The study aims to evaluate uncertainties in travelers' mode choice decisions using the entropy theory. Data were obtained from a household survey in a medium-sized city in China. The entropy theory was brought in to the multinomial logit model to evaluate the amount of uncertainty related to the mode choice decision of each traveler. The results showed that, in commuting chains, selecting a car as the mode type had the largest amount of uncertainty, while selecting public transit had the least uncertainty. In non-commuting chains, the bike choice had the largest uncertainty while the walk choice had the least uncertainty.


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    Titel :

    Application of Entropy Theory for the Analysis of Mode Choice Decisions


    Beteiligte:
    Wan, Qian (Autor:in) / Li, Wenyong (Autor:in) / Liang, Qiyu (Autor:in) / Wang, Hao (Autor:in) / Li, Zhibin (Autor:in)

    Kongress:

    14th COTA International Conference of Transportation Professionals ; 2014 ; Changsha, China


    Erschienen in:

    CICTP 2014 ; 3088-3094


    Erscheinungsdatum :

    24.06.2014




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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