby, Books & Music Stores 1.48E+14 5.32 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 3.21E+21 4.95 70 55 Management of Companies and Enterprises 3.18E+18 4.62 55 CFS - Ohio - Road Modes [pounds/year] NAICS Description `* a Obs. Table 99. FP 2-digit NAICS (road modes), non-linear models, Ohio (CFS 2007).

106 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Lin Model Equation 115 expresses the calculation used to generate the models in Table 100. ( )= α × β , where is the exponential function (115)FP e e ei E xi 21 Mining 920,429,626 0.025 85 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 208,632,582 0.008 155 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 215,648,109 0.010 690 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 12,695,153 0.005 835 42 Wholesale Trade 98,117,414 0.022 935 45 Sporting Goods, Hobby, Books & Music Stores 9,666,491 0.003 50 49 Postal Service, Couriers & Messengers, Warehousing & Storage 70,904,907 0.006 70 55 Management of Companies and Enterprises 3.76E+50 0.033 55 CFS - Ohio - Road Modes [pounds/year] NAICS Description `* Obs.a Table 100. FP 2-digit NAICS (road modes), non-linear models, Ohio (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 107 FP (Pounds/Year) 3-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 116 expresses the calculation used to generate the models in Table 101. , where is the natural logarithmic (116)FP Ln E Lni i ( )= β 212 Mining (Except Oil and Gas) 334,763,266 85 311 Food Manufacturing 37,033,322 115 321 Wood Product Manufacturing 4,158,012 80 322 Paper Manufacturing 16,435,129 80 323 Printing and Related Support Activities 2,498,985 55 324 Petroleum and Coal Products Manufacturing 115,068,182 30 325 Chemical Manufacturing 21,863,075 155 326 Plastics and Rubber Products Manufacturing 4,626,915 165 327 Nonmetallic Mineral Product Manufacturing 29,417,743 120 331 Primary Metal Manufacturing 25,651,462 95 332 Fabricated Metal Product Manufacturing 6,356,113 250 333 Machinery Manufacturing 3,747,734 140 334 Computer and Electronic Product Manufacturing 409,188 45 336 Transportation Equipment Manufacturing 10,126,744 160 339 Miscellaneous Manufacturing 991,311 60 423 Merchant Wholesalers, Durable Goods 6,943,331 570 424 Merchant Wholesalers, Nondurable Goods 32,753,402 360 454 Nonstore Retailers 1,977,430 50 493 Warehousing and Storage 36,788,653 70 551 Management of Companies and Enterprises 28,618,068 55 CFS - Ohio - Road Modes [pounds/year] NAICS Description a Obs. Table 101. FP 3-digit NAICS (road modes), non-linear models, Ohio (CFS 2007).

108 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Log Model Equation 117 expresses the calculation used to generate the models in Table 102. (117)FP Ei i= α × β 212 Mining (Except Oil and Gas) 99,246,911 1.11 85 311 Food Manufacturing 1,196,188 1.34 115 321 Wood Product Manufacturing 260,368 1.26 80 322 Paper Manufacturing 62,709 1.49 80 323 Printing and Related Support Activities 3,060 1.64 55 324 Petroleum and Coal Products Manufacturing 8.69E+27 7.64 30 325 Chemical Manufacturing 1,909,687 1.21 155 326 Plastics and Rubber Products Manufacturing 36,961 1.49 165 327 Nonmetallic Mineral Product Manufacturing 3,600,178 1.61 120 331 Primary Metal Manufacturing 73,890 1.50 95 332 Fabricated Metal Product Manufacturing 55,145 1.40 250 333 Machinery Manufacturing 12,342 1.26 140 334 Computer and Electronic Product Manufacturing 9,164 0.93 45 336 Transportation Equipment Manufacturing 38,920 1.31 160 339 Miscellaneous Manufacturing 2,701 1.86 60 423 Merchant