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原文传递 Integrating Multimodal Network Data into Benefit-Cost Analysis for Transportation Planning and Public Policy.

题名：	Integrating Multimodal Network Data into Benefit-Cost Analysis for Transportation Planning and Public Policy.
作者：	Holian, M.; McLaughlin, R.
关键词：	Transportation planning, Benefit-Cost Analysis (BCA), Multimodal, Transit, Public policy, Recommendations, Case studies, Transportation funds, Concrete solutions, Mineta National Transportation Research Consortium, California Department Transportation (DOT)
摘要：	Federal, state and local governments allocate billions of dollars in transportation funds each year. One useful tool for helping to decide which projects are best investments is Benefit-Cost Analysis (BCA). Ideally, BCA takes into account all impacts of a decision, and provides a way of selecting investments that maximize social welfare. However, in practice even the best BCAs only measure select impacts. This project develops methods of improving BCA by better integrating data from multimodal transportation network. It considers both BCA for evaluating past policy decisions, and BCA for planning and programming future transportation investments. We identify shortcomings of existing models, and propose, implement and evaluate concrete solutions. Case studies in transportation planning focus on the California Department of transportation (DOT), but benchmark California's competencies by exploring methods used by other states and local governments. In addition, while the focus is on BCA output as a concrete example of the type of performance measure that may suffer from data integration problems, we also consider other important models used by DOTs, especially travel demand models. The conclusion lists all recommendations for improving transportation planning through more integrated models. These will have immediate use to Caltrans as it considers directions for developing new planning capabilities. In addition by fitting the planning models we explore in the broader context of transportation planning and policy, the report will also serve as a valuable resource for analysis, managers and others who are interested in better understanding BCA methods and their use.
报告类型：	科技报告