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Does the income elasticity of road traffic depend on the source of income?

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  • Le Vine, Scott
  • Chen, Bingqing (Emily)
  • Polak, John

Abstract

An extensive body of literature addresses the income elasticity of road traffic, in which income is typically treated as a homogenous quantity. Here we report evidence of heterogeneity in cross-sectional estimates of the elasticity of vehicle-kilometres of travel (VKT) with respect to income, when household income is disaggregated on the basis of income source.

Suggested Citation

  • Le Vine, Scott & Chen, Bingqing (Emily) & Polak, John, 2014. "Does the income elasticity of road traffic depend on the source of income?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 15-29.
    • Handle: RePEc:eee:transa:v:67:y:2014:i:c:p:15-29
    DOI: 10.1016/j.tra.2014.06.003
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    References listed on IDEAS

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    1. Gakenheimer, Ralph, 1999. "Urban mobility in the developing world," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 671-689.
    2. Kuhnimhof, Tobias & Buehler, Ralph & Wirtz, Matthias & Kalinowska, Dominika, 2012. "Travel trends among young adults in Germany: increasing multimodality and declining car use for men," Journal of Transport Geography, Elsevier, vol. 24(C), pages 443-450.
    3. Su, Qing, 2011. "Induced motor vehicle travel from improved fuel efficiency and road expansion," Energy Policy, Elsevier, vol. 39(11), pages 7257-7264.
    4. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 201-222, March.
    5. 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.
    6. Su, Qing, 2010. "Travel demand in the US urban areas: A system dynamic panel data approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(2), pages 110-117, February.
    7. Hymel, Kent M. & Small, Kenneth A. & Dender, Kurt Van, 2010. "Induced demand and rebound effects in road transport," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1220-1241, December.
    8. Schafer, Andreas & Victor, David G., 2000. "The future mobility of the world population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(3), pages 171-205, April.
    9. Joyce M. Dargay & Mark Hanly, 2002. "The Demand for Local Bus Services in England," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 73-91, January.
    10. William C. Wheaton, 1982. "The Long-Run Structure of Transportation and Gasoline Demand," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 439-454, Autumn.
    11. Wadud, Zia & Graham, Daniel J. & Noland, Robert B., 2009. "Modelling fuel demand for different socio-economic groups," Applied Energy, Elsevier, vol. 86(12), pages 2740-2749, December.
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