Developing an Automated Analytical Process for Disaster Response and Recovery in Communities Prone to Isolation

Byungyun Yang, Minjun Kim, Changkyu Lee, Suyeon Hwang and Jinmu Choi ()
Additional contact information
Byungyun Yang: Department of Geography Education, Dongguk University, Seoul 04620, Korea
Minjun Kim: Department of Geography, Kyung Hee University, Seoul 02447, Korea
Changkyu Lee: Department of Geography, Kyung Hee University, Seoul 02447, Korea
Suyeon Hwang: Department of Geography, Kyung Hee University, Seoul 02447, Korea
Jinmu Choi: Department of Geography, Kyung Hee University, Seoul 02447, Korea

IJERPH, 2022, vol. 19, issue 21, 1-19

Abstract: Today, unpredictable damage can result from extreme weather such as heat waves and floods. This damage makes communities that cannot respond quickly to disasters more vulnerable than cities. Thus, people living in such communities can easily become isolated, which can cause unavoidable loss of life or property. In the meantime, many disaster management studies have been conducted, but studies on effective disaster response for areas surrounded by mountains or with weak transportation infrastructure are very rare. To fill the gap, this research aimed at developing an automated analysis tool that can be directly used for disaster response and recovery by identifying in real time the communities at risk of isolation using a web-based geographic information system (GIS) application. We first developed an algorithm to automatically detect communities at risk of isolation due to disaster. Next, we developed an analytics module to identify buildings and populations within the communities and efficiently place at-risk residents in shelters. In sum, the analysis tool developed in this study can be used to support disaster response decisions regarding, for example, rescue activities and supply of materials by accurately detecting isolated areas when a disaster occurs in a mountainous area where communication and transportation infrastructure is lacking.

Keywords: communities at risk of isolation; evacuation routes; disaster management; web map (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/21/13995/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/21/13995/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:21:p:13995-:d:955365

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().