In this work, we propose a Bayesian network approach by using structural restrictions and a model averaging algorithm for modeling the location choice of discretionary activities. In a first stage, we delimit individuals’ location choice which is set by generating an ellipse that uses empirical detour factors and a home-work axis. The choice set is further refined by an individual’s space-time constraints in order to identify the constrained destination choice set. We use structural restrictions and a model averaging method to learn the network structure of the Bayesian network in order to predict the heuristics of individuals’ location selection. The empirical study shows the proposed method can effectively obtain Bayesian networks with a consistent dependency structure. The empirical study suggests activity schedule factors significantly influence location choice decisions.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Bayesian networks for constrained location choice modeling using structural restrictions and model averaging


    Beteiligte:
    Tai-Yu Ma (Autor:in) / Sylvain Klein (Autor:in)


    Erscheinungsdatum :

    2018




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Causal structure learning for travel mode choice using structural restrictions and model averaging algorithm

    Ma, Tai-Yu / Chow, Joseph Y. J. / Xu, Jia | Taylor & Francis Verlag | 2017

    Freier Zugriff

    Robust Statistical Modeling of Piezoelectric Axial Fatigue Tests using Bayesian Model Averaging

    Beck, Joseph A. / Scott-Emuakpor, Onome / Brown, Jeffrey M. et al. | AIAA | 2016


    Modeling dominated choice alternatives using the constrained multinomial logit

    Martinez, F. / Cascetta, E. / Pagliara, F. et al. | British Library Conference Proceedings | 2008


    Probabilistic Multimodel Ensemble Wake-Vortex Prediction employing Bayesian Model Averaging

    Körner, Stephan / Holzäpfel, Frank / Sölch, Ingo | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019

    Freier Zugriff

    Bayesian Model Selection and Averaging for Remote Sensing Inverse Problems

    Laine, M. / Tamminen, J. / Veefkind, P. et al. | British Library Conference Proceedings | 2010