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Investigating user preferences for dockless bike- and electric bike-sharing through tracking usage patterns

Author

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  • Liu, Yang
  • Li, Liqiong
  • Liu, Kai
  • He, Mingwei
  • Shi, Zhuangbin

Abstract

The integration of electric bikes has significantly boosted the popularity of shared micro-mobility. To promote the coordinated development of dockless bike-sharing (DBS) and electric bike-sharing (EBS), it is crucial to analyze the mechanisms influencing user preferences. However, capturing accurate usage patterns of users remains a challenge, hindering the optimization of shared micro-mobility services. Using one month of shared cycling order data from Kunming in 2022, this study tracks user travel patterns and categorizes them into three types: DBS-dominant, balanced, and EBS-dominant. To investigate the underlying mechanisms influencing these preferences, the study initially applies HDBSCAN clustering to identify users' frequent travel locations. A weighted Gradient Boosting Decision Trees (GBDT) model is employed to reveal the nonlinear relationship between explanatory variables and user preference types. The model considers factors from the perspectives of travel characteristics, built environment, and shared infrastructure systems. Results indicate that travel characteristics and the built environment significantly affect users' travel preferences. DBS-dominant users prefer short-distance, high-frequency trips, particularly in the Central Business District (CBD) and areas with complex road conditions. In contrast, EBS-dominant users favor long-distance travel and prolonged use, particularly in areas farther from the CBD. Balanced users exhibit flexibility, switching between DBS and EBS based on specific needs and conditions to maximize convenience. Targeted policy measures are proposed for various user groups to improve travel services and support the integrated development of the DBS and EBS systems. This study not only provides scientific decision-making support for shared mobility services but also assists market operators in refining their offerings.

Suggested Citation

  • Liu, Yang & Li, Liqiong & Liu, Kai & He, Mingwei & Shi, Zhuangbin, 2025. "Investigating user preferences for dockless bike- and electric bike-sharing through tracking usage patterns," Transport Policy, Elsevier, vol. 169(C), pages 41-55.
    • Handle: RePEc:eee:trapol:v:169:y:2025:i:c:p:41-55
    DOI: 10.1016/j.tranpol.2025.04.025
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    1. Braun, Lindsay M. & Rodriguez, Daniel A. & Cole-Hunter, Tom & Ambros, Albert & Donaire-Gonzalez, David & Jerrett, Michael & Mendez, Michelle A. & Nieuwenhuijsen, Mark J. & de Nazelle, Audrey, 2016. "Short-term planning and policy interventions to promote cycling in urban centers: Findings from a commute mode choice analysis in Barcelona, Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 164-183.
    2. Jiageng, Niu & Lanlan, Zheng & Xianghong, Li, 2022. "A study on the trip behavior of shared bicycles and shared electric bikes in Chinese universities based on NL model—Henan Polytechnic University as an example," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    3. 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).
    4. Yiling Deng & Pengjun Zhao, 2023. "The determinants of shared bike use in China," Transportation, Springer, vol. 50(1), pages 1-23, February.
    5. Ding, Chuan & Cao, Xinyu (Jason) & Næss, Petter, 2018. "Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 107-117.
    6. Morton, Craig & Kelley, Scott & Monsuur, Fredrik & Hui, Tianwen, 2021. "A spatial analysis of demand patterns on a bicycle sharing scheme: Evidence from London," Journal of Transport Geography, Elsevier, vol. 94(C).
    7. Cheng, Long & Wang, Kailai & De Vos, Jonas & Huang, Jie & Witlox, Frank, 2022. "Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 175-187.
    8. Caigang, Zhuang & Shaoying, Li & Zhangzhi, Tan & Feng, Gao & Zhifeng, Wu, 2022. "Nonlinear and threshold effects of traffic condition and built environment on dockless bike sharing at street level," Journal of Transport Geography, Elsevier, vol. 102(C).
    9. Ma, Xinwei & Ji, Yanjie & Yuan, Yufei & Van Oort, Niels & Jin, Yuchuan & Hoogendoorn, Serge, 2020. "A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 148-173.
    10. Ji, Shujuan & Liu, Xiaojie & Wang, Yuanqing, 2024. "The role of road infrastructures in the usage of bikeshare and private bicycle," Transport Policy, Elsevier, vol. 149(C), pages 234-246.
    11. Bi, Hui & Li, Aoyong & Hua, Mingzhuang & Zhu, He & Ye, Zhirui, 2022. "Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai," Transport Policy, Elsevier, vol. 129(C), pages 51-65.
    12. Nikolaos-Fivos Galatoulas & Konstantinos N. Genikomsakis & Christos S. Ioakimidis, 2020. "Spatio-Temporal Trends of E-Bike Sharing System Deployment: A Review in Europe, North America and Asia," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
    13. Yang, Hongtai & Zheng, Rong & Li, Xuan & Huo, Jinghai & Yang, Linchuan & Zhu, Tong, 2022. "Nonlinear and threshold effects of the built environment on e-scooter sharing ridership," Journal of Transport Geography, Elsevier, vol. 104(C).
    14. Kong, Hui & Chao, Hao & Fu, Wenyan & Lin, Diao & Zhang, Yongping, 2025. "Relationship between shared micromobility and public transit: The differences between shared bikes and shared E-bikes," Journal of Transport Geography, Elsevier, vol. 123(C).
    15. Fishman, Elliot & Washington, Simon & Haworth, Narelle & Watson, Angela, 2015. "Factors influencing bike share membership: An analysis of Melbourne and Brisbane," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 17-30.
    16. Wang, Jueyu & Lindsey, Greg, 2019. "Do new bike share stations increase member use: A quasi-experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 1-11.
    17. Chahine, Ricardo & Duarte, Jorge & Gkritza, Konstantina, 2025. "Effect of protected bike lanes on bike-sharing ridership: A New York City case study," Journal of Transport Geography, Elsevier, vol. 123(C).
    18. Mateo-Babiano, Iderlina & Bean, Richard & Corcoran, Jonathan & Pojani, Dorina, 2016. "How does our natural and built environment affect the use of bicycle sharing?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 295-307.
    19. Faghih-Imani, Ahmadreza & Eluru, Naveen & El-Geneidy, Ahmed M. & Rabbat, Michael & Haq, Usama, 2014. "How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal," Journal of Transport Geography, Elsevier, vol. 41(C), pages 306-314.
    20. Younes, Hannah & Zou, Zhenpeng & Wu, Jiahui & Baiocchi, Giovanni, 2020. "Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 308-320.
    21. Xing, Yingying & Wang, Ke & Lu, Jian John, 2020. "Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 87(C).
    22. Caulfield, Brian & O'Mahony, Margaret & Brazil, William & Weldon, Peter, 2017. "Examining usage patterns of a bike-sharing scheme in a medium sized city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 152-161.
    23. Ziwen Ling & Christopher R. Cherry & John H. MacArthur & Jonathan X. Weinert, 2017. "Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States," Sustainability, MDPI, vol. 9(9), pages 1-18, September.
    24. Huo, Jinghai & Yang, Hongtai & Li, Chaojing & Zheng, Rong & Yang, Linchuan & Wen, Yi, 2021. "Influence of the built environment on E-scooter sharing ridership: A tale of five cities," Journal of Transport Geography, Elsevier, vol. 93(C).
    25. 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).
    26. Ding, Chuan & Cao, Xinyu & Liu, Chao, 2019. "How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds," Journal of Transport Geography, Elsevier, vol. 77(C), pages 70-78.
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