Evaluation of Disaster Response System using Agent-Based Model with Geospatial and Medical Details

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Many disasters have occurred around the world and have caused sizable damage. A disaster, called a mass casualty incident (MCI), generates a large number of casualties that overwhelm the capacity of local medical resources, and the disaster responses to the MCI requires many interactions among the disaster responders. To evaluate the efficiency of the disaster responses against MCIs, this paper proposes an agent-based model describing the cooperations among the responders during the overall process in the disaster responses from transporting patients to their definitive care. In particular, the proposed model includes geospatial details, such as the road network and the location of hospitals around the disaster scene, and medical information, such as the distribution of medical resources and transporting units, in the region of interest to discover the key factors of the disaster response system that customized to the target region. The case study in this paper presents that the proposed approach was applied to describe a disaster response system and illustrates how the additional details are utilized to analyze the disaster response system. We expect that the proposed method can provide comprehensive insights to a disaster response system of interest, and it can be used as groundwork for improving the disaster response system.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2018-09
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v.48, no.9, pp.1454 - 1469

ISSN
2168-2216
DOI
10.1109/TSMC.2017.2671340
URI
http://hdl.handle.net/10203/245562
Appears in Collection
IE-Journal Papers(저널논문)
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