Comprehensive Evaluation of Land Use Planning Alternatives Based on GIS-ANP

Zizhan Jiang (), Burrell Montz and Thomas Vogel
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Zizhan Jiang: Big Data and Artificial Intelligence School, Anhui Institute of Information Technology, Wuhu 241199, China
Burrell Montz: Department of Geography, Planning, & Environment, East Carolina University, Greenville, NC 27858, USA
Thomas Vogel: Department of Coastal Studies, East Carolina University, Greenville, NC 27858, USA

Land, 2023, vol. 12, issue 8, 1-21

Abstract: Planning alternatives evaluation is often influenced by the evaluator’s background knowledge and preferences, and its objectivity is hard to guarantee. A comprehensive evaluation method combining Geographic Information System (GIS) with system analysis technology is proposed in this paper. Using a land use issue in America as an example, GIS was combined with Fuzzy Logic, and the Analytic Network Process (ANP) method was used to evaluate three planning alternatives. The evaluation value of each qualitative index was obtained by Fuzzy Comprehensive Evaluation, and the quantitative index value was calculated by GIS algorithms. A weighted hypermatrix of ANP network was constructed to reveal the overall relative importance weight of alternatives. The results indicate that, in this case study, the factor weight rankings that influenced the selection of the land use alternative are Ecological factors (above 40%), socioeconomic factors (30%), Physical and Chemical factors (10–17%), and cumulative related factors (10%). In the long run, choices of planning alternatives will greatly affect the natural environment, the physical and chemical environment, and the social economy. The results indicate planners have to pay attention to a wide range of both qualitative and quantitative factors as much as possible in land use decisions. This study illustrates how the GIS-ANP method combine qualitative and quantitative factors in planning for a comprehensive analysis, thus improving the objectivity of evaluating land use planning alternatives and determining the importance of influencing factors. Future work aims to optimize the evaluation index system of planning, and measure index values in a more precise way.

Keywords: analytic network process; fuzzy comprehensive evaluation; geographic information system; planning alternative evaluation (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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