Exploring the contributions of Ebike ownership, transit access, and the built environment to car ownership in a developing city

Shan Sun, Liang Guo, Shuo Yang, Jason Cao

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

While many studies examine the correlates of car ownership, only a few have quantified the relative contributions of individuals' socio-economic characteristics, alternative transportation choices, and built environment attributes to car ownership in developing cities. By employing gradient boosting decision trees to the 2020 regional household travel survey data from Wuhan, a megacity in China, we estimated the respective impacts of these factors on car ownership. The results of this study highlight household wealth as the dominant factor in predicting car ownership. Additionally, the ownership of Ebikes, an alternative travel option, emerges as an important mitigator of car ownership. However, most transit and built environment variables contribute marginally to the prediction of car ownership – though an exception is to direct future development into inner city neighborhoods. The findings suggest that Ebikes not only serve as a crucial alternative to cars but also complement limited transit services. Therefore, in developing cities with growing economies, banning Ebikes would not be conducive to curbing car growth.

Original languageEnglish (US)
Article number103834
JournalJournal of Transport Geography
Volume116
DOIs
StatePublished - Apr 2024

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Ltd

Keywords

  • Auto ownership
  • Ebike ban
  • Land use
  • Machine learning
  • Nonlinear relationships

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