The sustainability appeal of urban rail transit

Enhui Chen, Yang Liu, Min Yang, Zhirui Ye, Yu (Marco) Nie*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Urban rail transit (URT) has expanded rapidly since the dawn of the century. Here we examine the impact of URT development on bus service supply and usage, auto ownership, and traffic congestion, by applying fixed-effects panel regression to time series data sets compiled for major urban areas in China and the US. We find that URT development is strongly and negatively correlated with auto ownership in both countries, after controlling for standard social-economic and natural/built environment variables. Importantly, the impact transpires only after a URT system reaches a tipping point that sets in motion a network effect. We also uncover strong evidence of cannibalization by URT of bus market share in both countries. However, rather than undermining the supply of bus services, developing URT is strongly and positively correlated with its growth and adaptation. Finally, no de-congestion benefit of URT is detected in the data. In the US where the analysis is performed, URT development is significantly associated with worsening traffic conditions.

Original languageEnglish (US)
Article number104152
JournalTransportation Research Part A: Policy and Practice
Volume186
DOIs
StatePublished - Aug 2024

Funding

This work is supported by the Fundamental Research Funds for the Central Universities and the Singapore Ministry of Education Academic Research Fund Tier 2 ( MOE2019-T2-2-165 ). The effort of the corresponding author is partially funded by the US National Science Foundation under the award number 2127678 .

Keywords

  • Auto ownership
  • Network effect
  • Sustainability
  • Urban rail transit

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Business, Management and Accounting (miscellaneous)
  • Transportation
  • Aerospace Engineering
  • Management Science and Operations Research

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