Comparing with the conventional random regret minimization (RRM) model, the generalized random regret minimization (G-RRM) model can accommodate the nonlinear variation and can be applied broadly. By considering the regret aversion characteristics and selecting quantitative and qualitative attributes, G-RRM and random utility maximization (RUM)-based models were constructed for commuting mode choice. Survey data was used to estimate the parameters of both models, and the G-RRM model was proved to outperform the RUM model. Finally, predicting results of commuters’ mode choice showed that speedy traffic modes with mass capacity, such as subway and BRT, were more preferred by commuters. The study provides a new idea and method for commuters’ mode choice researches.


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    Title :

    A Generalized Random Regret Minimization-Based Commuters’ Mode Choice Model


    Contributors:
    Wang, Lixiao (author) / Wang, Xiaoyu (author) / Zuo, Zhi (author)

    Conference:

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


    Published in:

    CICTP 2018 ; 2395-2403


    Publication date :

    2018-07-02




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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