Over the past decade, bike-sharing has garnered significant attention in both research and practice. As a manpower-driven transportation mode, the usage of bikes seems more sensitive to trip length, since one could take a shared bike to a destination where is too far to walk, or choose it for simply replacing walking when going to a nearby place. This paper identifies a threshold of bike-sharing trip lengths from bike-sharing trace data, and employs the Semiparametric Geographically Weighted Poisson Regression model to investigate the relationship between built environment and bike-sharing demand with different lengths by considering the heterogeneity in the relationship. Results show that built environment has heterogeneous effects on the bike-sharing demand in urban areas, and the effects differ across groups with trip lengths. The findings contribute to understanding the relationships between built environment and bike-sharing demand, and providing support for the placements and dispatching of shared bikes.


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    Titel :

    Exploring the relationship between built environment and bike-sharing demand: Does the trip length matter?


    Weitere Titelangaben:

    TRANSPORTATION PLANNING AND TECHNOLOGY
    F. WANG ET AL.


    Beteiligte:
    Wang, Feiyang (Autor:in) / Yin, Chaoying (Autor:in) / Chang, Ximing (Autor:in) / Zhang, Xinyu (Autor:in) / He, Zhengbing (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    04.07.2025


    Format / Umfang :

    27 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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