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Using Commodity Flow Survey Microdata and Other Establishment Data to Estimate the Generation of Freight, Freight Trips, and Service Trips: Guidebook (2016)

Chapter: Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI Models

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Suggested Citation:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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:"Appendix A - Descriptive Statistics for the Sample Used to Estimate the RPI 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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134 A p p e n d i x A Descriptive Statistics for the Sample Used to Estimate the RPI Models FREIGHT TRIP ATTRACTION (FTA) Table 123: Breakdown of Freight Trip Attraction Sample by Industry Type (2-Digit NAICS) Obs. Sample % Obs. Sample % Obs. Sample % 23 Construction 57 7.50% 9 8.04% 66 7.57% 31 49 6.45% 5 4.46% 54 6.19% 32 50 6.58% 15 13.39% 65 7.45% 33 67 8.82% 16 14.29% 83 9.52% 42 Wholesale 198 26.05% 29 25.89% 227 26.03% 44 158 20.79% 22 19.64% 180 20.64% 45 74 9.74% 5 4.46% 79 9.06% 48 11 1.45% 3 2.68% 14 1.61% 49 1 0.13% 1 0.89% 2 0.23% 72 Accommodation and Food 95 12.50% 7 6.25% 102 11.70% 760 100% 112 100% 872 100% NYC SampleNAICS Total CR Sample Whole Sample Manufacturing Retail Modal Transportation & Support Activities Industry Table 124: Breakdown of Number of Trips Attracted per Day for the Sample Obs. Sample % Obs. Sample % Obs. Sample % <=2 378 49.7% 60 53.6% 438 50.2% >2 - 5 236 31.1% 35 31.3% 271 31.1% >5 - 10 78 10.3% 9 8.0% 87 10.0% >10-20 44 5.8% 6 5.4% 50 5.7% >20-40 15 2.0% 1 0.9% 16 1.8% >40 9 1.2% 1 0.9% 10 1.1% Total 760 100% 112 100% 872 100% FTA (No. of Trips Attracted/Day) NYC Sample CR Sample Whole Sample

descriptive Statistics for the Sample Used to estimate the Rpi Models 135 Table 125: Breakdown of Freight Trip Attraction per Day for Each Industry Sector Obs. Sample % Obs. Sample % Obs. Sample % <=2 34 59.6% 6 66.7% 40 60.6% >2 - 5 15 26.3% 2 22.2% 17 25.8% >5 - 10 5 8.8% 1 11.1% 6 9.1% >10-20 2 3.5% 0 0.0% 2 3.0% >20 1 1.8% 0 0.0% 1 1.5% Total 57 100% 9 100% 66 100% Obs. Sample % Obs. Sample % Obs. Sample % <=2 89 53.6% 17 47.2% 106 52.5% >2 - 5 49 29.5% 13 36.1% 62 30.7% >5 - 10 11 6.6% 4 11.1% 15 7.4% >10 - 20 12 7.2% 1 2.8% 13 6.4% >20-40 3 1.8% 1 2.8% 4 2.0% >40 2 1.2% 0 0.0% 2 1.0% Total 166 100% 36 100% 202 100% Obs. Sample % Obs. Sample % Obs. Sample % <=2 88 44.4% 19 65.5% 107 47.1% >2 - 5 66 33.3% 6 20.7% 72 31.7% >5 - 10 25 12.6% 2 6.9% 27 11.9% >10 - 20 12 6.1% 2 6.9% 14 6.2% >20-40 3 1.5% 0 0.0% 3 1.3% >40 4 2.0% 0 0.0% 4 1.8% Total 198 100% 29 100% 227 100% Obs. Sample % Obs. Sample % Obs. Sample % <=2 113 48.7% 12 44.4% 125 48.3% >2 - 5 77 33.2% 11 40.7% 88 34.0% >5 - 10 21 9.1% 2 7.4% 23 8.9% >10 - 20 13 5.6% 2 7.4% 15 5.8% >20-40 6 2.6% 0 0.0% 6 2.3% >40 2 0.9% 0 0.0% 2 0.8% Total 232 100% 27 100% 259 100% NAICS 23 NAICS 31-33 FTA (No. of Trips Attracted/Day) NYC Sample CR Sample FTA (No. of Trips Attracted/Day) NYC Sample CR Sample Whole Sample NAICS 42 Whole Sample NAICS 44-45 FTA (No. of Trips Attracted/Day) NYC Sample CR Sample Whole Sample FTA (No. of Trips Attracted/Day) NYC Sample CR Sample Whole Sample