Wholesalers, Durable Goods 730,667 1.39 570 424 Merchant Wholesalers, Nondurable Goods 66,140,782 0.47 360 454 Nonstore Retailers 1.48E+14 5.32 50 493 Warehousing and Storage 3.21E+21 4.95 70 551 Management of Companies and Enterprises 3.18E+18 4.62 55 CFS - Ohio - Road Modes [pounds/year] NAICS Description ` a Obs. Table 102. FP 3-digit NAICS (road modes), non-linear models, Ohio (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 109 Log-Lin Model Equation 118 expresses the calculation used to generate the models in Table 103. ( )= α × β , where is the exponential function (118)FP e e ei E xi 212 Mining (Except Oil and Gas) 920,429,626 0.025 85 311 Food Manufacturing 300,907,755 0.006 115 321 Wood Product Manufacturing 3,578,829 0.040 80 322 Paper Manufacturing 17,337,210 0.012 80 323 Printing and Related Support Activities 407,586 0.014 55 324 Petroleum and Coal Products Manufacturing 3.06E+68 0.118 30 325 Chemical Manufacturing 155,488,145 0.009 155 326 Plastics and Rubber Products Manufacturing 12,619,957 0.011 165 327 Nonmetallic Mineral Product Manufacturing 636,135,771 0.012 120 331 Primary Metal Manufacturing 50,259,157 0.006 95 332 Fabricated Metal Product Manufacturing 10,407,126 0.006 250 333 Machinery Manufacturing 1,054,333 0.007 140 334 Computer and Electronic Product Manufacturing 179,918 0.007 45 336 Transportation Equipment Manufacturing 16,389,868 0.003 160 339 Miscellaneous Manufacturing 1,105,807 0.024 60 423 Merchant Wholesalers, Durable Goods 20,530,513 0.028 570 424 Merchant Wholesalers, Nondurable Goods 147,941,861 0.012 360 454 Nonstore Retailers 9,666,491 0.003 50 493 Warehousing and Storage 70,904,907 0.006 70 551 Management of Companies and Enterprises 3.76E+50 0.033 55 CFS - Ohio - Road Modes [pounds/year] NAICS Description ` a Obs. Table 103. FP 3-digit NAICS (road modes), non-linear models, Ohio (CFS 2007).

110 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP Models, United States (CFS) FP (Pounds/Year) 2-Digit NAICS (All Modes), Linear Models Equation 119 expresses the calculation used to generate the models in Table 104. (119)FP Ei i= β 21 Mining 30,950,434 1550 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 506,712 4480 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 1,021,071 12310 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 153,426 12700 42 Wholesale Trade 787,685 20065 45 Sporting Goods, Hobby, Books & Music Stores 55,970 1225 49 Postal Service, Couriers & Messengers, Warehousing & Storage 792,551 1245 51 Information 50,498 665 55 Management of Companies and Enterprises 187,803 1000 CFS - United States - All Modes [pounds/year] Obs.NAICS Description a Table 104. FP 2-digit NAICS (all modes), linear models, United States (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 111 FP (Pounds/Year) 3-Digit NAICS (All Modes), Linear Models Equation 120 expresses the calculation used to generate the models in Table 105. (120)FP Ei i= β Table 105. FP 3-digit NAICS (all modes), linear models, United States (CFS 2007). 