Commute mode share and access to jobs across US metropolitan areas

Hao Wu, David Levinson, Andrew Owen

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

How much of the variation in transit mode share is attributable to accessibility is not well understood, despite its significant policy implications. It is hypothesized that better transit accessibility leads to higher transit mode share. This paper explains block group level transit mode share using transit accessibility in a logistic model for 48 major US metropolitan areas. Transit accessibility alone explains much of the variation in transit mode share for all 48 regions despite their geographical differences (adjusted R2 0.61, potential accessibility); models for individual cities have stable and interpretable parameters for transit accessibility. The models better explain mode share in cities with higher person weighted transit accessibility and larger populations; an adjusted R2 of 0.76 is achieved for New York City with transit accessibility as the only explanatory variable. Additional automobile accessibility and income variables modestly improve model fit. Time–decay functions fitted to accessibility measures better explain mode choice than the isochrone accessibility, and suggest the catchment area affecting transit mode choice to be within 35 minutes. This work contributes to the understanding of transit mode share by solidifying its link with accessibility, which is determined by the structure of the transport network and land development.

Original languageEnglish (US)
Pages (from-to)671-684
Number of pages14
JournalEnvironment and Planning B: Urban Analytics and City Science
Volume48
Issue number4
DOIs
StatePublished - May 2021

Bibliographical note

Publisher Copyright:
© The Author(s) 2019.

Keywords

  • Access
  • continuous accessibility
  • transit mode share

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