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A multiple models-multiple users group GIS-based decision support system for land use problems

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  • Jelokhani-Niaraki, Mohammadreza
  • Moradi-Pour, Shahab
  • Samany, Najmeh Neysani
  • Mohammadkhan, Shirin

Abstract

Group GIS-based Decision Support Systems (GGDSSs) have been used as effective tools to involve a particular group of individuals in the process of assessing alternative lands/locations for a particular use. Multiple Models-Multiple Users GGDSSs refer to the systems in which each decision maker may use a different decision model in the group assessment process. The variety and dynamic nature of individual decision models defined by decision makers raises the need for access to diverse sets of spatial data as well as GIS (Geographic Information System) and MCDA (Multicriteria Decision Analysis) functionalities. To overcome this problem, the study presents a Web service-based framework for Multiple Models-Multiple Users GGDSS using OGC (Open Geospatial Consortium) and XMCDA (XML-based Multicriteria Decision Analysis) standards. The usability assessment of the proposed GGDSS shows that majority of the users would like to use this system regularly (40 % strongly agree and 30 % agree), believe it is easy to use (35 % strongly agree and 35 % agree), state that the various functions in this system are well integrated (60 % strongly agree and 20 % agree), believe most people would learn to use it very quickly (60 % strongly agree and 20 % agree), and have a high level of confidence using the system (65 % strongly agree and 5 % agree).

Suggested Citation

  • Jelokhani-Niaraki, Mohammadreza & Moradi-Pour, Shahab & Samany, Najmeh Neysani & Mohammadkhan, Shirin, 2023. "A multiple models-multiple users group GIS-based decision support system for land use problems," Land Use Policy, Elsevier, vol. 134(C).
  • Handle: RePEc:eee:lauspo:v:134:y:2023:i:c:s0264837723003824
    DOI: 10.1016/j.landusepol.2023.106916
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    References listed on IDEAS

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    1. Sébastien Bigaret & Patrick Meyer, 2015. "Supporting the MCDA Process with the diviz workbench," International Handbooks on Information Systems, in: Raymond Bisdorff & Luis C. Dias & Patrick Meyer & Vincent Mousseau & Marc Pirlot (ed.), Evaluation and Decision Models with Multiple Criteria, edition 127, chapter 0, pages 619-638, Springer.
    2. Ferretti, Valentina, 2016. "From stakeholders analysis to cognitive mapping and Multi-Attribute Value Theory: An integrated approach for policy support," European Journal of Operational Research, Elsevier, vol. 253(2), pages 524-541.
    3. Ferretti, Valentina & Montibeller, Gilberto, 2016. "Key challenges and meta-choices in designing and applying multi-criteria spatial decision support systems," LSE Research Online Documents on Economics 65368, London School of Economics and Political Science, LSE Library.
    4. Abolghasem Sadeghi-Niaraki & Mohammadreza Jelokhani-Niaraki & Soo-Mi Choi, 2020. "A Volunteered Geographic Information-Based Environmental Decision Support System for Waste Management and Decision Making," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    5. Ferretti, Valentina, 2016. "From stakeholders analysis to cognitive mapping and Multi Attribute Value Theory: an integrated approach for policy support," LSE Research Online Documents on Economics 65737, London School of Economics and Political Science, LSE Library.
    6. Cailloux, Olivier & Mayag, Brice & Meyer, Patrick & Mousseau, Vincent, 2013. "Operational tools to build a multicriteria territorial risk scale with multiple stakeholders," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 88-97.
    7. Shorabeh, Saman Nadizadeh & Firozjaei, Hamzeh Karimi & Firozjaei, Mohammad Karimi & Jelokhani-Niaraki, Mohammadreza & Homaee, Mehdi & Nematollahi, Omid, 2022. "The site selection of wind energy power plant using GIS-multi-criteria evaluation from economic perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    8. Alessio Ishizaka & Philippe Nemery, 2013. "A Multi-Criteria Group Decision Framework for Partner Grouping When Sharing Facilities," Group Decision and Negotiation, Springer, vol. 22(4), pages 773-799, July.
    9. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
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