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Endogenizing the Rise and Fall of Urban Subcenters via Discrete Programming Models

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  • P Gordon

    (School of Urban and Regional Planning and Department of Economics, University of Southern California, Los Angeles, CA 90089-0042, USA)

  • J E Moore II

    (School of Urban and Regional Planning and Department of Civil Engineering, University of Southern California, Los Angeles, CA 90089-0042, USA)

Abstract

Models that represent the polycentric and dispersed nature of modern cities should be able to account for the rise and fall of subcenters. Based on a review of the programming models applied to urban analysis, five properties are suggested that an adequate model should include. It should: 1 confront the simultaneity between markets for land and transportation services; 2 accommodate the reality of cities as places where externalities and common properties abound; 3 emulate the intertemporal albeit bounded nature of planning and decisionmaking; 4 fully exploit principles of economic theory; and, 5 offer computability. We develop a discrete programming model with these five properties, comparing its capabilities with those of previous approaches.

Suggested Citation

  • P Gordon & J E Moore II, 1989. "Endogenizing the Rise and Fall of Urban Subcenters via Discrete Programming Models," Environment and Planning A, , vol. 21(9), pages 1195-1203, September.
    • Handle: RePEc:sae:envira:v:21:y:1989:i:9:p:1195-1203
    DOI: 10.1068/a211195
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    References listed on IDEAS

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    1. Los, Marc, 1979. "A discrete-convex programming approach to the simultaneous optimization of land use and transportation," Transportation Research Part B: Methodological, Elsevier, vol. 13(1), pages 33-48, March.
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    4. Philip G. Hartwick & John M. Hartwick, 1974. "Efficient Resource Allocation in a Multinucleated City with Intermediate Goods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 88(2), pages 340-352.
    5. Kim, Tschangho John, 1986. "Modeling the density variations of urban land uses with transportation network congestion," Journal of Urban Economics, Elsevier, vol. 19(3), pages 264-276, May.
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    Cited by:

    1. Peter Gordon, 2013. "Thinking about economic growth: cities, networks, creativity and supply chains for ideas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(3), pages 667-684, June.
    2. Moore, II, James E. & Kim, Geunyoung & Cho, Seongdil & Hu, Hsi-hwa & Xu, Rong, 1997. "Evaluating System ATMIS Technologies Via Rapid Estimation Of Network Flows: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5c70f3d9, Institute of Transportation Studies, UC Berkeley.
    3. Peter Gordon, 2012. "Thinking About Economic Growth: Cities, Networks, Creativity and Supply Chains for Ideas," Working Paper 8955, USC Lusk Center for Real Estate.

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