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On the recurrence of daily travel patterns: A stochastic-process approach to multi-day travel behavior
Delft University of Technology, Netherlands.ORCID iD: 0000-0001-7124-7164
2007 (English)In: Transportation Research Record, ISSN 0361-1981, E-ISSN 2169-4052, Vol. 2021, 55-63 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2007. Vol. 2021, 55-63 p.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-71671DOI: 10.3141/2021-07ISI: 000253239700007OAI: oai:DiVA.org:kth-71671DiVA: diva2:486878
Note
TSC import 466 2012-01-30. QC 20120524Available from: 2012-01-31 Created: 2012-01-31 Last updated: 2017-12-08Bibliographically approved

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Susilo, Yusak

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