IDEAS home Printed from https://ideas.repec.org/a/tpe/jtecpo/v37y2003i3p297-318.html

Induced Supply: A Model of Highway Network Expansion at the Microscopic Level

Author

Listed:
  • David Levinson
  • Ramachandra Karamalaputi

Abstract

This paper examines the growth of a highway network based on the present and historical conditions of the network, traffic demand, demographic characteristics, project costs, and budget. The effects of expanding a link on its upstream and downstream neighbours, as well as on parallel links, are also considered. Data span two decades and consist of physical attributes of the network, their construction and expansion history, and traffic levels on each of the links. An observation of this research is that the rate of network expansion has decreased over time. The pattern of expansion for each type of highway was found to differ only marginally, indicating that the model estimated is reliable for general use. The models developed here have important implications for planning and forecasting. © The London School of Economics and the University of Bath 2003

Suggested Citation

  • 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.
    • Handle: RePEc:tpe:jtecpo:v:37:y:2003:i:3:p:297-318
    as

    Download full text from publisher

    File URL: http://www.catchword.com/cgi-bin/cgi?ini=bc&body=linker&reqidx=0022-5258(20030901)37:3L.297;1-
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lei Zhang & David Levinson, 2006. "Economics of Road Network Ownership," Working Papers 200908, University of Minnesota: Nexus Research Group.
    2. Rayaprolu, Hema & Levinson, David, 2024. "Co-evolution of public transport access and ridership," Journal of Transport Geography, Elsevier, vol. 116(C).
    3. David Levinson & Ramachandra Karamalaputi, 2003. "Predicting the Construction of New Highway Links," Working Papers 200305, University of Minnesota: Nexus Research Group.
    4. Lei Zhang & David Levinson, 2005. "Road Pricing with Autonomous Links," Working Papers 200506, University of Minnesota: Nexus Research Group.
    5. Abe, Ryosuke & Kato, Hironori, 2017. "What led to the establishment of a rail-oriented city? Determinants of urban rail supply in Tokyo, Japan, 1950–2010," Transport Policy, Elsevier, vol. 58(C), pages 72-79.
    6. Alireza Ermagun & David M Levinson, 2019. "Development and application of the network weight matrix to predict traffic flow for congested and uncongested conditions," Environment and Planning B, , vol. 46(9), pages 1684-1705, November.
    7. Hongyan Chen & Ruwen Qin, 2012. "Real options as an incentive scheme for managing revenues in transportation infrastructure projects," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 6(1/2), pages 77-101.
    8. Nikolas Geroliminis & David M. Levinson, 2009. "Cordon Pricing Consistent with the Physics of Overcrowding," Springer Books, in: William H. K. Lam & S. C. Wong & Hong K. Lo (ed.), Transportation and Traffic Theory 2009: Golden Jubilee, chapter 0, pages 219-240, Springer.
    9. David Levinson, 2008. "Density and dispersion: the co-development of land use and rail in London," Journal of Economic Geography, Oxford University Press, vol. 8(1), pages 55-77, January.
    10. 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.
    11. Barati, Hojjat & Yazici, Anil & Almotahari, Amirmasoud, 2024. "A methodology for ranking of critical links in transportation networks based on criticality score distributions," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    12. Juan Carlos Martin & Juan Carlos García-Palomares & Javier Gutierrez & Concepción Román, 2010. "Efficiency and equity of orbital motorways in Madrid," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 67-84.
    13. Feng Xie & David Levinson, 2009. "Jurisdictional Control and Network Growth," Networks and Spatial Economics, Springer, vol. 9(3), pages 459-483, September.
    14. Ge Shi & Jie Shan & Liang Ding & Peng Ye & Yang Li & Nan Jiang, 2019. "Urban Road Network Expansion and Its Driving Variables: A Case Study of Nanjing City," IJERPH, MDPI, vol. 16(13), pages 1-16, June.
    15. David Levinson & Wei Chen, 2004. "Paving New Ground," Working Papers 200509, University of Minnesota: Nexus Research Group.
    16. C. Jacobs-Crisioni & C. C. Koopmans, 2016. "Transport link scanner: simulating geographic transport network expansion through individual investments," Journal of Geographical Systems, Springer, vol. 18(3), pages 265-301, July.
    17. David Levinson & Wei Chen, 2007. "Area Based Models of New Highway Route Growth," Working Papers 200708, University of Minnesota: Nexus Research Group.
    18. 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.

    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
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • D10 - Microeconomics - - Household Behavior - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tpe:jtecpo:v:37:y:2003:i:3:p:297-318. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: http://www.bath.ac.uk/e-journals/jtep .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.