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A Linear Programming Approach to Floodplain Land Use Planning in Urban Areas

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  • John C. Day

Abstract

Floodplain land use management is a new approach to flood loss prevention which will complement engineering works and lead to more intelligent use and development of urban floodplain areas. Land use management may be structured as an optimization problem. Nonlinear or dynamic programming is inappropriate, and a linear programming assignment model is shown to be capable of identifying constrained efficiency combinations of spatial and temporal urban floodplain use, site elevation through land fill, and floodproofing of buildings. Sensitivity testing, however, is required because of possible nonlinearities.

Suggested Citation

  • John C. Day, 1973. "A Linear Programming Approach to Floodplain Land Use Planning in Urban Areas," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(2), pages 165-174.
  • Handle: RePEc:oup:ajagec:v:55:y:1973:i:2:p:165-174.
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    File URL: http://hdl.handle.net/10.2307/1238433
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    Cited by:

    1. Castle, Emery N. & Kelso, Maurice M. & Stevens, Joe B. & Stoevener, Herbert H., 1981. "PART III. Natural Resource Economics, 1946-75," AAEA Monographs, Agricultural and Applied Economics Association, number 337228, january.
    2. Oléron-Evans, Thomas P. & Salhab, Melda, 2021. "Optimal land use allocation for the Heathrow opportunity area using multi-objective linear programming," Land Use Policy, Elsevier, vol. 105(C).
    3. Kaul, Jawahar L. & Willis, Cleve E., 1975. "An Application Of A Floodplain Land Use Decision Framework With Zero-One Controls," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 4(1), pages 1-12, April.
    4. Kaul, Jawahar L. & Willis, Cleve E., 1975. "An Application Of A Floodplain Land Use Decision Framework With Zero-One Controls," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 1), pages 1-12, April.

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