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Jurisdictional Control and Network Growth

Author

Listed:
  • Feng Xie
  • David Levinson

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

Abstract

Transport infrastructure evolves over time in a complex process as part of a dynamic and open system including travel demand, land use, as well as economic and political initiatives. As transport infrastructure changes, each traveler may adopt a new schedule, frequency, destination, mode, and/or route, and in the long term may change the location of their activities. These new behaviors create demand for a new round of modifications of infrastructure. In the long run, we observe the collective change in the capacity, service, connectivity, and connection patterns (topology) of networks. This paper examines how a fixed set of places incrementally gets connected as transport networks are constructed and upgraded over time. A Simulator Of Network Incremental Connection (SONIC) is constructed to model the process of incremental connections and examines how networks evolve differently under centralized versus decentralized jurisdictional initiatives. Exploring the mechanism underlying this dynamic process can answer questions such as how urban networks have developed into various topologies, which network patterns are more efficient, and whether and how transport engineers, planners, and decision makers can guide the dynamics of land uses and infrastructure in a desired direction.

Suggested Citation

  • Feng Xie & David Levinson, 2007. "Jurisdictional Control and Network Growth," Working Papers 200906, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:sonic
    as

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    File URL: http://hdl.handle.net/11299/179981
    File Function: First version, 2007
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    References listed on IDEAS

    as
    1. David Levinson & Bhanu Yerra, 2006. "Self-Organization of Surface Transportation Networks," Transportation Science, INFORMS, vol. 40(2), pages 179-188, May.
    2. 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.
    3. Paul Anderson & David Levinson & Pavithra Parthasarathi, 2011. "Accessibility Futures," Working Papers 000088, University of Minnesota: Nexus Research Group.
    4. Lei Zhang & David Levinson, 2006. "The Economics of Transportation Network Growth," Working Papers 200710, University of Minnesota: Nexus Research Group.
    5. Bhanu Yerra & David Levinson, 2005. "The emergence of hierarchy in transportation networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 39(3), pages 541-553, September.
    6. David Levinson & Feng Xie & Norah Oca, 2012. "Forecasting and Evaluating Network Growth," Networks and Spatial Economics, Springer, vol. 12(2), pages 239-262, June.
    7. Lei Zhang & David Levinson, 2005. "Road Pricing with Autonomous Links," Working Papers 200506, University of Minnesota: Nexus Research Group.
    8. Humplick, Frannie & Moini-Araghi, Azadeh, 1996. "Is there an optimal structure for decentralized provision of roads?," Policy Research Working Paper Series 1657, The World Bank.
    9. Feng Xie & David Levinson, 2007. "The Weakest Link: A Model of the Decline of Surface Transportation Networks," Working Papers 200803, University of Minnesota: Nexus Research Group.
    10. Feng Xie & David Levinson, 2009. "Modeling the Growth of Transportation Networks: A Comprehensive Review," Networks and Spatial Economics, Springer, vol. 9(3), pages 291-307, September.
    11. Humplick, Frannie & Moini-Araghi, Azadeh, 1996. "Decentralized structures for providing roads : a cross-country comparison," Policy Research Working Paper Series 1658, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. David Levinson, 2009. "Introduction to the Special Issue on the Evolution of Transportation Network Infrastructure," Networks and Spatial Economics, Springer, vol. 9(3), pages 289-290, September.
    2. Levinson, David & Xie, Feng, 2011. "Does First Last? The Existence and Extent of First Mover Advantages on Spatial Networks," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 4(2), pages 47-69.
    3. 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.
    4. Xiushan Jiang & Lei Zhang & Chenfeng Xiong & Ruijun Wang, 2016. "Transportation and Regional Economic Development: Analysis of Spatial Spillovers in China Provincial Regions," Networks and Spatial Economics, Springer, vol. 16(3), pages 769-790, September.
    5. Astrid G├╝hnemann & Andrew Koh & Simon Shepherd, 2016. "Optimal Charging Strategies under Conflicting Objectives for the Protection of Sensitive Areas: A Case Study of the Trans-Pennine Corridor," Networks and Spatial Economics, Springer, vol. 16(1), pages 199-226, March.

    More about this item

    Keywords

    Network growth; Transport economics; Incremental connection;

    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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