Multiday travel behavior was examined as a stochastic process, and new empirical findings are offered on the variation of travel patterns from day to day. The analysis was based on data from a 6-week travel diary survey conducted in Germany. A small number of travel pattern classes were identified, and transitions in the patterns over a course of weeks were analyzed with Markov chain models. Transitions from a pattern to itself are frequent, particularly for nonworkers, and indicate that some patterns tend to be pursued for a large number of consecutive days. The study also reveals that individuals are heterogeneous in terms of multiday travel behavior; pattern-to-pattern transition probabilities vary substantially across individuals. Some of the observable heterogeneity is demonstrated in terms of the association between attributes of the individual and the recurrence of daily travel patterns.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Recurrence of Daily Travel Patterns


    Subtitle :

    Stochastic Process Approach to Multiday Travel Behavior


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2007-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Generation of Synthetic Daily Activity-Travel Patterns

    Kitamura, R. / Chen, C. / Pendyala, R. M. et al. | British Library Conference Proceedings | 1997


    Generation of Synthetic Daily Activity-Travel Patterns

    Kitamura, Ryuichi / Chen, Cynthia / Pendyala, Ram M. | Transportation Research Record | 1997


    Generation of Synthetic Daily Activity-Travel Patterns

    Kitamura, Ryuichi | Online Contents | 1997


    Micro-simulation of daily activity-travel patterns for travel demand forecasting

    Kitamura, Ryuichi / Chen, Cynthia / Pendyala, Ram M. et al. | Online Contents | 2000