212 Mining (except Oil and Gas) 30,950,434 1550 311 Food Manufacturing 479,233 2930 312 Beverage and Tobacco Product Manufacturing 1,247,982 470 313 Textile Mills 121,735 380 314 Textile Product Mills 156,603 345 315 Apparel Manufacturing 13,069 245 316 Leather and Allied Product Manufacturing 26,298 115 321 Wood Product Manufacturing 535,798 1945 322 Paper Manufacturing 983,715 1210 323 Printing and Related Support Activities 206,843 1370 324 Petroleum and Coal Products Manufacturing 21,353,264 660 325 Chemical Manufacturing 331,190 2480 326 Plastics and Rubber Products Manufacturing 173,722 2145 327 Nonmetallic Mineral Product Manufacturing 2,324,909 2495 331 Primary Metal Manufacturing 1,344,674 995 332 Fabricated Metal Product Manufacturing 124,851 3365 333 Machinery Manufacturing 93,915 2075 334 Computer and Electronic Product Manufacturing 5,551 1360 335 Electrical Equipment, Appliance, and Component Manufacturing 124,671 835 336 Transportation Equipment Manufacturing 91,317 1755 337 Furniture and Related Product Manufacturing 79,134 1145 339 Miscellaneous Manufacturing 20,208 1175 423 Merchant Wholesalers, Durable Goods 463,162 11315 424 Merchant Wholesalers, Nondurable Goods 1,004,441 8750 454 Nonstore Retailers 55,970 1225 493 Warehousing and Storage 792,551 1245 511 Publishing Industries (except Internet) 50,498 665 551 Management of Companies and Enterprises 187,803 1000 Obs. CFS - United States - All Modes [pounds/year] NAICS Description a

112 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 2-Digit NAICS (Road Modes), Linear Models Equation 121 expresses the calculation used to generate the models in Table 106. (121)FP Ei i= β 21 Mining 7,745,393 1550 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 438,112 4480 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 400,204 12310 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 96,430 12700 42 Wholesale Trade 634,793 20065 45 Sporting Goods, Hobby, Books & Music Stores 55,162 1225 49 Postal Service, Couriers & Messengers, Warehousing & Storage 776,337 1245 51 Information 50,264 665 55 Management of Companies and Enterprises 131,126 1000 CFS - United States - Road Modes [pounds/year] NAICS Description a Obs. Table 106. FP 2-digit NAICS (road modes), linear models, United States (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 113 FP (Pounds/Year) 3-Digit NAICS (Road Modes), Linear Models Equation 122 expresses the calculation used to generate the models in Table 107. (122)FP Ei i= β 212 Mining (except Oil and Gas) 7,745,393 1550 311 Food Manufacturing 407,308 2930 312 Beverage and Tobacco Product Manufacturing 1,141,177 470 313 Textile Mills 107,003 380 314 Textile Product Mills 149,057 345 315 Apparel Manufacturing 12,406 245 316 Leather and Allied Product Manufacturing 14,818 115 321 Wood Product Manufacturing 442,228 1940 322 Paper Manufacturing 681,290 1210 323 Printing and Related Support Activities 199,029 1370 324 Petroleum and Coal Products Manufacturing 3,049,815 660 325 Chemical Manufacturing 140,199 2480 326 Plastics and Rubber Products Manufacturing 165,006 2145 327 Nonmetallic Mineral Product Manufacturing 2,071,737 2495 331 Primary Metal Manufacturing 688,961 995 332 Fabricated Metal Product Manufacturing 116,781 3365 333 Machinery Manufacturing 79,544 2075 334 Computer and Electronic Product Manufacturing 5,068 1360 335 Electrical Equipment, Appliance, and Component Manufacturing 109,183 835 336 Transportation Equipment Manufacturing 62,432 1755 337 Furniture and Related Product Manufacturing 78,062 1145 339 Miscellaneous Manufacturing 18,846 1175 423 Merchant Wholesalers, Durable Goods 364,029 11315 424 Merchant Wholesalers, Nondurable Goods 815,641 8750 454 Nonstore Retailers 55,162 1225 493 Warehousing and Storage 776,337 1245 511 Publishing Industries (except Internet) 50,264 665 551 Management of Companies and Enterprises 131,126 1000 Obs. CFS - United States - Road Modes [pounds/year] NAICS Description a Table 107. FP 3-digit NAICS (road modes), linear models, United States (CFS 2007).

