Modeling travelers’ mode choice behavior is an important component of travel demand studies. In an effort to account for day-to-day dynamics of travelers’ mode choice behavior, the current study develops a dynamic random effects logit model to endogenously incorporate the mode chosen for a day into the utility function of the mode chosen for the following day. A static multinomial logit model is also estimated to examine the performance of the dynamic model. Per the results, the dynamic random effects model outperforms the static model in relation to predictive power. According to the accuracy indices, the dynamic random effects model offers the predictive power of 60.0% for members of car-deficient households, whereas the static model is limited to 43.1%. Also, comparison of F1-scores indicates that the predictive power of the dynamic random effects model with respect to active travels is 47.1% whereas that of the static model is as low as 15.0%. The results indicate a significant day-to-day dynamic behavior of transit users and active travelers. This pattern is found to be true in general, but not for members of car-deficient households, who are found more likely to choose the same mode for two successive days.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Week-Long Mode Choice Behavior: Dynamic Random Effects Logit Model


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:


    Erscheinungsdatum :

    06.06.2019




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A weighted logit freight mode-choice model

    Rich, J. | Online Contents | 2009


    A weighted logit freight mode-choice model

    Rich, J. | Online Contents | 2009


    Study of Travel Mode Choice Behavior Based on Nested Logit Model

    Shang, B. / Zhang, X.N. | British Library Conference Proceedings | 2013


    Study of Travel Mode Choice Behavior Based on Nested Logit Model

    Shang, Bin ;Zhang, Xiao Ning | Trans Tech Publications | 2012


    Transportation Mode Choice Behavior with Multinomial Logit Model: Work and School Trips

    Yeshitila Deneke / Robel Desta / Anteneh Afework et al. | DOAJ | 2024

    Freier Zugriff