136 Using Commodity Flow Survey Microdata and Other establishment data to estimate the Generation of Freight, Freight Trips, and Service Trips Table 125 (cont.): Breakdown of Freight Trip Attraction for Each Industry Sector Obs. Sample % Obs. Sample % Obs. Sample % <=2 5 41.7% 0 0% 5 31.3% >2 - 5 4 33.3% 3 75% 7 43.8% >5 - 10 0 0.0% 0 0% 0 0% >10 - 20 1 8.3% 1 25% 2 12.5% >20-40 1 8.3% 0 0% 1 6.3% >40 1 8.3% 0 0% 1 6.3% Total 12 100% 4 100% 16 100% Obs. Sample % Obs. Sample % Obs. Sample % <=2 49 51.6% 6 85.7% 55 53.9% >2 - 5 25 26.3% 1 14.3% 26 25.5% >5 - 10 16 16.8% 0 0.0% 16 15.7% >10 - 20 4 4.2% 0 0.0% 4 3.9% >20 1 1.1% 0 0.0% 1 1.0% Total 95 100% 7 100% 102 100% FTA (No. of Trips Attracted/Day) NYC Sample CR Sample Whole Sample NAICS 72 NAICS 48-49 FTA (No. of Trips Attracted/Day) NYC Sample CR Sample Whole Sample FREIGHT TRIP PRODUCTION (FTP) Table 126: Breakdown of Freight Trip Production Sample by Industry Sectors (2-Digit NAICS) Obs. Sample % Obs. Sample % Obs. Sample % 23 Construction 17 8.54% 3 4.35% 20 7.46% 31 15 7.54% 3 4.35% 18 6.72% 32 24 12.06% 12 17.39% 36 13.43% 33 30 15.08% 12 17.39% 42 15.67% 42 Wholesale 44 22.11% 24 34.78% 68 25.37% 44 32 16.08% 10 14.49% 42 15.67% 45 19 9.55% 2 2.90% 21 7.84% 48 6 3.02% 2 2.90% 8 2.99% 49 1 0.50% 0 0.00% 1 0.37% 72 Accommodation and Food 11 5.53% 1 1.45% 12 4.48% 199 100% 69 100% 268 100% NYC SampleNAICS Total CR Sample Whole Sample Manufacturing Retail Modal Transportation & Support Activities Industry Table 127: Breakdown of Number of Trips Produced per Day for the Sample Obs. Sample % Obs. Sample % Obs. Sample % <=2 100 50.3% 23 33.3% 123 45.9% >2 - 5 39 19.6% 18 26.1% 57 21.3% >5 - 10 24 12.1% 11 15.9% 35 13.1% >10 - 20 18 9.0% 15 21.7% 33 12.3% >20 - 30 13 6.5% 2 2.9% 15 5.6% >30 5 2.5% 0 0.0% 5 1.9% Total 199 100% 69 100% 268 100% FTP (No. of Trips Produced/Day) NYC Sample CR Sample Whole Sample

