Abstract
Quantifying intra-person variability in travel choices is essential for the comprehension of activity-travel behaviour. Due to a lack of empirical studies, there is limited understanding of how an individual’s travel pattern evolves over months and years. We use two high-resolution user-labelled datasets consisting of billions of GPS track points from ∼3800 individuals to analyze individuals’ activity-travel behaviour over the long term. The general movement patterns of the considered population are characterised using mobility indicators. Despite the differences in the mobility patterns, we find that individuals from both datasets maintain a conserved quantity in the number of essential travel mode and activity location combinations over time, resulting from a balance between exploring new choice combinations and exploiting existing options. A typical individual maintains ∼15 mode-location combinations, of which ∼7 are travelled with a private vehicle every 5 weeks. The dynamics of this stability reveal that the exploration speed of locations is faster than the one for travel modes, and they can both be well modelled using a power-law fit that slows down over time. Our findings enrich the understanding of the long-term intra-person variability in activity-travel behaviour and open new possibilities for designing mobility simulation models. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000584618Publication status
publishedExternal links
Journal / series
Transportation Research Part C: Emerging TechnologiesVolume
Pages / Article No.
Publisher
ElsevierSubject
Human mobility; Individual activity-travel pattern; Intra-personal variability; Mobility constraintsOrganisational unit
03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
03901 - Raubal, Martin / Raubal, Martin
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
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Is new version of: https://doi.org/10.3929/ethz-b-000551831
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