Optimizing Transit Equity and Accessibility by Integrating Relevant GTFS Data Performance Metrics
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2020-09-01
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Corporate Contributors:University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
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Edition:Final
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Abstract:This research develops and recommends practical optimization models for improving transit equity and accessibility for people by integrating performance metrics with using General Transit Feed Specification (GTFS) data. In such sense, two optimization models under two different conditions (with limited budget and without limited budget) for improving the public transit equity of blockgroups suffering transit deficiency are built. A case study in the City of Charlotte is conducted and the associating comprehensive numerical results and analyses based on the proposed models are provided. This research also develops guidelines and recommends best practices for the use of GTFS data as a main data source to better develop mathematical optimization models for improving public transit equity and accessibility.
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