Electric carsharing network has been expanding at a very fast rate in the last few years, accompanied by more complex challenges to carsharing operators. Increasing vehicles usage allows for benefits maximization. However, vehicles usage varies significantly in a fleet because of users' preference to vehicles with different features. This study investigated contributing factors to users' vehicles selection behavior through random forests and binary logistic regression using the administrative datasets collected from EVCARD carsharing program. Results showed state of charge (SOC) of electric vehicles and the number of available vehicles parked at a station had the greatest effect on user's vehicles selection behavior. Users tend to be greedy rather than rational when making decisions as they always choose the vehicles with the maximum SOC even their real trips are short. The attributes of trips and users, like real trip distances and users' familiarity with carsharing program, also play an important role in the selection process. Findings from this research can be beneficial to carsharing operators to prioritize investments when purchasing new vehicles and develop optimal management strategies to enhance existing vehicles attraction for users.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling users' vehicles selection behavior in the urban carsharing program


    Beteiligte:
    Hu, Songhua (Autor:in) / Lin, Hangfei (Autor:in) / Xie, Kun (Autor:in) / Chen, Xiaohong (Autor:in) / Shi, Hongjie (Autor:in)


    Erscheinungsdatum :

    2018-11-01


    Format / Umfang :

    641407 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Booking Behavior of Free-Floating Carsharing Users

    Niels, Tanja / Bogenberger, Klaus | Transportation Research Record | 2017



    Carsharing Trip Characteristic Analysis: Do Users Choose Carsharing Rather Than Taxi to Economize?

    Hui, Ying / Liu, Cuiyi / Ding, Mengtao | Transportation Research Record | 2018


    Mode Choice Behavior on Access Trips to Carsharing Vehicles

    Reiffer, Anna / Worle, Tim / Heilig, Michael et al. | IEEE | 2020


    Revealing influences on carsharing users’ trip distance in small urban areas

    Baumgarte, Felix / Keller, Robert / Röhrich, Felix et al. | Elsevier | 2022