114 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 2-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 123 expresses the calculation used to generate the models in Table 108. , where is the natural logarithmic (123)FP Ln E Lni i ( )= β Log-Log Model Equation 124 expresses the calculation used to generate the models in Table 109. (124)FP Ei i= α × β 21 Mining 429,983,087 1550 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 31,333,710 4480 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 47,847,304 12310 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 6,476,103 12700 42 Wholesale Trade 22,315,863 20065 45 Sporting Goods, Hobby, Books & Music Stores 3,395,976 1225 49 Postal Service, Couriers & Messengers, Warehousing & Storage 35,471,262 1245 51 Information 2,334,908 665 55 Management of Companies and Enterprises 45,286,940 1000 CFS - United States - All Modes [pounds/year] Obs.NAICS Description a Table 108. FP 2-digit NAICS (all modes), non-linear models, United States (CFS 2007). 21 Mining 102,966,643 1.04 1550 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 468,066 1.60 4480 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 53,474,643 1.09 12310 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 26,863 1.44 12700 42 Wholesale Trade 13,820,918 1.03 20065 45 Sporting Goods, Hobby, Books & Music Stores 3,506,710 1.079 1225 49 Postal Service, Couriers & Messengers, Warehousing & Storage 55,234,357 0.384 1245 51 Information 18,122 1.221 665 55 Management of Companies and Enterprises 1.30E+19 5.27 1000 CFS - United States - All Modes [pounds/year] NAICS Description `* a Obs. Table 109. FP 2-digit NAICS (all modes), non-linear models, United States (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 115 Log-Lin Model Equation 125 expresses the calculation used to generate the models in Table 110. ( )= α × β , where is the exponential function (125)FP e e ei E xi 21 Mining 1,199,901,388 0.013 1550 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 326,892,029 0.007 4480 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 1,487,452,490 0.006 12310 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 7,567,683 0.005 12700 42 Wholesale Trade 122,367,091 0.017 20065 45 Sporting Goods, Hobby, Books & Music Stores 34,579,096 0.005 1225 49 Postal Service, Couriers & Messengers, Warehousing & Storage 101,248,238 0.005 1245 51 Information 638,169 0.006 665 55 Management of Companies and Enterprises 7.52E+52 0.018 1000 CFS - United States - All Modes [pounds/year] NAICS Description `* a Obs. Table 110. FP 2-digit NAICS (all modes), non-linear models, United States (CFS 2007).

116 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips FP (Pounds/Year) 3-Digit NAICS (All Modes), Non-Linear Models Lin-Log Model Equation 126 expresses the calculation used to generate the models in Table 111. , where is the natural logarithmic (126)FP Ln E Lni i ( )= β 212 Mining (except Oil and Gas) 429,983,087 1550 311 Food Manufacturing 37,931,394 2930 312 Beverage and Tobacco Product Manufacturing 57,115,808 470 313 Textile Mills 3,450,167 380 314 Textile Product Mills 3,225,652 345 315 Apparel Manufacturing 377,710 245 316 Leather