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

Author

Listed:
  • Chattopadhyay Sudip

    (San Francisco State University)

  • Taylor Emily

    (San Francisco State University)

Abstract

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.

Suggested Citation

  • Chattopadhyay Sudip & Taylor Emily, 2012. "Do Smart Growth Strategies Have a Role in Curbing Vehicle Miles Traveled? A Further Assessment Using Household Level Survey Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-29, September.
    • Handle: RePEc:bpj:bejeap:v:12:y:2012:i:1:n:37
    DOI: 10.1515/1935-1682.3224
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    References listed on IDEAS

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    1. repec:aen:journl:2008v29-01-a06 is not listed on IDEAS
    2. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    3. 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.
    4. Marlon G. Boarnet & Sharon Sarmiento, 1998. "Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics," Urban Studies, Urban Studies Journal Limited, vol. 35(7), pages 1155-1169, June.
    5. 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.
    6. 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.
    7. 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.
    8. 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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    Cited by:

    1. Rui Wang & Quan Yuan, 2017. "Are denser cities greener? Evidence from China, 2000–2010," Natural Resources Forum, Blackwell Publishing, vol. 41(3), pages 179-189, August.

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