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A Theoretical Framework for Weight-Value Set Construction in Land Suitability Assessment

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  • Wei-Ning Xiang

    (Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223 USA)

Abstract

When using the rating and weighting (RAW) method in land suitability assessment, planners often substitute the theoretical weight-value range [0, 1] with a weight-value set, an ordered set of discrete values reduced from the continuous weight-value range. In constructing such a weight-value set, one needs to decide on how many weight values should be used (size of the value set) and where in the value range they should be placed (the choice of weight values). At present, one must make these decisions and defend their credibility on the basis of “professional judgments†, as a theoretical framework for such purposes is simply not available. Can a theoretical framework be established so that one can make these decisions systematically? If so, is it advantageous to use such a framework, instead of the existing methods, in constructing weight-value sets? In this paper these two issues are explored. I found that the theoretical weight-value range [0, 1] is actually sliced into segments; that in producing land suitability scores, weight-value sets that are constructed from these segments function just as effectively as the weight-value range; and that a five-rule framework comprised of these weight-value sets offers a higher level of efficiency and greater transparency than existing methods.

Suggested Citation

  • Wei-Ning Xiang, 2000. "A Theoretical Framework for Weight-Value Set Construction in Land Suitability Assessment," Environment and Planning B, , vol. 27(4), pages 599-614, August.
  • Handle: RePEc:sae:envirb:v:27:y:2000:i:4:p:599-614
    DOI: 10.1068/b2538
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    References listed on IDEAS

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    1. Rowe, Michael D. & Pierce, Barbara L., 1982. "Sensitivity of the weighting summation decision method to incorrect application," Socio-Economic Planning Sciences, Elsevier, vol. 16(4), pages 173-177.
    2. Yaniv, Ilan, 1997. "Weighting and Trimming: Heuristics for Aggregating Judgments under Uncertainty," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(3), pages 237-249, March.
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