descriptive Statistics for the Sample Used to estimate the Rpi Models 137 Table 128: Breakdown of Freight Trip Production per Day for Each Industry Sector Obs. Sample % Obs. Sample % Obs. Sample % <=2 9 52.9% 2 66.7% 11 55.0% >2 - 5 5 29.4% 0 0.0% 5 25.0% >5 - 10 2 11.8% 1 33.3% 3 15.0% >10 1 5.9% 0 0.0% 1 5.0% Total 17 100% 3 100% 20 100% Obs. Sample % Obs. Sample % Obs. Sample % <=2 30 43.5% 8 29.6% 38 39.6% >2 - 5 12 17.4% 9 33.3% 21 21.9% >5 - 10 10 14.5% 4 14.8% 14 14.6% >10 - 20 7 10.1% 5 18.5% 12 12.5% >20 - 30 5 7.2% 1 3.7% 6 6.3% >30 5 7.2% 0 0.0% 5 5.2% Total 69 100% 27 100% 96 100% Obs. Sample % Obs. Sample % Obs. Sample % <=2 20 45.5% 8 33.3% 28 41.2% >2 - 5 10 22.7% 6 25.0% 16 23.5% >5 - 10 6 13.6% 3 12.5% 9 13.2% >10 - 20 6 13.6% 6 25.0% 12 17.6% >20 2 4.5% 1 4.2% 3 4.4% Total 44 100% 24 100% 68 100% Obs. Sample % Obs. Sample % Obs. Sample % <=2 32 62.7% 4 33.3% 36 57.1% >2 - 5 9 17.6% 3 25.0% 12 19.0% >5 - 10 2 3.9% 2 16.7% 4 6.3% >10 - 20 3 5.9% 3 25.0% 6 9.5% >20 5 9.8% 0 0.0% 5 7.9% Total 51 100% 12 100% 63 100% Obs. Sample % Obs. Sample % Obs. Sample % <=2 3 42.9% 0 0% 3 33.3% >2 - 5 2 28.6% 0 0% 2 22.2% >5 - 10 1 14.3% 1 50% 2 22.2% >10 - 20 0 0.0% 1 50% 1 11.1% >20 1 14.3% 0 0% 1 11.1% Total 7 100% 2 100% 9 100% NAICS 31-33 FTP (No. of Trips Produced/Day) NYC Sample CR Sample Whole Sample NAICS 44-45 FTP (No. of Trips Produced/Day) NYC Sample CR Sample Whole Sample NAICS 48-49 FTP (No. of Trips Produced/Day) NAICS 42 NYC Sample CR Sample Whole Sample NAICS 23 FTP (No. of Trips Produced/Day) NYC Sample CR Sample Whole Sample FTP (No. of Trips Produced/Day) NYC Sample CR Sample Whole Sample

138 Using Commodity Flow Survey Microdata and Other establishment data to estimate the Generation of Freight, Freight Trips, and Service Trips Table 128 (cont.): Breakdown of Freight Trip Production per Day for Each Industry Sector Obs. Sample % Obs. Sample % Obs. Sample % <=2 6 54.5% 1 100.0% 7 58.3% >2 - 5 1 9.1% 0 0.0% 1 8.3% >5 - 10 3 27.3% 0 0.0% 3 25.0% >10 1 9.1% 0 0.0% 1 8.3% Total 11 100% 1 100% 12 100% FTP (No. of Trips Produced/Day) NYC Sample CR Sample Whole Sample NAICS 72 SERVICE TRIP ATTRACTION (STA) Table 129: Breakdown of Service Trip Attraction for the Sample Obs. Sample % Obs. Sample % Obs. Sample % <=1 155 90.6% 96 90.6% 251 90.6% >1 - 2 9 5.3% 4 3.8% 13 4.7% >2 - 3 6 3.5% 3 2.8% 9 3.2% >3 - 4 0 0.0% 3 2.8% 3 1.1% >5 - 6 1 0.6% 0 0.0% 1 0.4% Total 171 100% 106 100% 277 100% No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample Table 130: Breakdown of Service Trip Attraction Sample by Industry Sectors (2-Digit NAICS) Obs. Sample % Obs. Sample % Obs. Sample % 23 Construction 6 3.51% 3 2.83% 9 3.25% 31 3 1.75% 3 2.83% 6 2.17% 32 15 8.77% 8 7.55% 23 8.30% 33 11 6.43% 7 6.60% 18 6.50% 42 Wholesale 13 7.60% 18 16.98% 31 11.19% 44 10 5.85% 8 7.55% 18 6.50% 45 3 1.75% 3 2.83% 6 2.17% 48 Modal Transportation & Support Activities 8 4.68% 1 0.94% 9 3.25% 51 Information 13 7.60% 7 6.60% 20 7.22% 52 Finance and Insurance 11 6.43% 2 1.89% 13 4.69% 53 Real Estate 8 4.68% 4 3.77% 12 4.33% 54 Professional and Technical Services 7 4.09% 16 15.09% 23 8.30% 56 Administrative and Waste Services 11 6.43% 11 10.38% 22 7.94% 61 Education Services 11 6.43% 4 3.77% 15 5.42% 62 Health Care and Social Assistance 9 5.26% 5 4.72% 14 5.05% 71 Entertainment 12 7.02% 2 1.89% 14 5.05% 72 Accommodation and Food 13 7.60% 4 3.77% 17 6.14% 81 Other Services (except Public Admin) 7 4.09% 0 0.00% 7 2.53% 171 100% 106 100% 277 100%Total Manufacturing Retail Whole SampleNAICS Industry NYC Sample CR Sample

