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Personal Travel Management: The Adoption and Consideration of Travel-Related Strategies

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  • Clay, Michael J.
  • Mokhtarian, Patricia L.

Abstract

Traveler behavior plays a role in the effectiveness of travel demand management (TDM) policies. Personal travel management is explored in this paper by analyzing individuals’ adoption and consideration of 17 travel-related alternatives in relation to socio-demographic, mobility, travel-related attitude, personality and lifestyle preference variables. The sample comprises 1282 commuters living in urban and suburban neighborhoods of the San Francisco Bay Area. Among the findings: females were more likely to have adopted/considered the more ‘costly’ strategies; those with higher mobility were more likely to have adopted/considered travel-maintaining as well as travel-reducing strategies; and those who like travel and want to do more are less likely to consider travel-reducing strategies. These findings, when combined with those of earlier work on this subject, present a compelling argument for the need to further understand traveler behavior -- particularly in response to congestion and TDM policies.

Suggested Citation

  • Clay, Michael J. & Mokhtarian, Patricia L., 2004. "Personal Travel Management: The Adoption and Consideration of Travel-Related Strategies," University of California Transportation Center, Working Papers qt3mw6d5hj, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt3mw6d5hj
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    References listed on IDEAS

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    1. 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.
    2. Gärling, Tommy & Eek, Daniel & Loukopoulos, Peter & Fujii, Satoshi & Johansson-Stenman, Olof & Kitamura, Ryuichi & Pendyala, Ram & Vilhelmson, Bertil, 2002. "A conceptual analysis of the impact of travel demand management on private car use," Transport Policy, Elsevier, vol. 9(1), pages 59-70, January.
    3. Patricia L. Mokhtarian, 2002. "Telecommunications and Travel: The Case for Complementarity," Journal of Industrial Ecology, Yale University, vol. 6(2), pages 43-57, April.
    4. Lave, Charles, 1994. "The demand curve under road pricing and the problem of political feasibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(2), pages 83-91, March.
    5. Wachs, Martin, 1994. "Will Congestion Pricing Ever Be Adopted?," University of California Transportation Center, Working Papers qt98r1z5rj, University of California Transportation Center.
    6. Mokhtarian, Patricia L. & Raney, Elizabeth A. & Salomon, Ilan, 1997. "Behavioral response to congestion: identifying patterns and socio-economic differences in adoption," Transport Policy, Elsevier, vol. 4(3), pages 147-160, July.
    7. Kitamura, R. & Nakayama, S. & Yamamoto, T., 1999. "Self-reinforcing motorization: can travel demand management take us out of the social trap?," Transport Policy, Elsevier, vol. 6(3), pages 135-145, July.
    8. Lave, Charles, 1994. "The Demand Curve Under Road Pricing and the Problem of Political Feasibility," University of California Transportation Center, Working Papers qt5165m7jr, University of California Transportation Center.
    9. Redmond, Lothlorien, 2000. "Identifying and Analyzing Travel-Related Attitudinal, Personality, and Lifestyle Clusters in the San Francisco Bay Area," Institute of Transportation Studies, Working Paper Series qt0317h7v4, Institute of Transportation Studies, UC Davis.
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    Cited by:

    1. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? Objective and subjective influences on the consideration of travel-related strategies for San Francisco Bay Area commuters," Transport Policy, Elsevier, vol. 12(4), pages 291-302, July.
    2. Ory, D T & Mokhtarian, Patricia L, 2005. "Don’t Work, Work at Home, or Commute? Discrete Choice Models of the Decision for San Francisco Bay Area Residents," Institute of Transportation Studies, Working Paper Series qt71q8b94r, Institute of Transportation Studies, UC Davis.
    3. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? A conceptual exploration of the consideration of travel-related strategies," Transport Policy, Elsevier, vol. 12(3), pages 199-206, May.
    4. Caulfield, Brian & Charly, Anna, 2022. "Examining the potential environmental and travel time saved benefits of remote working hubs," Transport Policy, Elsevier, vol. 127(C), pages 139-147.
    5. Sangho Choo & Patricia Mokhtarian, 2008. "How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles," Transportation, Springer, vol. 35(2), pages 145-163, March.
    6. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Activity-travel adaptations in response to a tradable driving credits scheme," Transport Policy, Elsevier, vol. 72(C), pages 79-88.
    7. Cristina Pronello & Jean-Baptiste Gaborieau, 2018. "Engaging in Pro-Environment Travel Behaviour Research from a Psycho-Social Perspective: A Review of Behavioural Variables and Theories," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    8. Tørnblad, Silje H. & Kallbekken, Steffen & Korneliussen, Kristine & Mideksa, Torben K., 2014. "Using mobility management to reduce private car use: Results from a natural field experiment in Norway," Transport Policy, Elsevier, vol. 32(C), pages 9-15.
    9. Ory, David T. & Mokhtarian, Patricia L., 2005. "Modeling the Joint Labor-Commute Engagement Decisions of San Francisco Bay Area Residents," University of California Transportation Center, Working Papers qt7600m6qv, University of California Transportation Center.
    10. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 52-64.

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