Improving Ridership Projections of Proposed Bus and Rail Transit Projects to Evaluate Congestion Reduction Effects
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2023-06-01
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Edition:Final Report
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Abstract:Transit ridership data comprise one of the performance metrics examined when allocating funding to transportation projects, especially for those designed to reduce traffic congestion. The better the quality of the data, the more efficient the project prioritization process. The purpose of this study was to obtain better ridership data by answering three questions using Virginia-based data: How is transit ridership affected by changes to infrastructure and transit service such as the addition of real-time information systems, shelters, and lighting or increases in service frequency? What percentage of transit ridership occurs during peak hours of congestion? How does crowdsourced transit activity data compare to ridership data from Virginia transit agencies? Study methods included conducting extensive literature reviews to determine previous findings related to ridership effects of stop improvements and then conducting a before-after study in Virginia using ridership data from one Virginia transit agency.
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