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Personal travel management: the adoption and consideration of travel-related strategies

Author

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  • Michael J. Clay *
  • Patricia L. Mokhtarian

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

  • Michael J. Clay * & Patricia L. Mokhtarian, 2004. "Personal travel management: the adoption and consideration of travel-related strategies," Transportation Planning and Technology, Taylor & Francis Journals, vol. 27(3), pages 181-209, June.
    • Handle: RePEc:taf:transp:v:27:y:2004:i:3:p:181-209
    DOI: 10.1080/0308106042000226907
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    Cited by:

    1. 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.
    2. 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.
    3. repec:cdl:itsdav:qt5cs0q85s is not listed on IDEAS
    4. repec:cdl:uctcwp:qt7600m6qv is not listed on IDEAS
    5. 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.
    6. 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.
    7. repec:cdl:uctcwp:qt6357t1jj is not listed on IDEAS
    8. 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.
    9. repec:cdl:uctcwp:qt3dj9c6sd is not listed on IDEAS
    10. repec:cdl:uctcwp:qt45k3391f is not listed on IDEAS
    11. 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.
    12. 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.
    13. repec:cdl:itsdav:qt71q8b94r is not listed on IDEAS
    14. 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.

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