Technical Papers
Jul 22, 2020

Modeling and Evaluating Public Transit Equity and Accessibility by Integrating General Transit Feed Specification Data: Case Study of the City of Charlotte

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 10

Abstract

This study models and evaluates the accessibility to public transit and public transit equity by integrating the general transit feed specification (GTFS) data. A transit gap index (TGI) and a geographic information system (GIS)-based methodology are developed to conduct the assessment. The TGI is developed by taking into consideration demographic features, as well as spatial and temporal transit service characteristics. A case study in the city of Charlotte is conducted and a comprehensive gap analysis based on the proposed methodology is performed. Results show that the transit supply provides higher service coverages in the central business district of Charlotte and decreases as the distance to downtown Charlotte increases. Most of the identified transit-dependent areas are suburban and rural communities located on the fringe of the city. A sensitivity analysis is also conducted to examine the impact of different walking distances on transit gaps. Guidelines are developed and best-practice recommendations for the use of GTFS data as a main data source are made to better understand and assess public transit equity and accessibility for public transportation planning and operation. Several policy implications are also drawn in terms of enhancing the public transit system equity and accessibility.

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Data Availability Statement

Some or all data, models, or code used during the study were provided by third parties (including the US Census Bureau, NCDOT, NC OneMap, and TRANSITLAND). All links to data are provided in text and references. All data are free online, and others will be able to access these data in the same manner as the authors. The authors did not have any special access privileges.

Acknowledgments

The authors want to express their deepest gratitude for the financial support from the DOT, University Transportation Center through the Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE) at The University of North Carolina at Charlotte (Grant No. 69A3551747133).

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Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 146Issue 10October 2020

History

Received: Nov 13, 2019
Accepted: May 4, 2020
Published online: Jul 22, 2020
Published in print: Oct 1, 2020
Discussion open until: Dec 22, 2020

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Authors

Affiliations

INES Ph.D. Research Assistant, USDOT Center for Advanced Multimodal Mobility Solutions and Education, Dept. of Civil and Environmental Engineering, Univ. of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223. ORCID: https://orcid.org/0000-0001-5358-7835. Email: [email protected]
P.E.
Director, USDOT Center for Advanced Multimodal Mobility Solutions and Education, Professor, Dept. of Civil and Environmental Engineering, Univ. of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223 (corresponding author). ORCID: https://orcid.org/0000-0001-9815-710X. Email: [email protected]

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