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    Modelling Train Station Choice under Uncertainty for Park and Ride Users

    Chen C 2019.pdf (6.738Mb)
    Access Status
    Open access
    Authors
    Chen, Chunmei
    Date
    2019
    Supervisor
    Jianhong (Cecilia) Xia
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    School of Earth and Planetary Sciences
    URI
    http://hdl.handle.net/20.500.11937/76066
    Collection
    • Curtin Theses
    Abstract

    This research develops a novel theoretical framework for modelling train station choice under uncertainty for park and ride users. Three uncertain factors, travel time to station, parking search time and crowding on trains, are modelled to estimate station choice probabilities, the risk attitudes of respondents and the preference heterogeneity of individuals. This study may support planning decisions on the location, price and capacity of P&R facilities, and provide evidence for evaluating P&R investment decisions.

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