2019
DOI: 10.1016/j.ijdrr.2019.101308
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Distribution of deficient resources in disaster response situation using particle swarm optimization

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Cited by 10 publications
(4 citation statements)
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References 29 publications
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“…These statements mirror that the quality of response during a disaster is influenced not only by the completeness of equipment but also by the skills of the responders. The limitation of resources emerges as a significant challenge during disaster response, as highlighted by various authors (Baur & Rieck, 2020; Ghaffari et al, 2020; Mondal et al, 2019). The findings are likewise congruent with those of Agub (2017), who noted a common issue in the Philippines' disaster management: the lack of capacity among line agencies and LGUs to undertake DRRM activities.…”
Section: Limited Resourcessupporting
confidence: 68%
“…These statements mirror that the quality of response during a disaster is influenced not only by the completeness of equipment but also by the skills of the responders. The limitation of resources emerges as a significant challenge during disaster response, as highlighted by various authors (Baur & Rieck, 2020; Ghaffari et al, 2020; Mondal et al, 2019). The findings are likewise congruent with those of Agub (2017), who noted a common issue in the Philippines' disaster management: the lack of capacity among line agencies and LGUs to undertake DRRM activities.…”
Section: Limited Resourcessupporting
confidence: 68%
“…Meanwhile, in terms of emergency supplies mechanisms, Tamal et al [35] designed a distribution model for scarce resources, such as food, water, clothing, medical equipment, and rescue workers, for post-disaster relief, and achieved effective coordination for resource allocation. Oluwasegun et al [36] proposed a multi-phase stochastic planning model for the timely distribution of relief supplies.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Generally, they illustrated the levels of suitability for emergency response after an earthquake via a zoning map and did not concentrate on the optimized identification of particular locations (such as those prone to disaster response disruption). Artificial intelligence [ 43 ] and evolutionary algorithms have mainly been used for optimizing procedures [ [44] , [45] , [46] , [47] , [48] , [49] , [50] ].…”
Section: Introductionmentioning
confidence: 99%