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Alternative approaches for reducing congestion in Baton Rouge, Louisiana

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  • Antipova, Anzhelika
  • Wilmot, Chester

Abstract

The study compares two alternative ways of reducing congestion in Baton Rouge, Louisiana: construction of a northern bypass and improvement of the existing road network. Baton Rouge provides a very interesting case study because it is ranked the worst for congestion among medium sized urban areas in the nation. A travel demand model is used to estimate total travel for each alternative as well as for the status quo. Reduction in total travel resulting from implementation of each alternative over the status quo is evaluated in terms of the estimated change in vehicle miles traveled (VMT) and vehicle hours traveled (VHT). The reduction in travel is compared with the estimated construction cost of each alternative. The analysis revealed that improving the existing road network was more effective in reducing traffic congestion and cost approximately one-third of the cost of the northern bypass. Applying tolls on the bypass did not improve the situation and further proved the superiority of the improved network in reducing traffic congestion.

Suggested Citation

  • Antipova, Anzhelika & Wilmot, Chester, 2012. "Alternative approaches for reducing congestion in Baton Rouge, Louisiana," Journal of Transport Geography, Elsevier, vol. 24(C), pages 404-410.
    • Handle: RePEc:eee:jotrge:v:24:y:2012:i:c:p:404-410
    DOI: 10.1016/j.jtrangeo.2012.04.015
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    References listed on IDEAS

    as
    1. Elias, Wafa & Shiftan, Yoram, 2011. "The safety impact of land use changes resulting from bypass road constructions," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1120-1129.
    2. Noland, Robert B., 2001. "Relationships between highway capacity and induced vehicle travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 47-72, January.
    3. Winston, Clifford & Langer, Ashley, 2006. "The effect of government highway spending on road users' congestion costs," Journal of Urban Economics, Elsevier, vol. 60(3), pages 463-483, November.
    4. Wier, M. & Sciammas, C. & Seto, E. & Bhatia, R. & Rivard, T., 2009. "Health, traffic, and environmental justice: collaborative research and community action in San Francisco, California," American Journal of Public Health, American Public Health Association, vol. 99(S3), pages 499-504.
    5. Jenelius, Erik, 2009. "Network structure and travel patterns: explaining the geographical disparities of road network vulnerability," Journal of Transport Geography, Elsevier, vol. 17(3), pages 234-244.
    6. Hymel, Kent, 2009. "Does traffic congestion reduce employment growth?," Journal of Urban Economics, Elsevier, vol. 65(2), pages 127-135, March.
    7. Lakshmanan, T.R., 2011. "The broader economic consequences of transport infrastructure investments," Journal of Transport Geography, Elsevier, vol. 19(1), pages 1-12.
    8. Hansen, Mark & Huang, Yuanlin, 1997. "Road supply and traffic in California urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(3), pages 205-218, May.
    9. Rhoads, Thomas A. & Shogren, Jason F., 2006. "Why do cities use supply side strategies to mitigate traffic congestion externalities?," Economics Letters, Elsevier, vol. 92(2), pages 214-219, August.
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