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Area Based Models of New Highway Route Growth

Author

Listed:
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

  • Wei Chen

Abstract

Empirical data and statistical models are used to answer the question of where new highway routes are most likely to be located. High-quality land-use, population distribution and highway network GIS data for the Twin CitiesMetropolitan Area from 1958 to 1990 are developed for this study. The highway system is classified into three levels, Interstate highways, divided highways, and secondary highways. Binary logit models estimate the new route growth probability of divided highways and secondary highways. Interstates, however,are not modeled here and are used as a predictor in modeling the growth of divided highways and secondary highways. The results show that the area's land-use attributes and population density level do have significant relationship with the area's likelihood of adding new highway routes.

Suggested Citation

  • David Levinson & Wei Chen, 2007. "Area Based Models of New Highway Route Growth," Working Papers 200708, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:areabasednetworkgrowth
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    File URL: http://hdl.handle.net/11299/179953
    File Function: First version, 2007
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    References listed on IDEAS

    as
    1. David Levinson & Ramachandra Karamalaputi, 2003. "Induced Supply: A Model of Highway Network Expansion at the Microscopic Level," Journal of Transport Economics and Policy, University of Bath, vol. 37(3), pages 297-318, September.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. David Levinson & Wei Chen, 2004. "Paving New Ground," Working Papers 200509, University of Minnesota: Nexus Research Group.
    2. Michael Iacono & David Levinson, 2008. "Predicting Land Use Change: How Much Does Transportation Matter?," Working Papers 200911, University of Minnesota: Nexus Research Group.

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    More about this item

    Keywords

    network growth; hierarchy of roads; land-use; population; GIS.;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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