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Improving the service of E-bike sharing by demand pattern analysis: A data-driven approach

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  • Zhang, Ziru
  • Krishnakumari, Panchamy
  • Schulte, Frederik
  • van Oort, Niels

Abstract

In recent years, there has been a surge in the popularity of free-floating e-bike sharing. However, the shared mobility sector is fiercely competitive demanding, efficient operations and high-quality service to cater to user expectations.

Suggested Citation

  • Zhang, Ziru & Krishnakumari, Panchamy & Schulte, Frederik & van Oort, Niels, 2023. "Improving the service of E-bike sharing by demand pattern analysis: A data-driven approach," Research in Transportation Economics, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:retrec:v:101:y:2023:i:c:s073988592300080x
    DOI: 10.1016/j.retrec.2023.101340
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    References listed on IDEAS

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    More about this item

    Keywords

    E-Bike sharing system; Temporal clustering; Demand pattern analysis; Operational strategy; Service level evaluation;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other

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