Abstract The spatiotemporal nonstationarity of shared bicycle usage, a sustainable and eco-friendly mode of transportation, is believed to be influenced by the built environment. However, the specific spatial and temporal impacts of built environment factors on shared bicycle trips are not yet fully understood. This study investigates the relationship between the built environment and shared bicycle ridership in Shenzhen, a city where the distribution of shared bicycles is relatively dense, by utilizing multisource urban big data. Key independent variables were selected based on the “5Ds” dimensions of the built environment, and the performance of two models—Geographically Weighted Regression (GWR) and Geographically and Temporally Weighted Regression (GTWR)—were compared. The analysis evaluates the impact of the built environment on the density of shared bicycle ridership, incorporating both spatial and temporal dimensions. The results of the study found that the GTWR model used in this paper can effectively explain the spatio-temporal heterogeneity of built environment-related variables on shared bicycle trips with high goodness of fit. And the regression fit coefficients of the model show that the effects of different built environment indicators on the density of shared bicycle ridership are significantly different in both time and space. Among them, road network density, catering POI density, traffic POI density and POI diversity have a facilitating effect on shared bicycle travels, particularly during peak hours on weekdays and in central urban areas. Shopping POI density shows different effects on shared bike use in different times and spaces. While the distance from the city center and the nearest distance to the bus station have a suppressive effect on shared bicycle use, they show opposite degrees of influence in the spatial distribution. The results can provide more precise guidance for future rational transportation strategies or sustainable urban planning.


    Access

    Download


    Export, share and cite



    Title :

    Analysis of the spatio-temporal impact of the built environment on shared bicycle ridership density


    Contributors:
    Na Li (author) / Tianqun Wang (author)


    Publication date :

    2025




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Spatio-temporal analysis of rail station ridership determinants in the built environment

    Zhu, Yadi / Chen, Feng / Wang, Zijia et al. | Online Contents | 2018


    Spatio-temporal analysis of rail station ridership determinants in the built environment

    Zhu, Yadi / Chen, Feng / Wang, Zijia et al. | Online Contents | 2018



    The impact of bicycle theft on ridership behavior

    Cohen, Achituv / Nelson, Trisalyn / Zanotto, Moreno et al. | Taylor & Francis Verlag | 2024

    Free access

    How Built Environment Impacts Online Car-Hailing Ridership

    Bi, Hui / Ye, Zhirui / Wang, Chao et al. | Transportation Research Record | 2020