and Allied Product Manufacturing 839,479 115 321 Wood Product Manufacturing 16,779,809 1945 322 Paper Manufacturing 29,828,941 1210 323 Printing and Related Support Activities 3,131,831 1370 324 Petroleum and Coal Products Manufacturing 319,927,314 660 325 Chemical Manufacturing 38,833,673 2480 326 Plastics and Rubber Products Manufacturing 5,098,086 2145 327 Nonmetallic Mineral Product Manufacturing 69,302,012 2495 331 Primary Metal Manufacturing 43,046,210 995 332 Fabricated Metal Product Manufacturing 4,391,241 3365 333 Machinery Manufacturing 2,571,528 2075 334 Computer and Electronic Product Manufacturing 420,467 1360 335 Electrical Equipment, Appliance, and Component Manufacturing 4,105,737 835 336 Transportation Equipment Manufacturing 8,370,088 1755 337 Furniture and Related Product Manufacturing 2,020,253 1145 339 Miscellaneous Manufacturing 767,475 1175 423 Merchant Wholesalers, Durable Goods 11,144,484 11315 424 Merchant Wholesalers, Nondurable Goods 37,457,598 8750 454 Nonstore Retailers 3,395,976 1225 493 Warehousing and Storage 35,471,262 1245 511 Publishing Industries (except Internet) 2,334,908 665 551 Management of Companies and Enterprises 45,286,940 1000 CFS - United States - All Modes [pounds/year] Obs.NAICS Description a Table 111. FP 3-digit NAICS (all modes), non-linear models, United States (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 117 Log-Log Model Equation 127 expresses the calculation used to generate the models in Table 112. (127)FP Ei i= α × β 212 Mining (Except Oil and Gas) 102,966,643 1.04 1550 311 Food Manufacturing 1,041,245 1.39 2930 312 Beverage and Tobacco Manufacturing 688,916 1.46 470 313 Textile Mills 36,487 1.28 380 314 Textile Product Mills 7,960 1.51 345 315 Apparel Manufacturing 4,037 1.40 245 316 Leather and Allied Product Manufacturing 12,208 1.29 115 321 Wood Product Manufacturing 694,425 1.35 1945 322 Paper Manufacturing 83,322 1.57 1210 323 Printing and Related Support Activities 7,131 1.49 1370 324 Petroleum and Coal Products Manufacturing 515,913,515 0.63 660 325 Chemical Manufacturing 2,044,183 1.45 2480 326 Plastics and Rubber Products Manufacturing 31,214 1.53 2145 327 Nonmetallic Mineral Product Manufacturing 203,230,866 0.99 2495 331 Primary Metal Manufacturing 52,303 1.69 995 332 Fabricated Metal Product Manufacturing 47,856 1.50 3365 333 Machinery Manufacturing 10,987 1.45 2075 334 Computer and Electronic Product Manufacturing 5,393 1.07 1350 335 Electrical Equipment, Appliance, and Component Manufacturing 5,733 1.54 835 336 Transportation Equipment Manufacturing 23,124 1.40 1755 337 Furniture and Related Product Manufacturing 18,220 1.27 1145 339 Miscellaneous Manufacturing 5,837 1.43 1175 423 Merchant Wholesalers, Durable Goods 1,862,995 1.25 11315 424 Merchant Wholesalers, Nondurable Goods 39,048,068 0.85 8750 454 Nonstore Retailers 3,506,710 1.08 1225 493 Warehousing and Storage 55,234,357 0.38 1245 511 Publishing Industries (except Internet) 18,122 1.22 665 551 Management of Companies and Enterprises 1.30E+19 5.27 1000 CFS - United States - All Modes [pounds/year] NAICS Description `* a Obs. Table 112. FP 3-digit NAICS (all modes), non-linear models, United States (CFS 2007).

