Making Trucks Count: Innovative Strategies for Obtaining Comprehensive Truck Activity Data (2014) / Chapter Skim
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Pages 9-17
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9 C H A P T E R 2 This chapter evaluates the current state of truck-activity data. Truck-activity data encompass many datasets and statistical reports.
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10 2.1.1 Commodity Flow Survey The CFS is the most comprehensive public tool for understanding U.S. freight flows.
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11 county level, but the statistical reliability of these techniques is highly suspect and remains to be thoroughly tested. Most, if not all, are based to some extent on County Business Patterns that, like the FAF, is a composite estimate of economic activity rather than direct observation.
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12 supports Traffic Volume Trend Reports, a monthly report of vehicle miles traveled for each state as deduced from the baseline HPMS data. HPMS uses ATRs to estimate percentages of single-unit and combination trucks; these estimates, in turn, can be used to develop VMT for these types of trucks (Beagan et al., 2007)
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13 little used in planning or research. This lack of use could be attributed to the lack of access to the data, although truck registration data have been provided upon request (Lawson et al., 2002)
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14 these data are not currently available for public research. Such data also are collected by each state transportation department, with availability varying by year.
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15 comparable and have different objectives, but can be used to provide an overview of the overlap. The MCMIS dataset and the two amalgamated datasets, FAF and Transearch, contain commodity, tons, and routing and volume.
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16 and engineers. Nevertheless, two characteristics of use offer some basis of comparison: completeness and timeliness.
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17 information than are currently "harvested" and used for statistical estimation. There is a great opportunity to help planners at all levels by creating tools that could make using these data more intuitive.
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