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Local Imbalance of Emergency Medical Services(EMS): Analyses on 119 EMS Activity Reports of Busan

구급서비스의 지역 불균형: 부산시 119 구급활동일지 분석

  • Lee, Dalbyul (Dept. of Fire and Disaster Management, Dong-eui University)
  • 이달별 (동의대학교 소방방재행정학과)
  • Received : 2020.08.09
  • Accepted : 2020.08.31
  • Published : 2020.09.30

Abstract

This study analyzed local imbalances in the supply and demand of emergency medical services in Busan using the 119 emergency activity reports of the Busan Fire & Disaster Headquarters. The data for EMS activity reports in 2017 was converted into Jimgyegu units. The spatial distribution of the indicators representing the local imbalance of emergency demand and supply (number of reports, number of reports relative to the population, average coefficient of variation and outlier of on-site arrival time, and number of dispatches outside the jurisdiction) was analyzed using Hotspot analysis of GIS spatial statistics analysis. As a result of the analysis, the hot spot area and the cold spot area where both supply and demand of emergency services are concentrated were clearly distinguished. This means that the supply and demand of emergency services in Busan are locally unbalanced. In particular, there was a difference in the demand and supply of emergency services in the original downtown and its surrounding areas, and in the outskirts of Busan.

이 연구는 부산소방재난본부의 119 구급활동일지를 이용하여 부산의 구급서비스의 지역적 불균형을 조사하였다. 2017년 구급신고 자료를 집계구 단위로 취합하여 구급서비스의 수요(신고건수, 인구대비 신고건)와 공급(신고건수, 인구대비 신고건수, 현장도착시간의 평균·변동계수·이상치, 관할구역 외 출동건수)의 공간분포를 GIS 공간통계분석 중 핫스팟분석을 이용하여 분석하였다. 분석결과는 구급서비스의 수요와 공급 모두 집중적으로 나타나는 핫스팟지역과 콜드스팟지역이 명확하게 구분되었으며, 이는 부산 내 구급서비스의 수요 뿐 아니라 공급이 지역적으로 불균형함을 의미한다. 특히 원도심과 그 주변지역과 부산시 외곽지역에서의 구급수요 및 공급에서 극명한 차이를 보였다.

Keywords

References

  1. Busan Metropolitan Fire & Safety Headquarters, 2017, 119 Emergency Medical Services(EMS) Activity Reports. Busan.
  2. Choi, J.H., Lee, J.S. and Hong, W.H. 2015. Aanlysis of improvement effects on building approach vulnerability by expanding emergency rescue centersin Busan. Transctions of Korean Istitute of Fire Science and Engineering 29(5):79-87. https://doi.org/10.7731/KIFSE.2015.29.5.079
  3. Hwang, J.H., Lee, J.Y., Park, S.W., Lee, D.W., Lee, B.W. and Na, B.J. 2012. The analysis of underserved mergency medical services areas in Daejeon Metropolitan City using a Geographic Information System. Journal of Arboricultural Medicine and Community Health 37(2):76-83. https://doi.org/10.5393/JAMCH.2012.37.2.076
  4. Jang, K.J., Kang, K.H., Jang, Y.H. and Hahn, K.D. 2016. Analysis fo the time intervals in 119 ambulance services. Fire Society Engineering 30(4):128-134. https://doi.org/10.7731/KIFSE.2016.30.4.128
  5. Kim, J.D. and Shin, S.Y. 2013. A study on the emergency medical service demand and fire service force. Journal of the Korea Academia-Industrial. 14(9):4485-4491.
  6. Lee, D.B. 2017. A study on spatial and social equity of fire service in Seoul. Journal of Korean Society Hazard Mitigation 17(1):145-154. https://doi.org/10.9798/KOSHAM.2017.17.1.145
  7. Lee, J.S. and Jeon, J.B. 2016. Factors affecting the spatial clustering pattern of major office buildings in Seoul: changing impacts between 2003 and 2012. Journal of the Architectural Institute of Korea Planning & Design 32(7):105-113. https://doi.org/10.5659/JAIK_PD.2016.32.7.105
  8. Lee, K.Y., Moon, J.D, and Choi, E.S. 2016. The regional characteristics of 119 ambulance dispatch, the distance and response time to the Scene. Journal of the Korea Contens Association. 16(1):482-492.
  9. Lee, T.G., Ahn, S.S. and Yang, G.G. 2007. Corroboration analysis of resident satisfaction degrees on local public administration services: focused on civil appeal health rescue relief services of Gyeongnam Province. Korean Policy Sciences Review 11(2):107-128.
  10. Oh, C.S., Lee, S.W., Lee, I.M. and Kho, S.Y. 2012. A spatial analysis about arrival delay and dispatch distribution of the 119 Rescue-Aid Service utilizing GIS: Gyeongsangbuk-Do case study. KSCE Journal of CIvil Engineering 32(1):13-22.
  11. Park, E.J. and Lim, M.H. 2020. Analysis of the characteristics of vacant house hotspot areas in Jeonju. Housing Studies Review 28(2):131-150.
  12. Statistics Korea. 2015. Data of Population, Household, House and Industry for Jipgyegu, http://sgis.kostat.go.kr/view/index (2020. 01. 10)
  13. Yu, S.G. and Eom, T.H. 2010. Correlation between En route distance and Role time on call received hours. The Joumal of the Korean Society of Emergency Medical Technology 14(3):5-11.