摘要: |
The private sector is largely responsible for development and management of the nation's freight flow system, but public agencies at all levels face important investment and policy decisions that may affect those flows. Decision makers need to understand the large and shifting increases in traffic generated, for example, by ports, inland terminals, and mega-destination centers. The U.S. Department of Transportation in 2004 launched the Freight Model Improvement Program (FMIP) as a joint effort with the U.S. Department of Agriculture, the U.S. Department of Energy, and the U.S. Army Corps of Engineers, and with support from the Oak Ridge National Laboratory. Each of these agencies has developed models for national-level analysis in support of their own unique missions. Some state and regional agencies have undertaken their own modeling efforts. The Florida Intermodal Statewide Highway Freight Model, for example, is intended to serve as a planning tool to support the state's efforts to provide adequate highway connections to other freight modes and regional freight hubs. Agencies in Ohio and Oregon are pursuing similar efforts. The Los Angeles County Metropolitan Transportation Authority is one of several metropolitan agencies developing and using models for truck traffic in their regions. Other regional and local agencies such as port and toll-road authorities also model the markets they serve. Given the growth in freight and its importance to national, state, and regional economies, public-sector agencies need improved capabilities to analyze freight demand. The objective of this project is to (a) investigate, identify, and report on high-priority, high-payoff improvements in freight-demand models and other analysis tools and (b) develop a guidebook to assist model developers in implementing these improvements. This project will select one or more of the highest-priority, high-payoff recommendations and develop a comprehensive process to implement the improvement. The recommendations included in the guidebook will ultimately improve the usability of freight-demand models and other analysis tools for public-sector decision makers at a range of geographical levels. The guidebook will relate freight-demand models and other analysis tools to planning; engineering; construction; and use of infrastructure, finance, environmental mitigation, systems operation, and economic impact. |