한국재난정보학회 논문집 (Journal of the Society of Disaster Information)

  • 제16권3호
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  • Pages.493-504
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  • 2020
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  • 1976-2208(pISSN)
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  • 2671-5287(eISSN)
한국재난정보학회 (The Korean Society of Disaster Information)
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RFM 모형을 활용한 지역별 재해 위험도 분석 방법론 제안

Proposal Methodology for Disaster Risk Analysis by Region Using RFM Model

  • Kim, TaeJin (Safety Research Division, National Disaster Management Research Institute) ;
  • Kim, SungSoo (Safety Research Division, National Disaster Management Research Institute) ;
  • Jeon, DaHee (Safety Research Division, National Disaster Management Research Institute) ;
  • Park, SangHyun (Safety Research Division, National Disaster Management Research Institute)
  • 투고 : 2020.05.29
  • 심사 : 2020.07.31
  • 발행 : 2020.09.30
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초록

연구목적: 본 연구는 재해위험지역을 개선하는 재해예방사업을 실시하는 과정에서 예방사업의 우선순위를 선정하기 위한 분석 방법론 제안을 목적으로 한다. 연구방법:최근성(Recency), 빈도성(Frequency), 화폐성(Monetary)을 기준으로 데이터의 등급을 나누고 타겟 마케팅을 수행할 수 있는 RFM 모형을 활용하여 데이터 분석을 수행하였다. 연구결과: RFM 값이 높은 상위 10% 지역이 동해와 남해 연안을 중심으로 나타났으며, 피해 유형을 살펴보면 사유시설의 피해 건수가 크게 나타났다. 결론: 본 연구에서는 RFM 모형을 활용하여 재해위험의 우선순위를 선정하고 GIS를 활용한 지역재해위험도를 구현하였다. 이러한 결과는 재해예방사업의 우선 사업대상지를 선정할 수 있는 기초자료와 재해예방사업의 의사결정 과정에서 기초자료로 활용되기를 기대한다.

Purpose: The purpose of this study is to propose an analytical methodology for selecting the priority of preventive projects in the course of carrying out disaster prevention projects that improve disaster-hazardous areas. Method: Data analysis was performed using RFM model which can divide data grade and perform target marketing based on Recency, Frequency, and Monetary. Result: The top 10% of the area with high RFM value was mainly in the East Sea and the South Sea coast, and the number of damage in private facilities was high. Conclusion: In this study, we used the RFM model to select the priority of disaster risk and to implement the regional disaster risk using GIS. These results are expected to be used as basic data for selecting priority project sites for disaster prevention projects and as basic data in the decision-making process for disaster prevention projects.

키워드

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