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Impact of proximity-adjusted preferences on rank-order stability in geographical multicriteria decision analysis

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Abstract

This paper presents a new approach to deriving preferences assigned to evaluation criteria in geographical multicriteria decision analysis. In this approach, the preferences, expressed by numeric weights, are adjusted by distance measures derived from the explicit consideration of a locational structure. The structure is given by locations of decision options and high importance reference objects. The approach is demonstrated on the example of a house selection case study in San Diego, California. The results show that proximity-adjusted preferences for the evaluation criteria can alter significantly the rank order of decision options. Consequently, the explicit modeling of spatial preference variability may be needed in order to better account for decision-maker’s preferences.

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Acknowledgments

The authors would like to acknowledge critical and constructive comments from three anonymous reviewers on the previous version of the manuscript.

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Authors and Affiliations

  1. Department of Geography and Environmental Science and Policy Program, Michigan State University, 130 Geography Bldg, East Lansing, MI, 48824-1117, USA

    Arika Ligmann-Zielinska

  2. Department of Geography, San Diego State University, San Diego, CA, USA

    Piotr Jankowski

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  1. Arika Ligmann-Zielinska
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  2. Piotr Jankowski
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Correspondence to Arika Ligmann-Zielinska.

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Ligmann-Zielinska, A., Jankowski, P. Impact of proximity-adjusted preferences on rank-order stability in geographical multicriteria decision analysis. J Geogr Syst 14, 167–187 (2012). https://doi.org/10.1007/s10109-010-0140-6

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  • DOI: https://doi.org/10.1007/s10109-010-0140-6

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