With the increasing integration of urban public transportation modes, the demand for first- and last-mile travel has become an urgent issue. Owing to its convenience and affordability, bike-sharing has been recognized as an effective solution for addressing this need. To better understand the demand for intermodal trips involving bike-sharing and conventional buses, this study focuses on the spatial heterogeneity of such trips. A method based on bike-sharing density was proposed to identify intermodal trips near bus stops. The spatial distribution of these trips was then analyzed. Geographically Weighted Regression and Multiscale Geographically Weighted Regression models were employed to examine the effects of land use, population, socioeconomic attributes, transportation environment, and destination accessibility on intermodal trip demand. Spatial variations in these effects were also assessed. The results indicated that the density of bike-sharing trips near bus stops followed a consistent pattern. The density decreases with increasing distance from the stop, and the rate of decline exhibits a "U-shaped" pattern. A buffer radius of 50 m was identified as the optimal threshold at which the rate of decrease was minimized. Trips within this radius accounted for approximately 17.1% of all bike-sharing trips. In Shenzhen, intermodal trips were primarily concentrated in southern Longhua, western Luohu, Futian, and central Nanshan. Secondary concentrations were observed in Guangming and Bao'an districts. The spatial distributions of trip origins and destinations showed minimal differences, indicating a relatively balanced distribution. This distribution aligns with the overall pattern of bike-sharing activities. The explanatory variables exhibited significant spatial heterogeneity in their effects on intermodal trip demand. Shopping facilities, hotel accommodations, cultural and educational institutions, GDP, and distance to the city center were found to have positive effects. Among these, the influence of shopping facilities was particularly notable in the central areas, with weekdays' coefficients concentrated around 0.057 and more dispersed on weekends. The impact of hotel accommodations was dispersed across weekdays and weekends. Cultural and educational facilities had a weekday coefficient concentration of approximately 0.098, whereas the weekend effects were more scattered. GDP demonstrated the highest positive influence among all variables, with coefficients of 0.176 on weekdays and 0.150 on weekends. The coefficients for distance to the city center were relatively concentrated at 0.110 and 0.233 on weekdays and weekends, respectively. By contrast, residential land-use density, road network density, and stop proximity exhibited inhibitory effects. Coefficients for residential land-use density were -0.020 on weekdays and -0.018 on weekends. Road network density showed coefficients of -0.020 and -0.010, respectively. The effect of stop proximity varied more spatially. Additionally, tourist attractions have time-sensitive effects, suppressing intermodal trip demand on weekdays and promoting demand on weekends. It is suggested that designated bike-sharing parking zones be established within a 50 m radius of bus stops to reduce the transfer walking distance. On weekdays, more bikes should be deployed near schools and residential areas; on weekends, the deployment should focus on scenic areas and bookstores. These findings help to delineate the effective spatial scope of intermodal trips and reveal how various built environments and socioeconomic factors shape trip patterns. The results offer practical insights for improving the coordination between bike-sharing and conventional buses, enhancing the overall efficiency of public transport and increasing its appeal to commuters.


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    Titel :

    Spatial Heterogeneity of Bike-Sharing–Conventional Bus Intermodal Trip Distribution


    Beteiligte:
    Yang Chenyang (Autor:in) / Tang Wenyun (Autor:in) / Ma Jianxiao (Autor:in) / Yin Chaoying (Autor:in) / Wang Hanbin (Autor:in)


    Erscheinungsdatum :

    2025




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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