Optimizing Transit Equity and Accessibility by Integrating Relevant GTFS Data Performance Metrics

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.

• Record URL:
  https://cammse.uncc.edu/sites/cammse.uncc.edu/files/media/CAMMSE-UNCC-2019-UTC-Project-Report-02-Fan-Final.pdf
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Center for Advanced Multimodal Mobility Solutions and Education

  University of North Carolina, Charlotte
  Charlotte, NC  United States  28223

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Fan, Wei
  • 0000-0001-9815-710X
  • Li, Yang
  • 0000-0001-5358-7835
• Publication Date: 2020-9

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Maps; References; Tables;
• Pagination: 53p

Subject/Index Terms

• TRT Terms: Accessibility; Case studies; Equity (Justice); Optimization; Performance measurement; Public transit
• Identifier Terms: General Transit Feed Specification (GTFS)
• Geographic Terms: Charlotte (North Carolina)
• Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; Society;

Filing Info

• Accession Number: 01760111
• Record Type: Publication
• Contract Numbers: 2019 Project 02
• Files: UTC, TRIS, ATRI, USDOT
• Created Date: Dec 1 2020 10:21AM