118 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Lin Model Equation 128 expresses the calculation used to generate the models in Table 113. ( )= α × β , where is the exponential function (128)FP e e ei E xi 212 Mining (Except Oil and Gas) 1,199,901,388 0.013 1550 311 Food Manufacturing 375,169,495 0.005 2930 312 Beverage and Tobacco Manufacturing 94,574,636 0.008 470 313 Textile Mills 2,228,393 0.011 380 314 Textile Product Mills 398,747 0.015 345 315 Apparel Manufacturing 231,302 0.014 245 316 Leather and Allied Product Manufacturing 269,358 0.020 115 321 Wood Product Manufacturing 37,582,650 0.015 1945 322 Paper Manufacturing 47,435,340 0.011 1210 323 Printing and Related Support Activities 283,656 0.019 1370 324 Petroleum and Coal Products Manufacturing 1,409,085,570 0.009 660 325 Chemical Manufacturing 554,139,014 0.003 2480 326 Plastics and Rubber Products Manufacturing 9,675,381 0.011 2145 327 Nonmetallic Mineral Product Manufacturing 2,352,689,371 0.013 2495 331 Primary Metal Manufacturing 162,668,499 0.007 995 332 Fabricated Metal Product Manufacturing 5,879,730 0.014 3365 333 Machinery Manufacturing 2,626,627 0.008 2075 334 Computer and Electronic Product Manufacturing 265,544 0.003 1350 335 Electrical Equipment, Appliance, and Component Manufacturing 2,002,370 0.007 835 336 Transportation Equipment Manufacturing 18,410,870 0.003 1755 337 Furniture and Related Product Manufacturing 851,389 0.008 1145 339 Miscellaneous Manufacturing 447,156 0.009 1175 423 Merchant Wholesalers, Durable Goods 30,415,674 0.024 11315 424 Merchant Wholesalers, Nondurable Goods 218,477,972 0.012 8750 454 Nonstore Retailers 34,579,096 0.005 1225 493 Warehousing and Storage 101,248,238 0.005 1245 511 Publishing Industries (except Internet) 638,169 0.006 665 551 Management of Companies and Enterprises 7.52E+52 0.018 1000 CFS - United States - All Modes [pounds/year] NAICS Description `* a Obs. Table 113. FP 3-digit NAICS (all modes), non-linear models, United States (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 119 FP (Pounds/Year) 2-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 129 expresses the calculation used to generate the models in Table 114. , where is the natural logarithmic (129)FP Ln E Lni i ( )= β 21 Mining 282,432,192 1550 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 26,039,527 4480 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 31,515,922 12310 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 4,777,409 12700 42 Wholesale Trade 16,109,203 20065 45 Sporting Goods, Hobby, Books & Music Stores 3,344,522 1225 49 Postal Service, Couriers & Messengers, Warehousing & Storage 32,568,847 1245 51 Information 2,302,358 665 55 Management of Companies and Enterprises 27,154,413 1000 CFS - United States - Road Modes [pounds/year] NAICS Description a Obs. Table 114. FP 2-digit NAICS (road modes), non-linear models, United States (CFS 2007). Log-Log Model Equation 130 expresses the calculation used to generate the models in Table 115. (130)FP Ei i= α × β 21 Mining 112,096,301 0.96 1550 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 432,129 1.60 4480 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 55,617,478 1.05 12310 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 28,786 1.43 12700 42 Wholesale Trade 10,850,958 1.01 20065 45 Sporting Goods, Hobby, Books & Music Stores 3,660,418 1.08 1225 49 Postal Service, Couriers & Messengers, Warehousing & Storage 43,493,667 0.41 1245 51 Information 14,244 1.25 665 55 Management of Companies and Enterprises 1.10E+18 5.19 1000 CFS - United States - Road Modes [pounds/year] NAICS Description `* a Obs. Table 115. FP 2-digit NAICS (road modes), non-linear models, United States (CFS 2007).

