This paper examines morning commute route choices of 182 drivers, with the use of disaggregated Global Positioning System–based vehicle activity data collected during a 10-day period. This paper attempts to describe how these commuters tend to behave in the real world. A binary logit model of morning commuters’ choice between a single commute route and multiple routes was established on the basis of evidence of drivers’ varying valuations of a number of route and trip characteristics as well as commuters’ sociodemographic characteristics. The research results of this paper indicate a strong relationship between the morning commute route choice decision (single versus multiple routes) and commuters’ work schedule flexibility, sociodemographic characteristics, and commute route attributes.


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    Titel :

    Analysis of Morning Commute Route Choice Patterns Using Global Positioning System–Based Vehicle Activity Data


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:
    Li, Hainan (Autor:in) / Guensler, Randall (Autor:in) / Ogle, Jennifer (Autor:in)


    Erscheinungsdatum :

    2005-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch