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Subjective assessments of personal mobility: What makes the difference between a little and a lot?

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  • Collantes, Gustavo O.
  • Mokhtarian, Patricia L.

Abstract

Using survey data collected from 1358 commuting workers in the San Francisco Bay Area in 1998, this paper empirically explores the determinants of individuals' subjective assessments of their mobility (measured on a five-point ordinal scale, for 10 different categories of travel). Linear regression was used to identify the relative importance of reported mobility in explaining the variance of the dependent variables. A variety of personal factors were also found to significantly influence such assessments: personality traits, travel-related attitudes, lifestyle characteristics, and affinity for travel. The study provides insight into the way individuals mentally process the amount of travel they do, which will increase our understanding of travel behavior and its motivations.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:trapol:v:14:y:2007:i:3:p:181-192
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    1. Sangho Choo & Gustavo Collantes & Patricia Mokhtarian, 2005. "Wanting to travel, more or less: Exploring the determinants of the deficit and surfeit of personal travel," Transportation, Springer, vol. 32(2), pages 135-164, March.
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    5. Ory, David T. & Mokhtarian, Patricia L., 2005. "When is getting there half the fun? Modeling the liking for travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 97-123.
    6. Curry, Richard W., 2000. "Attitudes Toward Travel: The Relationships Among Perceived Mobility, Travel Liking, and Relative Desired Mobility," Institute of Transportation Studies, Working Paper Series qt2879h292, Institute of Transportation Studies, UC Davis.
    7. Mokhtarian, Patricia L & Salomon, Ilan & S, Lothlorien, 2001. "Understanding the Demand for Travel: It's Not Purely 'Derived'," University of California Transportation Center, Working Papers qt5bh2d8mh, University of California Transportation Center.
    8. Hess, Stephane & Bierlaire, Michel & Polak, John W., 2005. "Estimation of value of travel-time savings using mixed logit models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 221-236.
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    11. Diana, Marco & Mokhtarian, Patricia L, 2008. "Travelers’ segmentation based on multimodality behaviors and attitudes," Institute of Transportation Studies, Working Paper Series qt2cb1z6v7, Institute of Transportation Studies, UC Davis.
    12. Klinger, Thomas & Kenworthy, Jeffrey R. & Lanzendorf, Martin, 2013. "Dimensions of urban mobility cultures – a comparison of German cities," Journal of Transport Geography, Elsevier, vol. 31(C), pages 18-29.
    13. Pronello, Cristina & Camusso, Cristian, 2011. "Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1294-1308.
    14. Diana, Marco, 2008. "Making the "primary utility of travel" concept operational: A measurement model for the assessment of the intrinsic utility of reported trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 455-474, March.
    15. Páez, Antonio, 2013. "Mapping travelers’ attitudes: does space matter?," Journal of Transport Geography, Elsevier, vol. 26(C), pages 117-125.
    16. Branka Trček & Beno Mesarec, 2022. "Pathways to Alternative Transport Mode Choices among University Students and Staff—Commuting to the University of Maribor since 2010," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    17. Ory, David T, 2007. "Structural Equation Modeling of Relative Desired Travel Amounts," Institute of Transportation Studies, Working Paper Series qt8mj659fp, Institute of Transportation Studies, UC Davis.
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