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Quadratic versus Linear Models for Land-Use Plan Design

Author

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  • L D Hopkins

    (Department of Landscape Architecture and Institute for Environmental Studies, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA)

Abstract

Quadratic assignment models and linear-programming models have been proposed for land-use plan design. The models represent transportation and divisibility of production differently and have solution algorithms with very different properties, but the most important distinction is that quadratic assignment models can handle externalities whereas linear models without integer side conditions cannot. Therefore quadratic models are useful for plan-making in response to externalities problems, whereas linear models can be used only for plan-making in response to dynamics problems.

Suggested Citation

  • L D Hopkins, 1979. "Quadratic versus Linear Models for Land-Use Plan Design," Environment and Planning A, , vol. 11(3), pages 291-298, March.
    • Handle: RePEc:sae:envira:v:11:y:1979:i:3:p:291-298
    DOI: 10.1068/a110291
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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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