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

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 249
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorBae, Jang Wonko
dc.contributor.authorShin, Kyohongko
dc.contributor.authorLee, Hyun-Rokko
dc.contributor.authorLee, Hyun Jinko
dc.contributor.authorLee, Tae-Sikko
dc.contributor.authorKim, Chu Hyunko
dc.contributor.authorCha, Won-Chulko
dc.contributor.authorKim, Gi Woonko
dc.contributor.authorMoon, Il-Chulko
dc.date.accessioned2018-09-18T06:23:24Z-
dc.date.available2018-09-18T06:23:24Z-
dc.date.created2017-03-07-
dc.date.created2017-03-07-
dc.date.created2017-03-07-
dc.date.issued2018-09-
dc.identifier.citationIEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v.48, no.9, pp.1454 - 1469-
dc.identifier.issn2168-2216-
dc.identifier.urihttp://hdl.handle.net/10203/245562-
dc.description.abstractMany 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.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleEvaluation of Disaster Response System using Agent-Based Model with Geospatial and Medical Details-
dc.typeArticle-
dc.identifier.wosid000442360400004-
dc.identifier.scopusid2-s2.0-85051804043-
dc.type.rimsART-
dc.citation.volume48-
dc.citation.issue9-
dc.citation.beginningpage1454-
dc.citation.endingpage1469-
dc.citation.publicationnameIEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS-
dc.identifier.doi10.1109/TSMC.2017.2671340-
dc.contributor.localauthorLee, Tae-Sik-
dc.contributor.localauthorMoon, Il-Chul-
dc.contributor.nonIdAuthorBae, Jang Won-
dc.contributor.nonIdAuthorKim, Chu Hyun-
dc.contributor.nonIdAuthorCha, Won-Chul-
dc.contributor.nonIdAuthorKim, Gi Woon-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorAgent-based model-
dc.subject.keywordAuthordisaster response system-
dc.subject.keywordAuthorgeospatial and medical details-
dc.subject.keywordAuthormass casualty incident (MCI)-
dc.subject.keywordPlusSIMULATION-
dc.subject.keywordPlusEVACUATION-
Appears in Collection
IE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0