descriptive Statistics for the Sample Used to estimate the Rpi Models 139 Table 131: Breakdown of Service Trip Attraction per Day for Each Industry Sector Obs. Sample % Obs. Sample % Obs. Sample % <=1 6 100% 3 100% 9 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 29 100% 18 100% 47 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 13 100% 15 83.3% 28 90.3% >1 - 2 0 0% 3 16.7% 3 9.7% Total 13 100% 18 100% 31 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 13 100% 10 90.9% 23 95.8% >3 - 4 0 0% 1 9.1% 1 4.2% Total 13 100% 11 100% 24 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 8 100.0% 1 100.0% 9 100.0% Obs. Sample % Obs. Sample % Obs. Sample % <=1 10 76.9% 7 100% 17 85% >1 - 2 2 15.4% 0 0% 2 10% >2 - 3 1 7.7% 0 0% 1 5% Total 13 100% 7 100% 20 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 9 81.8% 1 50% 10 76.9% >1 - 2 2 18.2% 0 0% 2 15.4% >3 - 4 0 0% 1 50% 1 7.7% Total 11 100% 2 100% 13 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 7 87.5% 4 100.0% 11 91.7% >2 - 3 1 12.5% 0 0% 1 8.3% Total 8 100% 4 100% 12 100% NAICS 48 NAICS 51 NAICS 52 NAICS 53 No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample NAICS 44-45 No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample NAICS 23 NAICS 31-33 NAICS 42

140 Using Commodity Flow Survey Microdata and Other establishment data to estimate the Generation of Freight, Freight Trips, and Service Trips Table 131 (cont.): Breakdown of Service Trip Attraction per Day for Each Industry Sector Obs. Sample % Obs. Sample % Obs. Sample % <=1 6 85.7% 14 87.5% 20 87.0% >1 - 2 0 0% 1 6.3% 1 4.3% >2 - 3 1 14.3% 1 6.3% 2 8.7% Total 7 100% 16 100% 23 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 10 90.9% 11 100% 21 95.5% >1 - 2 1 9.1% 0 0% 1 4.5% Total 11 100% 11 100% 22 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 11 100% 3 75% 14 93.3% >2 - 3 0 0% 1 25% 1 6.7% Total 11 100% 4 100% 15 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 7 77.8% 4 80% 11 78.6% >2 - 3 1 11.1% 0 0% 1 7.1% >3 - 4 0 0% 1 20% 1 7.1% >5 - 6 1 11.1% 0 0% 1 7.1% Total 9 100% 5 100% 14 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 8 66.7% 2 100% 10 71.4% >1 - 2 2 16.7% 0 0% 2 14.3% >2 - 3 2 16.7% 0 0% 2 14.3% Total 12 100% 2 100% 14 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 11 84.6% 3 75% 14 82.4% >1 - 2 2 15.4% 0 0% 2 11.8% >2 - 3 0 0.0% 1 25% 1 5.9% Total 13 100% 4 100% 17 100% Obs. Sample % Obs. Sample % Obs. Sample % <=1 7 100% 0 - 7 100% No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample No. of Service Trips Attracted/Day NYC Sample CR Sample Whole Sample NAICS 81 NAICS 54 NAICS 56 NAICS 61 NAICS 62 NAICS 71 NAICS 72