120 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Lin Model Equation 131 expresses the calculation used to generate the models in Table 116. ( )= α × β , where is the exponential function (131)FP e e ei E xi 21 Mining 1,060,968,078 0.011 1550 31 Food, Beverage, Tobacco, Textile, Apparel, Leather & Allied Product Manufacturing 284,051,672 0.007 4480 32 Wood, Paper, Printing, Petroleum & Coal Products, Chemical, Plastics, Nonmetallic & Mineral Product Manufacturing 1,325,290,816 0.006 12310 33 Metal, Machinery, Computer, Electronics, Electrical Equipment, Transportation, Furniture & Misc. Manufacturing 7,183,053 0.005 12700 42 Wholesale Trade 89,493,563 0.017 20065 45 Sporting Goods, Hobby, Books & Music Stores 35,653,332 0.005 1225 49 Postal Service, Couriers & Messengers, Warehousing & Storage 83,685,705 0.005 1245 51 Information 543,866 0.006 665 55 Management of Companies and Enterprises 2.11E+50 0.018 1000 CFS - United States - Road Modes [pounds/year] NAICS Description `* a Obs. Table 116. FP 2-digit NAICS (road modes), non-linear models, United States (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 121 FP (Pounds/Year) 3-Digit NAICS (Road Modes), Non-Linear Models Lin-Log Model Equation 132 expresses the calculation used to generate the models in Table 117. , where is the natural logarithmic (132)FP Ln E Lni i ( )= β 212 Mining (except Oil and Gas) 282,432,192 1550 311 Food Manufacturing 30,186,424 2930 312 Beverage and Tobacco Product Manufacturing 55,070,117 470 313 Textile Mills 3,236,767 380 314 Textile Product Mills 3,100,576 345 315 Apparel Manufacturing 360,950 245 316 Leather and Allied Product Manufacturing 452,518 115 321 Wood Product Manufacturing 14,202,550 1940 322 Paper Manufacturing 22,255,566 1210 323 Printing and Related Support Activities 3,034,954 1370 324 Petroleum and Coal Products Manufacturing 148,268,574 660 325 Chemical Manufacturing 18,347,836 2480 326 Plastics and Rubber Products Manufacturing 4,918,655 2145 327 Nonmetallic Mineral Product Manufacturing 64,152,503 2495 331 Primary Metal Manufacturing 25,910,905 995 332 Fabricated Metal Product Manufacturing 4,085,332 3365 333 Machinery Manufacturing 2,346,774 2075 334 Computer and Electronic Product Manufacturing 388,738 1360 335 Electrical Equipment, Appliance, and Component Manufacturing 3,422,187 835 336 Transportation Equipment Manufacturing 6,425,835 1755 337 Furniture and Related Product Manufacturing 1,974,956 1145 339 Miscellaneous Manufacturing 718,824 1175 423 Merchant Wholesalers, Durable Goods 7,321,444 11315 424 Merchant Wholesalers, Nondurable Goods 28,020,169 8750 454 Nonstore Retailers 3,344,522 1225 493 Warehousing and Storage 32,568,847 1245 511 Publishing Industries (except Internet) 2,302,358 665 551 Management of Companies and Enterprises 27,154,413 1000 Obs. CFS - United States - Road Modes [pounds/year] NAICS Description a Table 117. FP 3-digit NAICS (road modes), non-linear models, United States (CFS 2007).

122 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Log-Log Model Equation 133 expresses the calculation used to generate the models in Table 118. (133)FP Ei i= α × β 212 Mining (Except Oil and Gas) 112,096,301 0.96 1550 311 Food Manufacturing 922,466 1.39 2930 312 Beverage and Tobacco Manufacturing 668,480 1.47 470 313 Textile Mills 36,636 1.27 380 314 Textile Product Mills 7,343 1.58 345 315 Apparel Manufacturing 3,324 1.43 245 316 Leather and Allied Product Manufacturing 11,815 1.25 115 321 Wood Product Manufacturing 694,240 1.32 1945 322 Paper Manufacturing 86,482 1.54 1210 323 Printing and Related Support Activities 6,771 1.52 1370 324 Petroleum and Coal Products Manufacturing 628,206,677 0.51 660 325 Chemical Manufacturing 1,616,289 1.40 2480 326 Plastics and Rubber Products Manufacturing 30,572 1.53 2145 327 Nonmetallic Mineral Product Manufacturing 213,404,854 0.97 2495 331 Primary Metal Manufacturing 53,094 1.66 995 332 Fabricated Metal Product Manufacturing 48,237 1.49 3365 333 Machinery Manufacturing 10,940 1.44 2075 334 Computer and Electronic Product Manufacturing 5,783 1.06 1350 335 Electrical Equipment, Appliance, and Component Manufacturing 6,738 1.50 835 336 Transportation Equipment Manufacturing 25,131 1.37 1755 337 Furniture and Related Product Manufacturing 17,983 1.28 1145 339 Miscellaneous Manufacturing 6,346 1.41 1175 423 Merchant Wholesalers, Durable Goods 1,689,523 1.23 11315 424 Merchant Wholesalers, Nondurable Goods 26,846,992 0.83 8750 454 Nonstore Retailers 3,660,418 1.08 1225 493 Warehousing and Storage 43,493,667 0.41 1245 511 Publishing Industries (except Internet) 14,244 1.25 665 551 Management of Companies and Enterprises 1.10E+18 5.19 1000 CFS - United States - Road Modes [pounds/year] NAICS Description `* a Obs. Table 118. FP 3-digit NAICS (road modes), non-linear models, United States (CFS 2007).

