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http://hdl.handle.net/10397/103436
| Title: | Mapping the rescue equipment mobilization potential : decision support tool for emergency management | Authors: | Kim, D Hong, T Lee, M Koo, C Kim, J Jeong, K |
Issue Date: | Nov-2017 | Source: | Journal of management in engineering, Nov. 2017, v. 33, no. 6, p. 04017037 | 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. | Keywords: | Emergency response agency Geographic information system Mobilization potential Novel approach Rescue equipment Standard emergency response time |
Publisher: | American Society of Civil Engineers | Journal: | Journal of management in engineering | ISSN: | 0742-597X | EISSN: | 1943-5479 | DOI: | 10.1061/(ASCE)ME.1943-5479.0000550 | Rights: | © 2017 American Society of Civil Engineers. This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://doi.org/10.1061/(ASCE)ME.1943-5479.0000550. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Lee_Mapping_Rescue_Equipment.pdf | Pre-Published version | 1.01 MB | Adobe PDF | View/Open |
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