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Associations of built environments with spatiotemporal patterns of public bicycle use

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  • Liu, Hung-Chi
  • Lin, Jen-Jia

Abstract

This study examines the association of built environment attributes with spatiotemporal patterns of public bicycle use. The study observations are based on the rental records of YouBike, which is a public bicycle system (PBS) in Taipei Metropolitan Area, Taiwan, from July to December 2015. A hierarchical clustering method is applied to identify the spatiotemporal patterns of YouBike use, and multinomial logit regression is used to clarify the associations. Empirical results indicate that the spatiotemporal patterns of PBS utilization differ in weekdays and holidays and are associated with locations, land use and facilities in a city. The empirical evidence fills the knowledge gap on the factors associated with the spatiotemporal patterns of PBS use and provides system operators with a valuable basis for the integrated planning and management of PBSs and built environments.

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  • Liu, Hung-Chi & Lin, Jen-Jia, 2019. "Associations of built environments with spatiotemporal patterns of public bicycle use," Journal of Transport Geography, Elsevier, vol. 74(C), pages 299-312.
    • Handle: RePEc:eee:jotrge:v:74:y:2019:i:c:p:299-312
    DOI: 10.1016/j.jtrangeo.2018.12.010
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    3. Namkung, Ok Stella & Park, Jonghan & Ko, Joonho, 2023. "Public bike users’ annual travel distance: Findings from combined data of user survey and annual rental records," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
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    5. Liu, Hung-Chi & Lin, Jen-Jia, 2022. "Associations of built environments with spatiotemporal patterns of shared scooter use: A comparison with shared bike use," Transport Policy, Elsevier, vol. 126(C), pages 107-119.
    6. Xavier Bach & Carme Miralles-Guasch & Oriol Marquet, 2023. "Spatial Inequalities in Access to Micromobility Services: An Analysis of Moped-Style Scooter Sharing Systems in Barcelona," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    7. Dong, Xiaoyang & Zhang, Bin & Wang, Zhaohua, 2023. "Impact of land use on bike-sharing travel patterns: Evidence from large scale data analysis in China," Land Use Policy, Elsevier, vol. 133(C).
    8. Yi Yao & Yifang Zhang & Lixin Tian & Nianxing Zhou & Zhilin Li & Minggang Wang, 2019. "Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    9. Wang, Yacan & Li, Jingjing & Su, Duan & Zhou, Huiyu, 2023. "Spatial-temporal heterogeneity and built environment nonlinearity in inconsiderate parking of dockless bike-sharing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    10. Willberg, Elias & Salonen, Maria & Toivonen, Tuuli, 2021. "What do trip data reveal about bike-sharing system users?," Journal of Transport Geography, Elsevier, vol. 91(C).
    11. Schimohr, Katja & Scheiner, Joachim, 2021. "Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption," Journal of Transport Geography, Elsevier, vol. 92(C).
    12. Hui Bi & Zhirui Ye & He Zhu, 2024. "Mining bike sharing trip record data: a closer examination of the operating performance at station level," Transportation, Springer, vol. 51(3), pages 1015-1041, June.
    13. Xueying Wu & Yi Lu & Yaoyu Lin & Yiyang Yang, 2019. "Measuring the Destination Accessibility of Cycling Transfer Trips in Metro Station Areas: A Big Data Approach," IJERPH, MDPI, vol. 16(15), pages 1-16, July.
    14. Song, Jie & Zhang, Liye & Qin, Zheng & Ramli, Muhamad Azfar, 2021. "Where are public bikes? The decline of dockless bike-sharing supply in Singapore and its resulting impact on ridership activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 72-90.

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