01047530

Component

https://doi.org/10.3141/2021-07

http://scholar.google.com...silo&publication_year=2007

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.

01088122

English

pp 55-63

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104487

Print

Figures (3) ; References (26) ; Tables (4)

Daily; Markov chains; Stochastic processes; Travel behavior; Travel diaries; Travel patterns; Travel surveys; Travel time

Heterogeneity (Choices); Multi-day data

Germany

Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB

Feb 8 2007 6:48PM

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