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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Pages 31-37
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31 This chapter provides the reader with actionable information about how to use the guidebook models. It describes potential uses of the guidebook models and summarizes the various steps to apply them in the context of practical applications.
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32 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips • Case 2: Only aggregate data are available. This situation occurs with official employment statistics that are only released as aggregate numbers (e.g., the ZIP Code Business Patterns database, and in planning applications for which it usually is not possible to forecast establishmentlevel estimates of employment)
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how to apply the Models 33 If no data are available, the FTE for comparable establishments from the same industry sector and size can be used. FTE Number of full-time employees + Number of part-time employees 0.45 (17)
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34 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips To gain insight into the practical range of conversion factors, the team conducted informal interviews with carriers. The suggested values, together with the units of the outputs produced by the different types of models are shown in Table 7.
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how to apply the Models 35 FTA in that, generally speaking, it is difficult to consolidate service calls. For this reason, a conversion factor of fA = 1 is suggested.
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36 Using Commodity Flow Survey Microdata and Other establishment Data to estimate the Generation of Freight, Freight trips, and Service trips Scenario 1: Single Establishment (Establishment-Level Data Available, Linear/Non-Linear Models) For each one of the metrics desired: - Use Table 8 to identify the table(s)
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how to apply the Models 37 Scenario 3: Sample Estimation (Multiple Establishments; Establishment-Level Data Available for a Sample; Linear/Non-Linear Models) For the establishments in the sample: - Sort the establishment data by industry sector.
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