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The Economics of Transportation Network Growth

In: Essays on Transport Economics

Author

Listed:
  • Lei Zhang

    (University of Minnesota)

  • David Levinson

    (University of Minnesota)

Abstract

A number of factors influence the efficiency, productivity, and welfare of a transportation network. Travel demand, user costs, and facility supply costs equilibrate on various time scales under a set of pricing (taxes and tolls), investment and ownership policies. Two types of equilibria exist in a transportation network, short-run traffic equilibrium and long-run supply-demand equilibrium. The phenomenon of traffic equilibrium is explored with a fixed transportation network where the capacity of links is given. Even though investment- and ownership-related policies are not of major concern for studies on traffic equilibrium, it is still a complex problem due to network congestion effects, variations of pricing rules, and multidimensionality of user choices. In order to understand the long-run supply-demand equilibrium in a transportation network, one has to consider all above-mentioned factors in a coherent analytical framework. We refer to this research problem as the transportation network growth problem, because the network evolves and link capacity is not fixed in the long run. Most previous studies have considered network pricing, investment, and ownership structures separately, which are reviewed. The paper considers choices of prices, capacity, and ownership simultaneously on small parallel, serial, and parallel-serial networks, and develops an analytical network model. We discuss properties of long-run network equilibria with different network layouts and ownership regimes, and the implications on network efficiency.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Lei Zhang & David Levinson, 2007. "The Economics of Transportation Network Growth," Contributions to Economics, in: Pablo Coto-Millán & Vicente Inglada (ed.), Essays on Transport Economics, chapter 17, pages 317-339, Springer.
    • Handle: RePEc:spr:conchp:978-3-7908-1765-2_18
    DOI: 10.1007/978-3-7908-1765-2_18
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    References listed on IDEAS

    as
    1. Erik T. Verhoef & Jan Rouwendal, 2004. "Pricing, Capacity Choice, and Financing in Transportation Networks," Journal of Regional Science, Wiley Blackwell, vol. 44(3), pages 405-435, August.
    2. Verhoef, Erik & Nijkamp, Peter & Rietveld, Piet, 1996. "Second-Best Congestion Pricing: The Case of an Untolled Alternative," Journal of Urban Economics, Elsevier, vol. 40(3), pages 279-302, November.
    3. 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.
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    Citations

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    Cited by:

    1. Lei Zhang & David Levinson, 2006. "Economics of Road Network Ownership," Working Papers 200908, University of Minnesota: Nexus Research Group.
    2. Michael Iacono & David Levinson & Ahmed El-Geneidy, 2007. "Models of Transportation and Land Use Change: A Guide to the Territory," Working Papers 200805, University of Minnesota: Nexus Research Group.
    3. Feng Xie & David Levinson, 2009. "Governance choice on a serial network," Public Choice, Springer, vol. 141(1), pages 189-212, October.
    4. El-Geneidy, Ahmed & Kastelberger, Lisa & Abdelhamid, Hatem, 2011. "Montréal's Roots: Exploring the Growth of Montréal's Indoor City," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 4(2), pages 33-46.
    5. Feng Xie & David Levinson, 2009. "Jurisdictional Control and Network Growth," Networks and Spatial Economics, Springer, vol. 9(3), pages 459-483, September.
    6. Lei Zhang & David Levinson & Shanjiang Zhu, 2007. "Agent-Based Model of Price Competition and Product Differentiation on Congested Networks," Working Papers 200809, University of Minnesota: Nexus Research Group.

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    More about this item

    Keywords

    Route Choice; Network Design Problem; Road Price; Network Growth; Ownership Regime;
    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
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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