Shared-use mobility competition: a trip-level analysis of taxi, bikeshare, and transit mode choice in Washington, DC

Timothy F. Welch, Steven R. Gehrke, Alyas Widita

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

The emergence of new shared-use mobility options such as bikeshare and ride-hailing services render the traditional dichotomy between personal vehicles and public transit somewhat irrelevant. Transportation planners and policymakers have yet to conclude whether these mobility technologies are complementing or competing against existing public transit services. The understanding of this relationship is vital given the increasing uncertainty of funding sources for transit services, but limited by the scarcity of meaningful data provided by the private ride-hailing industry. This study applies big data analytic tools on a unique travel data set to uncover the predictors motivating a half-billion transit, taxi, and bikeshare trips in rail station walksheds across Washington, DC. Study findings indicate travel cost and natural environment factors as well as land use diversity and network connectivity metrics significantly impact the likelihood for an individual to travel via taxi or bikeshare rather than rail.

Original languageEnglish (US)
Pages (from-to)43-55
Number of pages13
JournalTransportmetrica A: Transport Science
Volume16
Issue number1
DOIs
StatePublished - Dec 20 2020
Externally publishedYes

Keywords

  • big data
  • bikeshare
  • mode choice
  • public transit
  • Taxi ridership

ASJC Scopus subject areas

  • Transportation
  • Engineering(all)

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