Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details
| Autor: | Gi Woon Kim, Chu Hyun Kim, Jang Won Bae, Taesik Lee, Il-Chul Moon, Hyunjin Lee, Hyun-Rok Lee, Kyohong Shin, Won Chul Cha |
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| Rok vydání: | 2018 |
| Předmět: |
Agent-based model
050210 logistics & transportation 021103 operations research Geospatial analysis Computer science Process (engineering) 05 social sciences 0211 other engineering and technologies 02 engineering and technology computer.software_genre Disaster response Computer security Computer Science Applications Human-Computer Interaction Mass-casualty incident Key factors Risk analysis (engineering) Control and Systems Engineering 0502 economics and business Electrical and Electronic Engineering computer Software |
| Zdroj: | IEEE Transactions on Systems, Man, and Cybernetics: Systems. 48:1454-1469 |
| ISSN: | 2168-2232 2168-2216 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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