Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook (2016) / Chapter Skim
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1 This summary encapsulates work done under NCFRP Project 25, "Freight Trip Generation and Land Use" (jointly funded as NCHRP Project 08-80) , and NCFRP Project 25(01)
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2 using Commodity Flow Survey microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips 50 freight attraction (FA) models (19 linear and 31 non-linear models)
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Summary 3 The third and final principle is that the accuracy of FG/FTG/STG analyses depends on the following factors: • the ability of the classification system used in the analyses to group commercial establishments in a set of internally homogeneous classes; • the ability of the measure of business size used to predict the FG/FTG/STG; • the ability of the statistical technique used to capture the underlying relations that shape FG/FTG/STG; and • the use of disaggregate (establishment-level) models in conjunction with the corresponding aggregation procedure to estimate aggregate values (if needed)
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4 using Commodity Flow Survey microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips the intensity and type of the economic activity being performed; and whether or not the establishments are empty, lightly used, or very heavily used. In contrast, variables such as employment are likely to be better explanatory variables because they rise and fall in concert with the level of economic activity.
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Summary 5 Both industrial classification systems (i.e., SIC and NAICS) and land use classification systems (i.e., LBCS, and New York City Zoning Resolution [NYCZR]
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6 using Commodity Flow Survey microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips • The CFS can be efficiently used to estimate FP models. The use of the CFS in combination with complementary datasets provides an efficient way to estimate FP models for the entire nation at various levels of geography.
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Summary 7 made a strong case for a redirection of FG/FTG/STG research and practice that emphasizes the economic roots of these activities and leads to more accurate models that can be seamlessly used in combination with publicly available employment data. The incorporation of these recommendations on traffic impact analyses, traffic engineering, medium/long term demand forecasting exercises, and land use planning will lead to an enhanced understanding of the role of freight and service activity (FSA)
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