descriptive Statistics for the Sample Used to estimate the Rpi Models 141 FREIGHT ATTRACTION (FA) Table 132: Breakdown of Freight Attraction for the Sample Obs. Sample % Obs. Sample % Obs. Sample % <=20 25 15.2% 13 13% 38 14.3% >20-100 28 17% 15 15% 43 16.2% >100-500 30 18.2% 20 20% 50 18.9% >500-1,000 17 10.3% 13 13% 30 11.3% >1,000-2,000 11 6.7% 7 7% 18 6.8% >2,000-5,000 15 9.1% 8 8% 23 8.7% >5,000-10,000 8 4.8% 10 10% 18 6.8% >10,000-25,000 12 7.3% 4 4% 16 6% >25,000-50,000 9 5.5% 3 3% 12 4.5% >50,000-150,000 7 4.2% 3 3% 10 3.8% >150,000 3 1.8% 4 4% 7 2.6% Total 165 100% 100 100% 265 100% NYC Sample CR Sample Whole SampleFreight Attraction (in lbs./day) Table 133: Breakdown of Freight Attraction Sample by Industry Sectors (2-Digit NAICS) Obs. Sample % Obs. Sample % Obs. Sample % 23 Construction 16 9.7% 8 8% 24 9.1% 31 7 4.2% 4 4% 11 4.2% 32 22 13.3% 12 12% 34 12.8% 33 22 13.3% 14 14% 36 13.6% 42 Wholesale Trade 21 12.7% 27 27% 48 18.1% 44 18 10.9% 20 20% 38 14.3% 45 6 3.6% 5 5% 11 4.2% 48 12 7.3% 3 3% 15 5.7% 49 0 0% 1 1% 1 0.4% 71 Arts, Entertainment, and Recreation 17 10.3% 2 2% 19 7.2% 72 Accommodation and Food Services 24 14.5% 4 4% 28 10.6% 165 100% 100 100% 265 100% Transportation and Warehousing Total NAICS NYC Sample CR SampleIndustry Retail Manufacturing Whole Sample

142 Using Commodity Flow Survey Microdata and Other establishment data to estimate the Generation of Freight, Freight Trips, and Service Trips Table 134: Breakdown of Freight Attraction per Day for Each Industry Sector Obs. Sample % Obs. Sample % Obs. Sample % <=200 7 43.8% 3 37.5% 10 41.7% >200-500 2 12.5% 0 0% 2 8.3% >500-1,000 2 12.5% 3 37.5% 5 20.8% >1,000 5 31.3% 2 25% 7 29.2% Total 16 100% 8 100% 24 100% Obs. Sample % Obs. Sample % Obs. Sample % <=100 16 31.4% 10 33.3% 26 32.1% >100-500 6 11.8% 6 20.0% 12 14.8% >500-1,000 2 3.9% 3 10.0% 5 6.2% >1,000-5,000 8 15.7% 4 13.3% 12 14.8% >5,000-10,000 4 7.8% 3 10.0% 7 8.6% >10,000 15 29.4% 4 13.3% 19 23.5% Total 51 100% 30 100% 81 100% Obs. Sample % Obs. Sample % Obs. Sample % <=100 4 19% 8 29.63% 12 25% >100-500 2 9.5% 3 11.11% 5 10.4% >500-1,000 3 14.3% 4 14.81% 7 14.6% >1,000-5,000 4 19% 5 18.52% 9 18.8% >5,000-20,000 0 0% 3 11.11% 3 6.3% >20,000-100,000 5 23.8% 0 0% 5 10.4% >100,000 3 14.3% 4 14.81% 7 14.6% Total 21 100% 27 100% 48 100% Obs. Sample % Obs. Sample % Obs. Sample % <=100 9 37.5% 5 20% 14 28.6% >100-500 3 12.5% 8 32% 11 22.4% >500-1,000 2 8.3% 2 8% 4 8.2% >1,000-5,000 5 20.8% 3 12% 8 16.3% >5,000-10,000 3 12.5% 3 12% 6 12.2% >10,000 2 8.3% 4 16% 6 12.2% Total 24 100% 25 100% 49 100% Obs. Sample % Obs. Sample % Obs. Sample % <=100 4 33.3% 1 25% 5 31.3% >100-1,000 3 25% 0 0% 3 18.8% >1,000-10,000 2 16.7% 1 25% 3 18.8% >10,000 3 25% 2 50% 5 31.3% Total 12 100% 4 100% 16 100% NYC Sample CR Sample NAICS 31-33 Freight Attraction (in Pounds) NYC Sample CR Sample Whole Sample NAICS 44-45 Freight Attraction (in Pounds) NYC Sample CR Sample Whole Sample Freight Attraction (in lbs./day) NAICS 48-49 Freight Attraction (in Pounds) NYC Sample CR Sample Whole Sample NYC Sample CR SampleFreight Attraction (in lbs./day) Whole Sample Whole Sample NAICS 23 NAICS 42

