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Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns

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  • Kim, Minjun
  • Cho, Gi-Hyoug

Abstract

Studies on bike-share programs have dramatically increased during the past decades. While numerous studies have examined various factors affecting bike-share demand at the station-level, few attempts have been made to understand bike-share ridership at the origin-destination (OD) level due to technical difficulties. The objective of this study is to examine whether existing public transit characteristics affect bike-share ridership at OD-level. We combined three datasets: (1) bike-share ridership data, (2) land-use and bike-transit infrastructure, and (3) bike-transit route characteristics between OD pairs of bike stations. Zero-inflated negative binomial (ZINB) regression models were used for the analysis. Our results showed that the travel distance between OD bike stations, land-use compositions, and the existence of bike-friendly infrastructures were significant factors determining bike-share ridership at the OD-level. In particular, a longer duration of public transit trips than bike-share, and more transit transfers, were associated with bike-share ridership. Further, this study showed that bike-share and public transit might compete with or promote each other, even within the city. The study's findings suggest that the relative efficiency of bike-share compared to public transit is highly associated with bike-share demand and help to increase the utility of bike-share system in response to several limitations of existing public transit networks.

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  • Kim, Minjun & Cho, Gi-Hyoug, 2021. "Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns," Journal of Transport Geography, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:jotrge:v:93:y:2021:i:c:s0966692321001009
    DOI: 10.1016/j.jtrangeo.2021.103047
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    4. Chung, Jaehoon & Yao, Enjian & Pan, Long & Ko, Joonho, 2024. "Understanding the route choice preferences of private and dock-based public bike users using GPS data in Seoul, South Korea," Journal of Transport Geography, Elsevier, vol. 116(C).
    5. Xiaoyu Zhang & Chunfu Shao & Bobin Wang & Shichen Huang, 2022. "The Impact of COVID-19 on Travel Mode Choice Behavior in Terms of Shared Mobility: A Case Study in Beijing, China," IJERPH, MDPI, vol. 19(12), pages 1-19, June.
    6. Lv, Huitao & Li, Haojie & Chen, Yanlu & Feng, Tao, 2023. "An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning," Journal of Transport Geography, Elsevier, vol. 113(C).
    7. Qiu, Waishan & Chang, Hector, 2021. "The interplay between dockless bikeshare and bus for small-size cities in the US: A case study of Ithaca," Journal of Transport Geography, Elsevier, vol. 96(C).

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