AbstractThis paper presents a novel three-phase optimization-trend-simulation (OTS) decision support system for carsharing operators to determine a set of near-optimal manpower and operating parameters for the vehicle relocation problem. Tested on a set of commercially operational data from a carsharing company in Singapore, the simulation results suggest that the manpower and parameters recommended by the OTS system lead to a reduction in staff cost of 50%, a reduction in zero-vehicle-time ranging between 4.6% and 13.0%, a maintenance of the already low full-port-time and a reduction in number of relocations ranging between 37.1% and 41.1%.


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    Titel :

    A decision support system for vehicle relocation operations in carsharing systems


    Beteiligte:
    Kek, Alvina G.H. (Autor:in) / Cheu, Ruey Long (Autor:in) / Meng, Qiang (Autor:in) / Fung, Chau Ha (Autor:in)


    Erscheinungsdatum :

    2008-02-19


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch