Modeling Transit Accessibility Impacts on Transit Ridership
ID:1689 View Protection:ATTENDEE Updated Time:2021-12-03 13:43:54 Hits:205 Poster Presentation

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Abstract
This paper explores the impact of transit accessibility on the transit use by disadvantaged populations. The transit service coverage by walking and biking is estimated based on a mode-related distance decay function that depicts the transit use deterioration with the increasing distance to transit stops. In this study, the relationship of transit share of commuting trips and first-and-last mile access, socioeconomic characteristics, built environment, and other transit related variables are developed by using the geographically weighted regression (GWR) technique. The GWR deals with the spatial-autocorrelation and yields better accuracy compared with other conventional approaches. The surveyed workers’ commuting data in Hamilton County, Ohio has been used in the modeling tests. The results indicate strong and positive influence of the transit service coverage on the transit use, implying great benefits of the improved transit accessibility for disadvantaged groups to expose them to more job opportunities.
Keywords
CICTP
Speaker
Chun Zhang
University of Cincinnati

Submission Author
Chun Zhang University of Cincinnati
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Important Date
  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Chang'an University
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