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Spatial multicriteria decision support for robust land-use suitability: The case of landfill site selection in Northeastern Greece

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  • Demesouka, Olympia E.
  • Anagnostopoulos, Konstantinos P.
  • Siskos, Eleftherios

Abstract

Multicriteria spatial decision support systems (MC-SDSS) have emerged as an integration of geographical information systems (GIS) and multiple criteria decision aid (MCDA) methods for incorporating conflicting objectives and decision makers’ preferences into spatial decision models. In this paper, we present spatial UTASTAR (S-UTASTAR), a raster-based MC-SDSS for land-use suitability analysis. The multicriteria component of the system is based on the UTA-type disaggregation-aggregation approach. S-UTASTAR is applied in a raster-based case study concerning land-use suitability analysis to identify appropriate municipal solid waste landfill (MSW) sites in Northeast Greece. Moreover, robustness analysis tools are implemented to guarantee robust decision support results. More specifically, during the aggregation phase, the Stochastic Multiobjective Acceptability Analysis (SMAA) is used to indicate the frequency at which a site achieves the best ranking positions within a large set of alternative landfill sites.

Suggested Citation

  • Demesouka, Olympia E. & Anagnostopoulos, Konstantinos P. & Siskos, Eleftherios, 2019. "Spatial multicriteria decision support for robust land-use suitability: The case of landfill site selection in Northeastern Greece," European Journal of Operational Research, Elsevier, vol. 272(2), pages 574-586.
    • Handle: RePEc:eee:ejores:v:272:y:2019:i:2:p:574-586
    DOI: 10.1016/j.ejor.2018.07.005
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    3. Mehmet Ali Dereli & Emre Tercan, 2021. "Comparison of GIS-based surrogate weighting methods for multi-directional landfill site selection in West Mediterranean Planning Region in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3438-3457, March.
    4. Caprioli, Caterina & Bottero, Marta, 2021. "Addressing complex challenges in transformations and planning: A fuzzy spatial multicriteria analysis for identifying suitable locations for urban infrastructures," Land Use Policy, Elsevier, vol. 102(C).
    5. Xiaoyu Yang & Xiaopeng Guo & Kun Yang, 2021. "Redesigning the Municipal Solid Waste Supply Chain Considering the Classified Collection and Disposal: A Case Study of Incinerable Waste in Beijing," Sustainability, MDPI, vol. 13(17), pages 1-20, September.
    6. Hamilton, Timothy L. & Eynan, Amit, 2023. "Siting noxious facilities: Efficiency and majority rule decisions," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1344-1354.
    7. Qiwen Chen & Hui Liu & Peng Mao & Junjie Qian & Yongtao Tan & Xiaer Xiahou & Peng Cui, 2022. "How Does NIMBYism Influence Residents’ Behavioral Willingness to Dispose of Waste in Centralized Collection Points?—An Empirical Study of Nanjing, China," IJERPH, MDPI, vol. 19(23), pages 1-21, November.
    8. Smedberg, Henrik & Bandaru, Sunith, 2023. "Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1311-1329.

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