DOI QR코드

DOI QR Code

Analyzing The Economic Impact of The Fire Risk Reduction at Regional Level in Goyang City

지역단위 화재 위험도 저감의 고양시 경제적 파급효과 분석

  • Son, Minsu (Korea Institute of Civil Engineering and Building Technology) ;
  • Cho, Dongin (MUREPA Korea) ;
  • Park, Chang Keun (Research Institute of Agriculture and Life Sciences, Seoul National University) ;
  • Ko, Hyun A (Korea Institute of Civil Engineering and Building Technology) ;
  • Jung, Seunghyun (Korea Institute of Civil Engineering and Building Technology)
  • Received : 2020.10.20
  • Accepted : 2021.02.05
  • Published : 2021.02.28

Abstract

This study examined the fire risk of the region in Goyang City using the spatial information data of buildings. The economic damage by industry was assessed according to the probability of fire risk. The study area was confined to Goyang-si, Gyeonggi-do, and the same fire risk reduction rate was applied to each region for the convenience of analysis. The possibility of fire was derived based on the buildings' density and usage in the area by National GIS building-integrated information standard data. The calculation of economic damage by industry in Goyang City due to the fire risk was calculated by combining the Goyang-si industry-related model produced by matching with 30 industrial categories in Input-Output Statistics of Korea Bank and 20 industrial categories in the Goyang-si business survey and the possibility of fire. The basic scenario of production impossibility during six months and business loss due to fire was established and analyzed based on the supply model. The analysis showed that Ilsan-dong-gu, Ilsan-seo-gu, and Deokyang-gu suffered the most economic damage. The "electricity, gas, steam, and water business" showed the greatest loss by industry.

본 연구에서는 '전국GIS건물통합정보표준데이터'의 건축물 공간정보 자료를 활용하여 고양시 지역단위의 화재발생 위험도를 산출하고 화재발생 확률에 따른 산업별 경제적 피해를 분석하였다. 분석의 편의상 공간적 범위는 경기도 고양시로 제한하였고, 지역 단위별로 동일한 화재위험 감소율을 적용하였다. 먼저, 지역별 화재 위험도를 평가하기 위해 건축물 공간정보 자료를 이용하여, DB 구축, 지표 설정, 공간 분석의 과정을 거쳐 표준화된 화재 발생 가능성을 도출하였다. 다음으로 한국은행 산업 연관표 대분류 30개 산업구분과 고양시 사업체조사 20개 산업구분과 매칭하여 고양시 산업연관표를 생성하였다. 최종적으로 화재 위험에 따른 고양시의 산업별 경제적 피해 산출은 고양시 산업연관표와 화재발생 가능성을 결합하여 산출하였다. 화재로 인한 6개월 생산 불가와 영업 손실이라는 기본 시나리오를 설정하여 공급모형을 기반으로 분석하였다. 분석결과, 일산동구, 일산서구, 덕양구의 순으로 경제적 피해가 큰 것으로 나타났고, 산업별로는 '전기, 가스, 증기 및 수도사업'이 가장 큰 손실이 발생하는 것으로 나타났다. 공간과 산업적인 측면에서 일산서구의 '전기, 가스, 증기 및 수도사업' 손실이 전체의 약 60% 비중을 차지하였다.

Keywords

References

  1. J.E. Heo, G.Y. Jeon, W.H. Hong, "Study on the Fire Risk Assessment in CBD based on the Characteristic Features of Fire Damage", Journal of The Architectural Institute of Korea Planning & Design, vol.25, no.3, pp. 247-254, Mar. 2009.
  2. H. Hwang, K. Baek, B. Park, M. Lee, J. Hwang, E. Ryu, T. Kim, "Empirical Application for the Urban Disaster Risk Assessment: Fire, Facility and Escape Cases in Cheongju City", Journal of The Korean Society of Hazard Mitigation, vol.1, no.2, pp.123-137, Sep. 2001.
  3. H. Ryu, W. Hong, "Research of a Disaster Risk Assessment for Reducing Disaster on Urban Areas", Journal of the Architectural Institute of Korea, vol.21, no.11, pp.277-285, 2005.
  4. Y. Kim, S. Shin, Developing a Risk Assessment Method for the Mitigation of Urban Disasters, Seoul Development Institute., Korea, 2009.
  5. J.D. Shin, S.H Jeong, M.S. Kim, H.J Kim. "Analysis of Fire Risk with Building Use Type Using Statistical Data", Journal of Disaster Management, vol.12, no.4, pp.107-114, 2012.
  6. M. Son, J.Y. Park, H.S. Kim. "Urban Environmental Risk-Evaluating Flooding Risk Indices of Seoul," Seoul Studies, vol.14, no.4, pp.127-140, 2013.
  7. M. Son H. Ko, Socio-economic Impacts and Policy Evauluation on the Safety Technologies about Fire in Goyang city, Korea institute of civil engineering and building technology, Korea, 2019.
  8. P Gordon, J.Y. Park, H.W. Richardson. "Modeling input-output impacts with substitutions in the household sector: A numerical example", Economic Modelling, vol.23, no.3, pp.696-701, 2009.
  9. J.Y. Park, P Gordon, JE Moore II, HW Richardson, "A New Approach to Quantifying the Impact of Hurricane-Disrupted Oil Refinery Operations Utilizing Secondary Data," Group Decision and Negotiation, vol.26, no.6, pp.1125-1144, 2017. https://doi.org/10.1007/s10726-017-9537-7
  10. J.Y. Park, HW Richardson. "Refining the Isard Multiregional Input-Output Model Theory," in Peter Nijkamp, Adam Rose, and Karima Kourtit eds. Regional Science Matters: Studies Dedicated to Walter Isard, Springer-Verlag., pp. 35-54, 2014.
  11. A. Getis, J.K. Ord. "The analysis of spatial association by use of distance statistics," in Perspectives on spatial data analysis. Springer, Berlin, Heidelberg, pp. 127-145, 2010.