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Cited by 171

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Structures of Leisure Travel: Temporal and Spatial Variability

SCHLICH, ROBERT, SCHÖNFELDER, STEFAN, HANSON, SUSAN, AXHAUSEN, KAY W.·2004·Transport Reviews

Abstract

Leisure activities play an increasingly dominant role in our daily lives. Their importance has increased steadily over the last 40 years compared with other activities. Considering leisure travel, one would expect to discover this trend in recent empirical work. Unfortunately, this has not been possible in Germany or other countries due to a lack of suitable data. The lack of such data is mainly caused by different leisure activities being performed sporadically, which are influenced by changing conditions such as the weather, traffic, etc. It is thus desirable to obtain data over periods substantially longer than 1 or even several days (longitudinal data). The longitudinal 6‐week Mobidrive survey data match this requirement and are analysed here with regards to leisure activities. The Mobidrive data allow the examination of aspects of temporal and spatial variability and separate analyses of distinct detailed leisure activities. Because leisure traffic has been rarely analysed from a longitudinal perspective, it is difficult to generalize the results. For this reason, a similar but outdated dataset (Uppsala dataset) is used to validate the results.

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Metadata

Authors
SCHLICH, R., SCHÖNFELDER, S., HANSON, S., & AXHAUSEN, K. W.
Venue
Transport Reviews
Published
2004-03
Volume
24
Issue
2
Pages
219-237
ISSN
  • 0144-1647 (ISSN-L)
  • 1464-5327
OpenAlex
W1982085508
Cited by
171
References
0
FWCI
23.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Structures of Leisure Travel: Temporal and Spatial Variability. https://app.cochat.ai/papers/10.1080/0144164032000138742
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SCHLICH, R., SCHÖNFELDER, S., HANSON, S., & AXHAUSEN, K. W. (2004). Structures of Leisure Travel: Temporal and Spatial Variability. Transport Reviews. https://doi.org/10.1080/0144164032000138742

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.