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A systematic literature review on multi-criteria decision making in disaster management

Author

Listed:
  • Fawz Manyaga

    (Institute of Higher Education, Ibn Haldun University, Istanbul, Turkey)

  • Nilufer Nilufer

    (Institute of Higher Education, Ibn Haldun University, Istanbul, Turkey)

  • Zineb Hajaoui

    (Institute of Higher Education, Ibn Haldun University, Istanbul, Turkey)

Abstract

This paper through a systematic literature review portrays the academic work that has been done in disaster management by applying multi-criteria decision making. This study reviews 36 academic articles that applied multi-criteria decision-making planning and management of natural disasters i.e. tsunami, floods, heavy rains, earthquake, land sliding, epidemic, pandemic, etc. This study finds out that lack of effective planning and management pre and post disasters is causing loss of human life, temporary migration of locals to safer places, loss of properties, and economic losses. Once the crisis is over, it requires efforts and additional finances to bring life to normal. There are regions where disasters are periodic such as floods in rivers or due to monsoon season. But with effective planning and pre-determined priorities, loss to human life can be mitigated. Disaster management departments need effective planning tools to forecast imminent disasters and prepare accordingly. This study is very relevant to the recent global pandemic COVID-19 that has caused human and economic losses and will leave footprints for the coming years and generations

Suggested Citation

  • Fawz Manyaga & Nilufer Nilufer & Zineb Hajaoui, 2020. "A systematic literature review on multi-criteria decision making in disaster management," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International Academy, vol. 2(2), pages 1-7, April.
    • Handle: RePEc:adi:ijbess:v:2:y:2020:i:2:p:1-7
    DOI: 10.36096/ijbes.v2i2.197
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    File URL: https://bussecon.com/ojs/index.php/ijbes/article/view/197/76
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    References listed on IDEAS

    as
    1. Khabat Khosravi & Ebrahim Nohani & Edris Maroufinia & Hamid Reza Pourghasemi, 2016. "A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making techn," 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. 83(2), pages 947-987, September.
    2. 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.
    3. L N Van Wassenhove, 2006. "Humanitarian aid logistics: supply chain management in high gear," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 475-489, May.
    4. Penjani Hopkins Nyimbili & Turan Erden, 2018. "Spatial decision support systems (SDSS) and software applications for earthquake disaster management with special reference to Turkey," 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. 90(3), pages 1485-1507, February.
    5. Yamei Wang & Zhongwu Li & Zhenghong Tang & Guangming Zeng, 2011. "A GIS-Based Spatial Multi-Criteria Approach for Flood Risk Assessment in the Dongting Lake Region, Hunan, Central China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3465-3484, October.
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    Cited by:

    1. Milad Zamanifar & Timo Hartmann, 2021. "A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problems," Environment Systems and Decisions, Springer, vol. 41(4), pages 633-650, December.

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