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Volatility of car ownership, commuting mode and time in the UK

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  • Dargay, Joyce
  • Hanly, Mark

Abstract

This paper has two objectives: to examine the volatility of travel behaviour over time and consider the factors explaining this volatility; and to estimate the factors determining car ownership and commuting by car. The analysis is based on observations of individuals and households over a period of up to 11 years obtained from the British Household Panel Survey (BHPS). Changes in car ownership, commuting mode and commuting time over a period of years for the same individuals/households are examined to determine the extent to which these change from year-to-year. This volatility of individual behaviour is a measure of the ease of change or adaptation. If behaviour changes easily, policy measures are likely to have a stronger and more rapid effect than if there is more resistance to change. The changes are "explained" in terms of factors such as moving house, changing job and employment status. The factors determining car ownership and commuting by car are analysed using a dynamic panel-data models.

Suggested Citation

  • Dargay, Joyce & Hanly, Mark, 2007. "Volatility of car ownership, commuting mode and time in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 934-948, December.
  • Handle: RePEc:eee:transa:v:41:y:2007:i:10:p:934-948
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    References listed on IDEAS

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    1. Whelan, Gerard, 2007. "Modelling car ownership in Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(3), pages 205-219, March.
    2. Jan Rouwendal & Piet Rietveld, 1994. "Changes in Commuting Distances of Dutch Households," Urban Studies, Urban Studies Journal Limited, vol. 31(9), pages 1545-1557, November.
    3. Clark, William A. V. & Huang, Youqin & Withers, Suzanne, 2003. "Does commuting distance matter?: Commuting tolerance and residential change," Regional Science and Urban Economics, Elsevier, vol. 33(2), pages 199-221, March.
    4. Thøgersen, John, 2006. "Understanding repetitive travel mode choices in a stable context: A panel study approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(8), pages 621-638, October.
    5. Golob, Thomas F., 1990. "The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions," University of California Transportation Center, Working Papers qt1676t0bp, University of California Transportation Center.
    6. Kitamura, Ryuichi & Bunch, David S., 1990. "Heterogeneity and State Dependence in Household Car Ownership: A Panel Analysis Using Ordered-Response Probit Models with Error Components," University of California Transportation Center, Working Papers qt0qv4q55r, University of California Transportation Center.
    7. Meurs, Henk, 1993. "A panel data switching regression model of mobility and car ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(6), pages 461-476, November.
    8. Golob, Thomas F., 1990. "The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions," University of California Transportation Center, Working Papers qt2t18b4q9, University of California Transportation Center.
    9. Hensher, David A. & Le Plastrier, Vicki, 1985. "Towards a dynamic discrete-choice model of household automobile fleet size and composition," Transportation Research Part B: Methodological, Elsevier, vol. 19(6), pages 481-495, December.
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