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原文传递 Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand

题名：	Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand
作者：	empty
关键词：	Traffic congestion##Costs##Travel demand##Drivers##Roadway systems##Traffic forecasts##Road tolls##Road pricing##
摘要：	Driver response to congestion and road pricing is an essential element to forecasting the future use of roadway systems and estimating the effect that pricing has on demand and route choice. Though many studies have been conducted in the past and revenue studies are routinely done for proposed toll roads, there is still a need for improving the behavioral basis for forecast. The objective of this project was to develop mathematical descriptions of the full range of highway user behavioral responses to congestion, travel time reliability, and pricing. These descriptions were achieved by mining existing data sets. The report estimates a series of nine utility equations, progressively adding variables of interest. This research explores the effect on demand and route choice of demographic characteristics, car occupancy, value of travel time, value of travel time reliability, situational variability, and an observed toll aversion bias. The primary audience for this research is professionals who develop travel demand and traffic forecasts. Policy makers may also have an interest in the behavioral findings that could have policy implications. Equations for commercial drivers were not developed since their routes are normally determined, in part, by contracts and company policies.
总页数：	193
报告类型：	科技报告