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Multiple Criteria Land Use Analysis

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  • G. Fischer
  • M. Makowski
  • J. Antoine

Abstract

Since the early 1980's, the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA) have been collaborating on expanding FAOs Agro-Ecological Zones (AEZ) Methodology of land resources appraisal by incorporating decision support tools for optimizing the use of land resources. Initially these tools consisted in the application of linear optimization techniques for analyzing land-use scenarios with regard to single objective functions, such as maximizing agricultural production or minimizing the cost of production under specific physical environmental and socio-economic conditions and constraints. Often the specification of a single objective function does not adequately reflect the preferences of decision-makers, which are of a multi-objective nature in many practical problems dealing with resources. Multi-objective optimization approaches address problem definitions and solutions in a more realistic way and have recently been applied by FAO and IIASA in a land resources appraisal study in Kenya. In this study, multi-objective optimization coupled with multi-criteria decision analysis (MCDA) techniques, using the Aspiration Reservation Based Decision Support (ARBDS) approach, have been used to analyze various land use scenarios, considering simultaneously several objectives such as maximizing revenues from crop and livestock production, maximizing district self-reliance in agricultural production, minimizing costs of production and environmental damages from erosion. The main users of the new tool being developed, which combines AEZ and MCDA, are expected to be natural resources analysts and managers, land-use planners, ecologists, environmentalists, economists at national and regional levels, and agricultural extensionists at the local scale.

Suggested Citation

  • G. Fischer & M. Makowski & J. Antoine, 1996. "Multiple Criteria Land Use Analysis," Working Papers wp96006, International Institute for Applied Systems Analysis.
  • Handle: RePEc:wop:iasawp:wp96006
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    References listed on IDEAS

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    Cited by:

    1. A.P. Wierzbicki, 1998. "Reference Point Methods in Vector Optimization and Decision Support," Working Papers ir98017, International Institute for Applied Systems Analysis.
    2. J. Granat & M. Makowski, 1998. "ISAAP - Interactive Specification and Analysis of Aspiration-Based Preferences," Working Papers ir98052, International Institute for Applied Systems Analysis.
    3. Sante, Ines & Crecente, Rafael, 2007. "LUSE, a decision support system for exploration of rural land use allocation: Application to the Terra Cha district of Galicia (N.W. Spain)," Agricultural Systems, Elsevier, vol. 94(2), pages 341-356, May.
    4. Zucaro, Raffaella & Rago, C. & Vollaro, Michele, 2012. "Valutazione tecnico-economica delle potenzialità di riutilizzo irriguo dei reflui depurati: il caso della Valpadana," 2012 First Congress, June 4-5, 2012, Trento, Italy 124115, Italian Association of Agricultural and Applied Economics (AIEAA).
    5. Prato, Tony & Herath, Gamini, 2007. "Multiple-criteria decision analysis for integrated catchment management," Ecological Economics, Elsevier, vol. 63(2-3), pages 627-632, August.
    6. Prato, Tony, 1999. "Multiple attribute decision analysis for ecosystem management," Ecological Economics, Elsevier, vol. 30(2), pages 207-222, August.
    7. G. Fischer & J. Granat & M. Makowski, 1998. "AEZWIN An Interactive Multiple-Criteria Analysis Tool for Land Resources Appraisal," Working Papers ir98051, International Institute for Applied Systems Analysis.
    8. Keyzer, Michiel A. & Voortman, Roelf L., 1998. "Research needs and methods for decentralised economic planning," Agricultural Systems, Elsevier, vol. 58(3), pages 351-366, November.

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