2020
DOI: 10.36096/ijbes.v2i2.197
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A systematic literature review on multi-criteria decision making in disaster management

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 migra… Show more

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Cited by 4 publications
(2 citation statements)
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References 38 publications
(17 reference statements)
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“…Studies have pointed out the role of MCDA in the decision modeling processes used for risk assessment, resilience, and recovery planning (e.g., Cegan et al 2017;Rand et al 2020;Manyaga et al 2020). Keisler and Linkov (2014) highlight the utility and favorability of MCDA, such as linear additive scoring models in decision recommendations for environment models.…”
Section: Knowledge Gaps and The Necessitymentioning
confidence: 99%
“…Studies have pointed out the role of MCDA in the decision modeling processes used for risk assessment, resilience, and recovery planning (e.g., Cegan et al 2017;Rand et al 2020;Manyaga et al 2020). Keisler and Linkov (2014) highlight the utility and favorability of MCDA, such as linear additive scoring models in decision recommendations for environment models.…”
Section: Knowledge Gaps and The Necessitymentioning
confidence: 99%
“…Decision Support Systems (DSS) are helpful tools for the management of disasters (van de Walle & Turoff, 2008;Quansah, Engel & Rochon, 2010). Various models and multicriteria methods have been proposed for decision-making in disaster management (Zhou et al, 2018;Manyaga, Nilufer & Hajaoui, 2020). In particular, in case of earthquakes, timely post disaster rescue operations could not only reduce greater casualties, but also avoid greater losses to property.…”
Section: Introductionmentioning
confidence: 99%