Recently, urban rail transit has entered an era of network operation, and there may be multiple routes between two stations from which passengers can choose. A questionnaire survey in the Xi’an Metro shows that passengers are multiple-objective when they make a route choice. Most consider travel time, transfer times, or congestion degree together based on experience or real-time information. Different from previous research, this paper takes arrival time into account and also considers the influence of congestion and penalty of transfers within the framework of cumulative prospect theory (CPT), which makes the model more consistent with the general situation. In addition, it can better explain passenger route choice characteristics when faced with risk in the urban rail transit.


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    Titel :

    Route Choice Model for Urban Rail Transit Based on Cumulative Prospect Theory


    Beteiligte:
    Zhang, Jiefei (Autor:in) / Ren, Gang (Autor:in) / Cao, Qi (Autor:in)

    Kongress:

    18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China


    Erschienen in:

    CICTP 2018 ; 733-742


    Erscheinungsdatum :

    02.07.2018




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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