Mapping the Rescue Equipment Mobilization Potential

Decision Support Tool for Emergency Management

Daeho Kim, Taehoon Hong, Minhyun Lee, Choongwan Koo, Jimin Kim, Kwangbok Jeong

Research output: Contribution to journalArticle

Abstract

From a managerial perspective, prediagnosis of emergency response potential and decision support during rescue operations are essential for improving emergency response capability. Toward this end, this paper introduces a novel index to measure equipment availability at a certain location and time: rescue equipment mobilization potential within standard emergency response time (REMPSERT), which was estimated and visualized in a map based on the geographic information system (GIS). It is shown that the accuracy of the proposed map was in a highly acceptable range (i.e., 92.4%) compared with a commercialized navigation system. Using the validated map, two case studies are presented: (1) the prediagnosis of response potential (case: Seoul), and (2) the decision support for optimal dispatching of rescue equipment (case: Mauna Ocean Resort collapse), through which the utility and efficacy of the proposed map in emergency management were verified.

Original languageEnglish
Article number04017037
JournalJournal of Management in Engineering
Volume33
Issue number6
DOIs
Publication statusPublished - 2017 Nov 1

Fingerprint

Navigation systems
Geographic information systems
Availability
Emergency response
Emergency management
Decision support
Mobilization
Response time
Dispatching
Resorts
Efficacy
Navigation

All Science Journal Classification (ASJC) codes

  • Industrial relations
  • Engineering(all)
  • Strategy and Management
  • Management Science and Operations Research

Cite this

Kim, Daeho ; Hong, Taehoon ; Lee, Minhyun ; Koo, Choongwan ; Kim, Jimin ; Jeong, Kwangbok. / Mapping the Rescue Equipment Mobilization Potential : Decision Support Tool for Emergency Management. In: Journal of Management in Engineering. 2017 ; Vol. 33, No. 6.
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Mapping the Rescue Equipment Mobilization Potential : Decision Support Tool for Emergency Management. / Kim, Daeho; Hong, Taehoon; Lee, Minhyun; Koo, Choongwan; Kim, Jimin; Jeong, Kwangbok.

In: Journal of Management in Engineering, Vol. 33, No. 6, 04017037, 01.11.2017.

Research output: Contribution to journalArticle

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