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Grouping travelers on the basis of their different car and transit levels of use

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  • Marco Diana

    ()

  • Patricia Mokhtarian

    ()

Abstract

Market segmentation studies in travel behavior research are ordinarily based on socioeconomic characteristics and personality traits. This study explores the usefulness of a different approach, where the actual overall mobility levels across different ground transportation modes, along with desired changes in the use of cars and transit, are used as clustering variables. Using a given mode can in fact influence the personal representation of that mode, which in turn has been proven to be a key element in transport behaviours. We form such multimodality-based clusters from two field studies, one involving employees of the French transportation research institute INRETS and the other a representative sample of residents of the US San Francisco Bay Area. We find that strong users of a given mode would like to bring more balance to their ‘‘modal consumptions’’ by decreasing the use of this mode more than the average, and increasing the use of the alternative mode. However, concerning ground transport travel budgets, the desire to travel more (or less) overall seems less strongly related to the composition of the modal balance. The US dataset shows also a greater latent demand for travel than the French one. Socioeconomic characteristics of the clusters could not explain the patterns that were found, confirming the importance of taking into account multimodality issues in travel behavior research. Some policy implications from these findings are finally reported.

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File URL: http://hdl.handle.net/10.1007/s11116-009-9207-y
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Bibliographic Info

Article provided by Springer in its journal Transportation.

Volume (Year): 36 (2009)
Issue (Month): 4 (July)
Pages: 455-467

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Handle: RePEc:kap:transp:v:36:y:2009:i:4:p:455-467

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Web page: http://www.springerlink.com/link.asp?id=103007

Related research

Keywords: Cluster analysis; Desired mobility; Market segmentation; Multimodality;

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References

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  1. Collantes, Gustavo O. & Mokhtarian, Patricia L., 2007. "Subjective assessments of personal mobility: What makes the difference between a little and a lot?," Transport Policy, Elsevier, vol. 14(3), pages 181-192, May.
  2. Choo, Sangho & Collantes, Gustavo O. & Mokhtarian, Patricia L., 2004. "Wanting to Travel, More or Less: Exploring the Determinants of the Deficit and Surfeit of Personal Travel," University of California Transportation Center, Working Papers qt0r98m33v, University of California Transportation Center.
  3. Marco Diana & Tingting Song & Knut Wittkowski, 2009. "Studying travel-related individual assessments and desires by combining hierarchically structured ordinal variables," Transportation, Springer, vol. 36(2), pages 187-206, March.
  4. Mokhtarian, Patricia L & Salomon, Ilan, 2001. "How Derived is the Demand for Travel? Some Conceptual and Measurement Considerations," University of California Transportation Center, Working Papers qt7cx951n5, University of California Transportation Center.
  5. P N O'Farrell & J Markham, 1974. "Commuter perceptions of public transport work journeys," Environment and Planning A, Pion Ltd, London, vol. 6(1), pages 79-100, January.
  6. Mokhtarian, Patricia L. & Chen, Cynthia, 2004. "TTB or not TTB, that is the question: a review and analysis of the empirical literature on travel time (and money) budgets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(9-10), pages 643-675.
  7. Guiver, J.W., 2007. "Modal talk: Discourse analysis of how people talk about bus and car travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(3), pages 233-248, March.
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Cited by:
  1. Hebes, Paul & Menge, Julius & Lenz, Barbara, 2013. "Service-related traffic: An analysis of the influence of firms on travel behaviour," Transport Policy, Elsevier, vol. 26(C), pages 43-53.
  2. Diana, Marco & Pronello, Cristina, 2010. "Traveler segmentation strategy with nominal variables through correspondence analysis," Transport Policy, Elsevier, vol. 17(3), pages 183-190, May.

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