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Assessing climate change vulnerability with group multi-criteria decision making approaches

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  • Yeonjoo Kim
  • Eun-Sung Chung

Abstract

This study developed an approach to assess the vulnerability to climate change and variability using various group multi-criteria decision-making (MCDM) methods and identified the sources of uncertainty in assessments. MCDM methods include the weighted sum method, one of the most common MCDM methods, the technique for order preference by similarity to ideal solution (TOPSIS), fuzzy-based TOPSIS, TOPSIS in a group-decision environment, and TOPSIS combined with the voting methods (Borda count and Copeland’s methods). The approach was applied to a water-resource system in South Korea, and the assessment was performed at the province level by categorizing water resources into water supply and conservation, flood control and water-quality sectors according to their management objectives. Key indicators for each category were profiled with the Delphi surveys, a series of questionnaires interspersed with controlled opinion feedback. The sectoral vulnerability scores were further aggregated into one composite score for water-resource vulnerability. Rankings among different MCDM methods varied in different degrees, but noticeable differences in the rankings from the fuzzy- and non-fuzzy-based methods suggested that the uncertainty with crisp data, rather widely used, should be acknowledged in vulnerability assessment. Also rankings from the voting-based methods did not differ much from those from non-voting-based (i.e., average-based) methods. Vulnerability rankings varied significantly among the different sectors of the water-resource systems, highlighting the need to assess the vulnerability of water-resource systems according to objectives, even though one composite index is often used for simplicity. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Yeonjoo Kim & Eun-Sung Chung, 2013. "Assessing climate change vulnerability with group multi-criteria decision making approaches," Climatic Change, Springer, vol. 121(2), pages 301-315, November.
  • Handle: RePEc:spr:climat:v:121:y:2013:i:2:p:301-315
    DOI: 10.1007/s10584-013-0879-0
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    References listed on IDEAS

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    3. Mohamed Hamouda & Mohamed Nour El-Din & Fawzia Moursy, 2009. "Vulnerability Assessment of Water Resources Systems in the Eastern Nile Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(13), pages 2697-2725, October.
    4. Eun-Sung Chung & Kil Lee, 2009. "Identification of Spatial Ranking of Hydrological Vulnerability Using Multi-Criteria Decision Making Techniques: Case Study of Korea," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2395-2416, September.
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    2. Cai, Yanpeng & Applegate, Scott & Yue, Wencong & Cai, Jianying & Wang, Xuan & Liu, Gengyuan & Li, Chunhui, 2017. "A hybrid life cycle and multi-criteria decision analysis approach for identifying sustainable development strategies of Beijing's taxi fleet," Energy Policy, Elsevier, vol. 100(C), pages 314-325.
    3. Gabriela Reis & Francisco Assis Souza Filho & Donald Robert Nelson & Renan Vieira Rocha & Samiria Maria Oliveira Silva, 2020. "Development of a drought vulnerability index using MCDM and GIS: study case in São Paulo and Ceará, Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1781-1799, November.
    4. Nastaran Chitsaz & Mohammad Banihabib, 2015. "Comparison of Different Multi Criteria Decision-Making Models in Prioritizing Flood Management Alternatives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2503-2525, June.
    5. Babak Zolghadr-Asli & Omid Bozorg-Haddad & Maedeh Enayati & Xuefeng Chu, 2021. "A review of 20-year applications of multi-attribute decision-making in environmental and water resources planning and management," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14379-14404, October.
    6. Eun-Sung Chung & Patricia Jitta Abdulai & Hyesun Park & Yeonjoo Kim & So Ra Ahn & Seong Joon Kim, 2016. "Multi-Criteria Assessment of Spatial Robust Water Resource Vulnerability Using the TOPSIS Method Coupled with Objective and Subjective Weights in the Han River Basin," Sustainability, MDPI, vol. 9(1), pages 1-17, December.
    7. Kwangjai Won & Eun-Sung Chung & Sung-Uk Choi, 2015. "Parametric Assessment of Water Use Vulnerability Variations Using SWAT and Fuzzy TOPSIS Coupled with Entropy," Sustainability, MDPI, vol. 7(9), pages 1-19, August.
    8. Cheng He & Liguo Zhou & Weichun Ma & Yuan Wang, 2019. "Spatial Assessment of Urban Climate Change Vulnerability during Different Urbanization Phases," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    9. Alexei Manso Correa Machado & Petr Iakovlevitch Ekel & Matheus Pereira Libório, 2023. "Goal-based participatory weighting scheme: balancing objectivity and subjectivity in the construction of composite indicators," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4387-4407, October.
    10. Horasan, Muhammed Bilal & Kilic, Huseyin Selcuk, 2022. "A multi-objective decision-making model for renewable energy planning: The case of Turkey," Renewable Energy, Elsevier, vol. 193(C), pages 484-504.

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