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Do Smart Growth Strategies Have a Role in Curbing Vehicle Miles Traveled? A Further Assessment Using Household Level Survey Data

Listed author(s):
  • Chattopadhyay Sudip

    ()

    (San Francisco State University)

  • Taylor Emily

    ()

    (San Francisco State University)

Registered author(s):

    This paper draws on McFadden’s location choice theory and incorporates households’ residential choice decisions as a hierarchical process in a structural travel demand model. The paper argues that such an approach can effectively tackle the problems of self-selection and multicollinearity. Contrary to previous findings, empirical results based on OLS and 3SLS reveal that travel demand is highly elastic to certain smart-growth features, if they are measured at different spatial scales. The results are robust against alternative sequencing of the hierarchical choice process. An analysis of the quantitative impact of a change in the smart-growth and fuel-tax policies reveals significant returns under both policies. Finally, a simulation based on California suggests that smart growth policies substantially reduce household travel demand.

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    File URL: https://www.degruyter.com/view/j/bejeap.2012.12.issue-1/1935-1682.3224/1935-1682.3224.xml?format=INT
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    Article provided by De Gruyter in its journal The B.E. Journal of Economic Analysis & Policy.

    Volume (Year): 12 (2012)
    Issue (Month): 1 (September)
    Pages: 1-29

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    Handle: RePEc:bpj:bejeap:v:12:y:2012:i:1:n:37
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    1. Chattopadhyay, Sudip, 2000. "The effectiveness of McFaddens's nested logit model in valuing amenity improvement," Regional Science and Urban Economics, Elsevier, vol. 30(1), pages 23-43, January.
    2. Quigley, John M., 1985. "Consumer choice of dwelling, neighborhood and public services," Regional Science and Urban Economics, Elsevier, vol. 15(1), pages 41-63, February.
    3. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
    4. Colin Vance & Ralf Hedel, 2007. "The impact of urban form on automobile travel: disentangling causation from correlation," Transportation, Springer, vol. 34(5), pages 575-588, September.
    5. Antonio M. Bento & Maureen L. Cropper & Ahmed Mushfiq Mobarak & Katja Vinha, 2005. "The Effects of Urban Spatial Structure on Travel Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 466-478, August.
    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.
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