A Fuzzy Spatial Multiple Criteria Analysis Methodology for Solid Waste Landfill Siting

Themistoklis D. Kontos () and Yiannis G. Zevgolis
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Themistoklis D. Kontos: Laboratory of Remote Sensing and GIS, Department of Environment, University of the Aegean, University Hill, 81132 Mytilene, Greece
Yiannis G. Zevgolis: Biodiversity Conservation Laboratory, Department of Environment, University of the Aegean, University Hill, 81132 Mytilene, Greece

J, 2024, vol. 7, issue 4, 1-27

Abstract: The process of siting municipal solid waste landfills in Greece faces significant challenges due to land resource limitations, the country’s mountainous and water-permeable terrain, and strong public opposition. This study introduces a novel methodology for optimizing landfill sites on Lemnos Island in the North Aegean Sea using a Fuzzy Spatial Multiple Criteria Analysis (FSMCA) approach. By combining fuzzy sets theory, Geographic Information Systems (GIS), Analytic Hierarchy Process (AHP), spatial autocorrelation, spatial clustering and sensitivity analysis, this methodology addresses the uncertainties and complexities inherent in landfill siting. The decision problem is structured hierarchically into five levels to manage multiple criteria effectively. Criteria weights are determined using AHP, with discrete criteria graded according to Greek and EU guidelines, and continuous criteria evaluated through fuzzy sets theory. The region’s suitability is assessed using multiple criteria analysis, revealing that 9.7% of Lemnos Island is appropriate for landfill placement. Sensitivity analysis confirms the robustness of the methodology to changes in criteria weights. The case study demonstrates the practical application and benefits of FSMCA in a real-world scenario, underscoring its potential to improve sustainable waste management practices and inform policy making.

Keywords: landfill siting; Geographic Information Systems; multiple criteria analysis; fuzzy sets theory; Analytic Hierarchy Process; spatial autocorrelation; spatial clustering (search for similar items in EconPapers)
JEL-codes: I1 I10 I12 I13 I14 I18 I19 (search for similar items in EconPapers)
Date: 2024
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