descriptive Statistics for the Sample Used to estimate the Rpi Models 143 Table 134 (cont.): Breakdown of Freight Attraction per Day for Each Industry Sector Obs. Sample % Obs. Sample % Obs. Sample % <=20 4 23.5% 1 50% 5 26.3% >20-40 3 17.6% 1 50% 4 21.1% >40-100 4 23.5% 0 0% 4 21.1% >100 6 35.3% 0 0% 6 31.6% Total 17 100% 2 100% 19 100% Obs. Sample % Obs. Sample % Obs. Sample % <=100 4 16.7% 1 25% 5 17.9% >100-250 4 16.7% 1 25% 5 17.9% >250-500 5 20.8% 0 0% 5 17.9% >500-1,000 5 20.8% 1 25% 6 21.4% >1,000 6 25% 1 25% 7 25% Total 24 100% 4 100% 28 100% Freight Attraction (in lbs./day) NYC Sample CR Sample NAICS 71 Freight Attraction (in lbs./day) NYC Sample CR Sample Whole Sample Whole Sample NAICS 72 FREIGHT PRODUCTION (FP) Table 135: Breakdown of Freight Production for the Sample Obs. Sample % Obs. Sample % Obs. Sample % <=20 30 28.3% 9 11.5% 39 21.2% >20-100 13 12.3% 15 19.2% 28 15.2% >100-500 15 14.2% 16 20.5% 31 16.8% >500-1,000 3 2.8% 6 7.7% 9 4.9% >1,000-2,000 4 3.8% 7 9.0% 11 6.0% >2,000-5,000 10 9.4% 6 7.7% 16 8.7% >5,000-10,000 7 6.6% 5 6.4% 12 6.5% >10,000-25,000 8 7.5% 6 7.7% 14 7.6% >25,000-50,000 8 7.5% 2 2.6% 10 5.4% >50,000-150,000 5 4.7% 2 2.6% 7 3.8% >150,000 3 2.8% 4 5.1% 7 3.8% Total 106 100% 78 100% 184 100% Freight Production (in lbs./day) NYC Sample CR Sample Whole Sample Table 136: Breakdown of Freight Production Sample by Industry Sectors (2-Digit NAICS) Obs. Sample % Obs. Sample % Obs. Sample % 23 Construction 9 8.5% 3 3.8% 12 6.5% 31 6 5.7% 3 3.8% 9 4.9% 32 19 17.9% 14 17.9% 33 17.9% 33 18 17% 12 15.4% 30 16.3% 42 Wholesale Trade 18 17% 25 32.1% 43 23.4% 44 9 8.5% 13 16.7% 22 12% 45 2 1.9% 3 3.8% 5 2.7% 48 9 8.5% 2 2.6% 11 6% 49 0 0% 1 1.3% 1 0.5% 71 Arts, Entertainment, and Recreation 8 7.5% 1 1.3% 9 4.9% 72 Accommodation and Food Services 8 7.5% 1 1.3% 9 4.9% Total 106 100% 78 100% 184 100% Manufacturing Retail Transportation and Warehousing NYC Sample CR Sample Whole SampleNAICS Industry

