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The complementary effect of ride-sharing on public transit: evidence from a natural experiment.
- Source :
- Industrial Management & Data Systems; 2023, Vol. 123 Issue 7, p1911-1935, 25p
- Publication Year :
- 2023
-
Abstract
- Purpose: Identifying the complementary effects of ride-sharing on public transit is critical to understanding the potential value of growing partnerships between public transit agencies and ride-sharing platforms. The purpose of this paper is to investigate whether and how ride-sharing services complement public transit. Design/methodology/approach: Taking advantage of a natural experiment whereby subway Line 2 opened after the entry of ride-sharing services in Xiamen, this study uses a difference-in-differences approach to identify the complementary effects of ride-sharing on public transit based on a proprietary fine-grained trip-level data set from a large ride-sharing platform. Findings: This study obtained the encouraging finding that ride-sharing has a significant complementary effect on the subway, as the number of ride-sharing pickups and drop-offs at subway stations increased by 130% and 117.9%, respectively, after the subway opening. Moreover, mechanism analysis shows that the complementary effect of ride-sharing services is stronger when connection distance is short (i.e. under 6 km) and when the transportation availability is limited (i.e. at night or in the areas with low transit supply and low population density). Practical implications: The findings provide guidelines for promoting cooperation between public transit agencies and ride-sharing platforms to build an efficient and sustainable urban transport system. Originality/value: This study is the first to examine the complementary effect of ride-sharing services on public transit via unique fine-grained ride-sharing trips data, and further reveal the underlying mechanism behind this effect. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02635577
- Volume :
- 123
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Industrial Management & Data Systems
- Publication Type :
- Academic Journal
- Accession number :
- 164494237
- Full Text :
- https://doi.org/10.1108/IMDS-08-2022-0487