Freight, Freight trip, and Service trip Generation Models 123 Log-Lin Model Equation 134 expresses the calculation used to generate the models in Table 119. ( )= α × β , where is the exponential function (134)FP e e ei E xi 212 Mining (Except Oil and Gas) 1,060,968,078 0.011 1550 311 Food Manufacturing 318,001,220 0.005 2930 312 Beverage and Tobacco Manufacturing 95,152,870 0.008 470 313 Textile Mills 2,177,178 0.011 380 314 Textile Product Mills 490,646 0.015 345 315 Apparel Manufacturing 219,800 0.014 245 316 Leather and Allied Product Manufacturing 223,977 0.020 115 321 Wood Product Manufacturing 34,288,321 0.014 1945 322 Paper Manufacturing 45,453,085 0.010 1210 323 Printing and Related Support Activities 298,928 0.019 1370 324 Petroleum and Coal Products Manufacturing 1,488,870,669 0.005 660 325 Chemical Manufacturing 332,634,484 0.003 2480 326 Plastics and Rubber Products Manufacturing 9,656,265 0.011 2145 327 Nonmetallic Mineral Product Manufacturing 2,347,809,210 0.013 2495 331 Primary Metal Manufacturing 138,818,749 0.007 995 332 Fabricated Metal Product Manufacturing 5,756,215 0.014 3365 333 Machinery Manufacturing 2,441,740 0.007 2075 334 Computer and Electronic Product Manufacturing 264,753 0.003 1350 335 Electrical Equipment, Appliance, and Component Manufacturing 1,815,183 0.007 835 336 Transportation Equipment Manufacturing 15,747,364 0.003 1755 337 Furniture and Related Product Manufacturing 883,908 0.008 1145 339 Miscellaneous Manufacturing 434,962 0.009 1175 423 Merchant Wholesalers, Durable Goods 26,560,430 0.023 11315 424 Merchant Wholesalers, Nondurable Goods 138,593,836 0.013 8750 454 Nonstore Retailers 35,653,332 0.005 1225 493 Warehousing and Storage 83,685,705 0.005 1245 511 Publishing Industries (except Internet) 543,866 0.006 665 551 Management of Companies and Enterprises 2.11E+50 0.018 1000 CFS - United States - Road Modes [pounds/year] NAICS Description `* a Obs. Table 119. FP 3-digit NAICS (road modes), non-linear models, United States (CFS 2007).

Next: Chapter 9 - Illustrative Applications »
Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook Get This Book
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TRB's National Cooperative Freight Research Program (NCFRP) Research Report 37: Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook provides policy makers with improved establishment-level models that estimate the Freight Trip Generation (FTG), the number of vehicle trips produced and attracted at a given establishment; the Freight Production (FP), the amount of cargo produced by the establishment; and the Service Trip Attraction (STA), and the number of vehicle trips that arrive at the establishment to perform a service activity. These models, estimated with the best data available, provide tools to assess the various facets of the overall Freight and Service Activity (FSA) that takes place in urban and metropolitan areas. The models will allow transportation practitioners to conduct sound curb-management, properly size loading and unloading areas, support traffic impact analyses, and improve transportation planning and management efforts.

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