144 Using Commodity Flow Survey Microdata and Other establishment data to estimate the Generation of Freight, Freight Trips, and Service Trips Table 137: Breakdown of Freight Production per Day for Each Industry Sector Obs. Sample % Obs. Sample % Obs. Sample % <=100 7 77.8% 1 33.3% 8 66.7% >100-250 1 11.1% 0 0% 1 8.3% >250-500 1 11.1% 2 66.7% 3 25% Total 9 100% 3 100% 12 100% Obs. Sample % Obs. Sample % Obs. Sample % <=100 10 23.3% 9 31% 19 26.4% >100-500 5 11.6% 7 24.1% 12 16.7% >500-1,500 3 7% 3 10.3% 6 8.3% >1,500-5,000 7 16.3% 3 10.3% 10 13.9% >5,000-15,000 7 16.3% 2 6.9% 9 12.5% >15,000 11 25.6% 5 17.2% 16 22.2% Total 43 100% 29 100% 72 100% Obs. Sample % Obs. Sample % Obs. Sample % <=100 2 11.1% 6 24% 8 18.6% >100-500 4 22.2% 3 12% 7 16.3% >500-1,000 1 5.6% 3 12% 4 9.3% >1,000-10,000 5 27.8% 8 32% 13 30.2% >10,000-100,000 5 27.8% 5 20% 10 23.3% >100,000 1 5.6% 0 0% 1 2.3% Total 18 100% 25 100% 43 100% Obs. Sample % Obs. Sample % Obs. Sample % <=100 6 54.5% 6 37.5% 12 44.4% >100-500 2 18.2% 4 25% 6 22.2% >500-5,000 0 0% 2 12.5% 2 7.4% >5,000-10,000 2 18.2% 2 12.5% 4 14.8% >10,000 1 9.1% 2 12.5% 3 11.1% Total 11 100% 16 100% 27 100% Obs. Sample % Obs. Sample % Obs. Sample % <=100 4 44% 0 0% 4 33.3% >100-1,000 1 11.1% 0 0% 1 8.3% >1,000-10,000 1 11.1% 1 33% 2 16.7% >10,000 3 33.3% 2 67% 5 41.7% Total 9 100% 3 100% 12 100% Freight Production (in lbs./day) NYC Sample CR Sample Whole Sample Whole SampleFreight Production (in lbs./day) NYC Sample NAICS 44-45 Freight Production (in Pounds) NYC Sample CR Sample Whole Sample NAICS 48-49 Freight Production (in Pounds) NYC Sample CR Sample Whole Sample NAICS 23 NAICS 42 NAICS 31-33 Freight Production (in Pounds) NYC Sample CR Sample CR Sample Whole Sample

descriptive Statistics for the Sample Used to estimate the Rpi Models 145 Table 137 (cont.): Breakdown of Freight Production per Day for Each Industry Sector Obs. Sample % Obs. Sample % Obs. Sample % 3 0 - 1 100% 1 100% Obs. Sample % Obs. Sample % Obs. Sample % <=100 7 87.5% 1 100% 8 88.9% >100 1 12.5% 0 0% 1 11.1% Total 8 100% 1 100% 9 100% Whole SampleFreight Production (in lbs./day) NYC Sample CR Sample Whole Sample NAICS 72 Freight Production (in lbs./day) NYC Sample NAICS 71 CR Sample

Next: Appendix B - Final Models Including Statistics »
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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