The National Academies Press

Currently Skimming:

Pages 38-123

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.

From page 38... ... 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) Read the entire page →
From page 39... ... 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) Read the entire page →
From page 40... ... 40 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Min. Read the entire page →
From page 41... ... 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. Read the entire page →
From page 42... ... 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. Read the entire page →
From page 43... ... 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. Read the entire page →
From page 44... ... 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) Read the entire page →
From page 45... ... Freight, Freight trip, and Service trip Generation Models 45 STG Models (RPI) STA (Service Calls/Day) Read the entire page →
From page 46... ... 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. Read the entire page →
From page 47... ... Freight, Freight trip, and Service trip Generation Models 47 Table 15. (Continued) Read the entire page →
From page 48... ... 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) Read the entire page →
From page 49... ... 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. Read the entire page →
From page 50... ... 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. Read the entire page →
From page 51... ... Freight, Freight trip, and Service trip Generation Models 51 Min. Read the entire page →
From page 52... ... 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) Read the entire page →
From page 53... ... Freight, Freight trip, and Service trip Generation Models 53 FTP (Vehicles/Day) as a Function of FP (Pounds/Day) Read the entire page →
From page 54... ... 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) Read the entire page →
From page 55... ... Freight, Freight trip, and Service trip Generation Models 55 FP (Pounds/Year) 3-Digit NAICS (Road Modes) Read the entire page →
From page 56... ... 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) Read the entire page →
From page 57... ... 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 ( ) Read the entire page →
From page 58... ... 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) Read the entire page →
From page 59... ... 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. Read the entire page →
From page 60... ... 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. Read the entire page →
From page 61... ... Freight, Freight trip, and Service trip Generation Models 61 FP (Pounds/Year) 2-Digit NAICS (Road Modes) Read the entire page →
From page 62... ... 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 ( ) Read the entire page →
From page 63... ... 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. Read the entire page →
From page 64... ... 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) Read the entire page →
From page 65... ... Freight, Freight trip, and Service trip Generation Models 65 FP (Pounds/Year) 3-Digit NAICS (All Modes) Read the entire page →
From page 66... ... 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) Read the entire page →
From page 67... ... Freight, Freight trip, and Service trip Generation Models 67 FP (Pounds/Year) 2-Digit NAICS (All Modes) Read the entire page →
From page 68... ... 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 ( ) Read the entire page →
From page 69... ... 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) Read the entire page →
From page 70... ... 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. Read the entire page →
From page 71... ... 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. Read the entire page →
From page 72... ... 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) Read the entire page →
From page 73... ... 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. Read the entire page →
From page 74... ... 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) Read the entire page →
From page 75... ... 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. Read the entire page →
From page 76... ... 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 ( ) Read the entire page →
From page 77... ... Freight, Freight trip, and Service trip Generation Models 77 FP Models, Texas (CFS) FP (Pounds/Year) Read the entire page →
From page 78... ... 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) Read the entire page →
From page 79... ... Freight, Freight trip, and Service trip Generation Models 79 FP (Pounds/Year) 2-Digit NAICS (Road Modes) Read the entire page →
From page 80... ... 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) Read the entire page →
From page 81... ... Freight, Freight trip, and Service trip Generation Models 81 FP (Pounds/Year) 2-Digit NAICS (All Modes) Read the entire page →
From page 82... ... 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. Read the entire page →
From page 83... ... Freight, Freight trip, and Service trip Generation Models 83 FP (Pounds/Year) 3-Digit NAICS (All Modes) Read the entire page →
From page 84... ... 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. Read the entire page →
From page 85... ... 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. Read the entire page →
From page 86... ... 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) Read the entire page →
From page 87... ... 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) Read the entire page →
From page 88... ... 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) Read the entire page →
From page 89... ... Freight, Freight trip, and Service trip Generation Models 89 `* a 212 Mining (except Oil and Gas) Read the entire page →
From page 90... ... 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 ( ) Read the entire page →
From page 91... ... Freight, Freight trip, and Service trip Generation Models 91 FP (Pounds/Year) 3-Digit NAICS (All Modes) Read the entire page →
From page 92... ... 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) Read the entire page →
From page 93... ... 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. Read the entire page →
From page 94... ... 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. Read the entire page →
From page 95... ... 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. Read the entire page →
From page 96... ... 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. Read the entire page →
From page 97... ... Freight, Freight trip, and Service trip Generation Models 97 FP (Pounds/Year) 3-Digit NAICS (All Modes) Read the entire page →
From page 98... ... 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) Read the entire page →
From page 99... ... Freight, Freight trip, and Service trip Generation Models 99 FP (Pounds/Year) 3-Digit NAICS (Road Modes) Read the entire page →
From page 100... ... 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) Read the entire page →
From page 101... ... 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 ( ) Read the entire page →
From page 102... ... 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) Read the entire page →
From page 103... ... 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. Read the entire page →
From page 104... ... 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. Read the entire page →
From page 105... ... Freight, Freight trip, and Service trip Generation Models 105 FP (Pounds/Year) 2-Digit NAICS (Road Modes) Read the entire page →
From page 106... ... 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. Read the entire page →
From page 107... ... Freight, Freight trip, and Service trip Generation Models 107 FP (Pounds/Year) 3-Digit NAICS (Road Modes) Read the entire page →
From page 108... ... 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. Read the entire page →
From page 109... ... 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. Read the entire page →
From page 110... ... 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) Read the entire page →
From page 111... ... Freight, Freight trip, and Service trip Generation Models 111 FP (Pounds/Year) 3-Digit NAICS (All Modes) Read the entire page →
From page 112... ... 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) Read the entire page →
From page 113... ... Freight, Freight trip, and Service trip Generation Models 113 FP (Pounds/Year) 3-Digit NAICS (Road Modes) Read the entire page →
From page 114... ... 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) Read the entire page →
From page 115... ... 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. Read the entire page →
From page 116... ... 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) Read the entire page →
From page 117... ... 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. Read the entire page →
From page 118... ... 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. Read the entire page →
From page 119... ... Freight, Freight trip, and Service trip Generation Models 119 FP (Pounds/Year) 2-Digit NAICS (Road Modes) Read the entire page →
From page 120... ... 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. Read the entire page →
From page 121... ... Freight, Freight trip, and Service trip Generation Models 121 FP (Pounds/Year) 3-Digit NAICS (Road Modes) Read the entire page →
From page 122... ... 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. Read the entire page →
From page 123... ... 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. Read the entire page →

From page 38...

... 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)