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This report provides detailed technical documentation supporting the Report to Congress on the study called for in Section 4027 of the Transportation Equity Act for the 21st Century to “determine the location and quantity of parking facilities as commercial truck stops and travel plazas and public rest areas that could be used by motor carriers to comply with Federal hours of service rules.” The report details the development and validation of a model for estimating commercial truck parking demand.
Janet A. Coleman Director, Office of Safety Programs Safety Core Business Unit |
Michael F. Trentacoste Director, Office of Safety Research and Development |
NOTICE
This document is disseminated under the sponsorship of the Department of Transportation in the interest of information exchange. The United States Government assumes no liability for its contents or use thereof. This report does not constitute a standard, specification, or regulation.
The United States Government does not endorse products or manufacturers.Trade and manufacturers’ names appear in this report only because they are considered essential to the object of the document.
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16. Abstract The parking demand model developed for this study estimates parking demand for a highway segment (defined by the analyst) rather than a single parking facility.The model incorporates a variety of factors known to affect the demand for truck parking, which include:traffic engineering factors (e.g., annual average daily traffic, travel time, peak hour factors), truck driver behaviors (e.g., time spent loading/unloading, time spent at home, time spent resting at shipper/receiver), and Federal hours-of-service regulations (e.g., a maximum 70 hours on duty in eight days). A step-by-step method for selecting analysis segments and applying the model is presented. The first step in alleviating parking shortages is to identify the locations where shortages exist. The demand model is a good first step in achieving this goal.Overall, the model produces acceptable estimates of parking space demand. For 29 segments where parking counts were conducted, the model error was only –2 percent, an estimate within 269 spaces of the observed parked trucks. However, the model is not microscopic enough to always accurately predict segment-specific demand. This is because the model does not consider a number of factors that can affect the local distribution of demand (e.g., proximity to distribution centers that results in “staging,” proximity to other parking facilities that absorb demand, and factors that affect the short-haul/long-haul ratio).Because of these limitations, the model should be used as a guideline for identifying possible locations of parking shortages that can be evaluated more carefully through additional study and field observations. |
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