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An Evolutionary Transportation Planning Model: Structure and Application

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  • David Levinson

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

Abstract

This paper describes an evolutionary transportation planning model wherein the demand in a given year depends on the demand of the previous year. The model redistributes a fraction of the work trips each year due to the relocation of a household or taking a new job, while changes in distribution due to growth (or decline) are considered. This hybrid-evolutionary model is compared with an equilibrium model, wherein supply and demand are solved simultaneously. The reasons for preferring the evolutionary method to the equilibrium approach are several: (a) the ability to more easily use observed data and thereby limit modeling to changes in behavior; (b) additional realism in the concept of the model; (c) the provision of a framework for extension to integration with land use models; and (d) the additional information available to policy makers.

Suggested Citation

  • David Levinson, 1995. "An Evolutionary Transportation Planning Model: Structure and Application," Working Papers 199502, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:evolutionary
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    File URL: http://hdl.handle.net/11299/179852
    File Function: First version, 2007
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    References listed on IDEAS

    as
    1. David Levinson & Ajay Kumar, 1995. "A Multi-modal Trip Distribution Model," Working Papers 199503, University of Minnesota: Nexus Research Group.
    2. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    3. David Levinson & Ajay Kumar, 1994. "Integrating Feedback into the Transportation Planning Mode," Working Papers 199404, University of Minnesota: Nexus Research Group.
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    Cited by:

    1. Rayaprolu, Hema & Levinson, David, 2024. "Co-evolution of public transport access and ridership," Journal of Transport Geography, Elsevier, vol. 116(C).
    2. Shanjiang Zhu & David Levinson & Lei Zhang, 2007. "An Agent-based Route Choice Model," Working Papers 000089, University of Minnesota: Nexus Research Group.
    3. Yang Chen & Martha M. Bakker & Arend Ligtenberg & Arnold K. Bregt, 2016. "How Are Feedbacks Represented in Land Models?," Land, MDPI, vol. 5(3), pages 1-20, September.

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    More about this item

    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

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