Bike‐sharing systems have gained considerable attention with the tide of sharing economy. This paper proposes a dual selection mechanism and a dynamic double‐threshold repositioning policy to reduce problematic stations. The selection mechanism is a preventive self‐balancing measure, which is carried out before problematic stations appear. To prove the effectiveness of this selection mechanism, a system of differential equations is set up, the steady‐state probabilities of the bike‐sharing system are computed, and numerical experiments to verify the applicability and computability of the computational method are provided. The method providd in this study contributes to improving the efficiency of the bike‐sharing by self‐balancing measure.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Bike‐sharing systems with a dual selection mechanism and a dynamic double‐threshold repositioning policy


    Beteiligte:
    Fan, Rui‐Na (Autor:in) / Ma, Fan‐Qi (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.05.2021


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Station-Level Hourly Bike Demand Prediction for Dynamic Repositioning in Bike Sharing Systems

    Wu, Xinhua / Lyu, Cheng / Wang, Zewen et al. | Springer Verlag | 2019


    Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems

    Ghosh, Supriyo / Adulyasak, Yossiri / Varakantham, Pradeep et al. | DSpace@MIT | 2017

    Freier Zugriff

    Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems

    Zheng, Xinghua / Tang, Ming / Zhuo, Hankz Hankui et al. | ArXiv | 2019

    Freier Zugriff