Quantitative analysis of the relationships between dockless bike sharing and public transport: A trip-level perspective

Meiping Yun, Wenxu Huang, Cen Zhang, Xi Yan and Jun Zheng

Transportation Research Part A: Policy and Practice, 2024, vol. 190, issue C

Abstract: The widespread expansion of dockless bike sharing (DBS) services has had non-negligible effects on public transport systems by establishing intricate connections with public transport modes, such as metro and bus. An accurate understanding of the intricate relationships between DBS and public transport is crucial for promoting synergistic operations and maximizing the benefits. This study presents a novel quantitative analysis methodology from a trip-level perspective based on multi-source data to explore the relationships between dockless bike sharing and public transport without reliance on geospatial thresholds. By utilizing a comprehensive dataset encompassing bike sharing service operations, public transit facilities, and optimal route choices, we introduce the concepts of degree of site proximity (DSP) and degree of trip substitution (DTS), which are designed to assess the opportunities for cooperation and competition in DBS trips. Clustering techniques categorize recorded trips into specific types: competition, cooperation, cooperation-competition, and independence. A survey of dockless bike sharing users in Shanghai, China was conducted to obtain data on usage of DBS and the alternative choices without DBS. A comparison between the survey results and the estimates from the proposed methodology validates its effectiveness. In-depth analyses of factors such as weekends, cycling distances, and station densities reveal patterns of variation in the relationship between DBS and public transport systems. These findings provide valuable insights for urban planners and policymakers to enhance the integration of DBS and public transport systems, thereby improving the overall efficiency and sustainability of urban transportation networks.

Keywords: Dockless bike sharing; Metro; Bus; Competition-cooperation relationship; Multiple data sources; Clustering (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0965856424003252
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:190:y:2024:i:c:s0965856424003252

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.tra.2024.104277

Access Statistics for this article

Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose

More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().