A Study to Construct a Decision-making Checklist through the Analysis of Past Disaster Case

doi:10.15683/kosdi.2020.06.30.248

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2020 Vol.16, Issue 2 Preview Page Next Page

Original Article

A Study to Construct a Decision-making Checklist through the Analysis of Past Disaster Case 과거 재난사례분석을 통한 재난 의사결정 체크리스트 구성에 관한 연구: 서경민¹ㆍ임상규²ㆍ최우정³*
Kyungmin Seo¹, Sankyu Rheem², Woojung Choi³*; ¹Researcher, Disaster Policy Research Center, National Disaster Management Research Institute, Ulsan, Republic of Korea
²Senior Researcher, Disaster Policy Research Center, National Disaster Management Research Institute, Ulsan, Republic of Korea
³Senior Researcher, Disaster Policy Research Center, National Disaster Management Research Institute, Ulsan, Republic of Korea

30 June 2020. pp. 248-266

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Abstract

Purpose: The purpose of this study is to create a checklist for each type of disaster and to suggest a method for establishing an appropriate response system and making accurate and rapid decision-making. Method: In order to derive checklist factors, previous case analyses (Tropical Storm Rusa (2002), Typhoon Maemi (2003), and Typhoon Chaba (2016) were conducted for typhoon disaster. Grouping was conducted to derive checklist factors by analyzing general status (climate and weather) information and characteristics by case. Result: The case study was divided into national level and county level. In terms of national unit, eight forecasts were included: weather forecast, typhoon landing status, typhoon intensity, typhoon radius, central pressure, heavy rain conditions, movement speed, and route. Local governments should reflect regional characteristics, focusing on the presence or absence of similar typhoons (paths) in the past, typhoon landing time, regional characteristics, population density, prior disaster recovery, recent disaster occurrence history, secondary damage, forecast warning system. A total of eight items were derived. Conclusion: In the event of a disaster, decision making will be faster if the checklist proposed in this study is used and applied. In addition, it can be used as the basic data for disaster planners' response plans in case of disasters, and it is expected to be a more clear and quick disaster preparedness and response because it reflects local characteristics.

Keywords

Typhoon

Disaster situation room

Emergency management Agency

Decision-making checklist

연구목적: 본 연구는 재난유형별 체크리스트 작성을 통해 해당재난에 대한 적합한 대응체계 수립과 정확하고 신속한 의사결정을 위한 방안을 제시하고자 한다. 연구방법: 체크리스트 요인 도출을 위하여 태풍재난을 대상으로 과거 사례분석(태풍 루사(2002), 태풍 매미(2003), 태풍 차바(2016))을 진행하였다. 일반적인 현황(기후･기상)정보와 사례별 특징 등을 분석하여 체크리스트 요인 도출을 위한 그룹핑(grouping)을 진행하였다. 연구결과: 사례조사를 통해 크게 국가단위(National level)와 지자체 단위(county level)로 분류하였다. 국가단위의 항목으로는 기상예보, 태풍상륙여부, 태풍강도, 태풍반경, 중심기압, 호우동반 여부, 이동속도, 이동경로 총 8개를 도출하였고, 지자체 단위에서는 지역특성을 반영해야 항목들을 중심으로 과거 유사 태풍 유무(경로 등), 태풍상륙시점, 지역특성, 인구밀집 시기, 선행재난 복구 여부, 최근 재난발생 이력, 2차 피해, 예･경보 시스템으로 총 8개 항목을 도출하였다. 결론: 재난연구목적: 본 연구는 재난유형별 체크리스트 작성을 통해 해당재난에 대한 적합한 대응체계 수립과 정확하고 신속한 의사결정을 위한 방안을 제시하고자 한다. 연구방법: 체크리스트 요인 도출을 위하여 태풍재난을 대상으로 과거 사례분석(태풍 루사(2002), 태풍 매미(2003), 태풍 차바(2016))을 진행하였다. 일반적인 현황(기후･기상)정보와 사례별 특징 등을 분석하여 체크리스트 요인 도출을 위한 그룹핑(grouping)을 진행하였다. 연구결과: 사례조사를 통해 크게 국가단위(National level)와 지자체 단위(county level)로 분류하였다. 국가단위의 항목으로는 기상예보, 태풍상륙여부, 태풍강도, 태풍반경, 중심기압, 호우동반 여부, 이동속도, 이동경로 총 8개를 도출하였고, 지자체 단위에서는 지역특성을 반영해야 항목들을 중심으로 과거 유사 태풍 유무(경로 등), 태풍상륙시점, 지역특성, 인구밀집 시기, 선행재난 복구 여부, 최근 재난발생 이력, 2차 피해, 예･경보 시스템으로 총 8개 항목을 도출하였다. 결론: 재난

키워드

태풍

재난상황실

재난안전대책본부

의사결정

체크리스트

References

Donghae-si (2002). Flood White Book: Typhoon 「RuSa」.
Gangneung-si (2002). Flood White Book: Typhoon 「RuSa」.
Geije-si (2003). Flood White Book: Typhoon 「Meami」.
Goseong-gun (2002). Flood White Book: Typhoon 「RuSa」(2002. 8. 31 ~ 9. 1).
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KMA (2011). TYPHOON WHITE BOOK, www.kma.go.kr.
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Information

Publisher :The Korean Society of Disaster Information
Publisher(Ko) :한국재난정보학회
Journal Title :Journal of the Society of Disaster Information
Journal Title(Ko) :한국재난정보학회논문집
Volume : 16
No :2
Pages :248-266
DOI :https://doi.org/10.15683/kosdi.2020.06.30.248

[1] Donghae-si (2002). Flood White Book: Typhoon 「RuSa」.

[2] Gangneung-si (2002). Flood White Book: Typhoon 「RuSa」.

[3] Geije-si (2003). Flood White Book: Typhoon 「Meami」.

[4] Goseong-gun (2002). Flood White Book: Typhoon 「RuSa」(2002. 8. 31 ~ 9. 1).

[5] Na, H., Jung, W.-S., Park, J.-K. (2019). "A study on the characteristics of maximum wind speed distributions by typhoon track in the Korea peninsula." Journal of Korea Society for Atmospheric Environment, Vol. 35, No. 1, pp. 36-48.10.5572/KOSAE.2019.35.1.036

[6] KMA (2011). TYPHOON WHITE BOOK, www.kma.go.kr.

[7] KMA (2012). Learn form the last 20 years-Intensive rain Top10, www.weather.go.kr.

[8] KMA (2016). Characteristic of 18^th Typhoon Chaba, www.weather.go.kr.

[9] KMA (2019). Analysis Report on Influence of the Korean Peninsula, www.kma.go.kr.

[10] National institute for disaster prevention (2003), Field Survey Report of Damages Caused by Typhoon Maemi in 2003.

[11] NDMI (2016). 18^th Typhoon 「Chaba」Major damage factor.

[12] NDMI (2017). A Case Study on the Response by Disaster Type.

[13] Nicolas, A.V., Paul, E.T. (2017). "Case Studies in Disaster Response and Emergency Management." Bookkorea.

[14] Samcheok-si (2002). Flood White Book: Typhoon 「RuSa」.

Journal of the Society of Disaster Information ISSN:1976-2208(Print) 2671-5287(Online) 한국재난정보학회논문집

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