How does ridesourcing substitute for public transit? A geospatial perspective in Chengdu, China

Hui Kong, Xiaohu Zhang, Jinhua Zhao

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The explosive growth of ridesourcing services has stimulated a debate on whether they represent a net substitute for or a complement to public transit. Among the empirical evidence that supports discussion of the net effect at the city level, analysis at the disaggregated level from a geospatial perspective is lacking. Besides, it remains unexplored the spatiotemporal pattern of ridesourcing's effect on public transit, and the factors that impact the effect. Using DiDi Chuxing data in Chengdu, China, this paper develops a three-level structure to recognize the potential substitution or complementary effects of ridesourcing on public transit. Furthermore, this paper investigates the effects through exploratory spatiotemporal data analysis, and examines the factors influencing the degree of substitution via linear, spatial autoregressive, and zero-inflated beta regression models. The results show that 33.1% of DiDi trips have the potential to substitute for public transit. The substitution rate is higher during the day (8:00–18:00), and the trend follows changes in public transit coverage. The substitution effect is more exhibited in the city center and the areas covered by the subway, while the complementary effect is more exhibited in suburban areas as public transit has poor coverage. Further examination of the factors impacting the relationship indicates that housing price is positively associated with the substitution rate, and distance to the nearest subway station has a negative association with it, while the effects of most built environment factors become insignificant in zero-inflated beta regression. Based on these findings, policy implications are drawn regarding the partnership between transit agencies and ridesourcing companies, the spatial-differentiated policies in the central and suburban areas, and the potential problems in providing ridesourcing service to the economically disadvantaged population.

Original languageEnglish (US)
Article number102769
JournalJournal of Transport Geography
Volume86
DOIs
StatePublished - Jun 2020
Externally publishedYes

Bibliographical note

Funding Information:
The research is supported by the National Research Foundation (NRF), the CREATE Programme from the Singapore Prime Minister's Office, and the Singapore-MIT Alliance for Research and Technology (SMART) Centre, Future Urban Mobility (FM) Interdisciplinary Research Group. The DiDi trip data is shared by DiDi Chuxing GAIA Initiative (https://gaia.didichuxing.com). The authors would like to thank Baichuan Mo for helping with the public transit travel time estimation.

Funding Information:
The research is supported by the National Research Foundation (NRF), the CREATE Programme from the Singapore Prime Minister's Office , and the Singapore-MIT Alliance for Research and Technology (SMART) Centre , Future Urban Mobility (FM) Interdisciplinary Research Group . The DiDi trip data is shared by DiDi Chuxing GAIA Initiative ( https://gaia.didichuxing.com ). The authors would like to thank Baichuan Mo for helping with the public transit travel time estimation.

Publisher Copyright:
© 2020 Elsevier Ltd

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Complementary
  • DiDi
  • Public transit
  • Ridesourcing
  • Substitution

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