大量傷病患事故之緊急救護派遣分析：以2014年高雄丙烯氣爆為例

ANALYSIS OF RESPONSE AND DISPATCH OF EMS IN MASS-CASUALTY INCIDENT-TAKE 2014 KAOHSIUNG GAS EXPLOSION EVENT AS AN EXAMPLE

10.6149/JDM.202109_10(2).0004

徐孝允(Hsiao-Yun Hsu)；石富元(Fu-Yuan Shih)；黃育祥(Yu-Hsiang Huang)；沈子勝(Tzu-Sheng Shen)

大量傷病患 ； 短期分散型MCI ； AnyLogic ； 離散事件模擬 ； 代理人模擬 ； Mass Casualty Incident ； short-term distributed MCI ； Anylogic ； the discrete event simulation ； agent-based simulation

災害防救科技與管理學刊

10卷2期（2021 / 09 / 01）

59 - 78

繁體中文

對比於一般緊急救護勤務（emergency medicine service, EMS），大量傷病患事故（mass casualty incident, MCI）對救災單位、醫療單位絕對是急遽且壓力更大的災害事件。2014年的高雄丙烯氣爆故屬於短期分散型MCI，相較於一般國內外所常見的短期集中型MCI會遇上更多的不確定性。本研究透過高雄丙烯氣爆事故之災例調查，儘可能掌握相關資訊以及參數，最後透過電腦模擬採用AnyLogic 8.7.3版本建置模型進行，並透過其功能項目中的離散事件模擬以及代理人模擬，再透過調整不同參數進行分析，依據模擬結果建議相關單位採取災害應變時之必要作為。除了重視派遣救護車能量比例外，亦須關注後送優先順序分配以及短期分散型MCI路程距離之應對措施。

Mass-casualty Incident (MCI) is absolutely a sudden and more stressful disaster event for the rescue units and medical units than for the general Emergency Medical Service (EMS). The Kaohsiung Gas Explosion Event in 2014 is a short-term distributed MCI. It will encounter more uncertainties for the short-term distributed MCI than the short-term concentrated MCI. Through the investigation of the disaster case of the Kaohsiung Gas Explosion Event, this study tries to grasp the relevant information and parameters as much as possible, and finally, Anylogic 8.7.3 version was adopted to build the model through computer simulation. Using the discrete event simulation and agent-based simulation in its function project, and by adjusting different parameters for analysis, the relevant units are suggested to take necessary measures in response to disasters according to the simulation results. In addition to the energy ratio of dispatching ambulances, attention should also be paid to the priority allocation of evacuation and the response measures of short-term distributed MCI's distance.

1. Aboueljinane, L.,Sahin, E.,Jemai, Z.(2013).A review on simulation models applied to emergency medical service operations.Computers and Industrial Engineering,66,734-750.
2. Armstrong, J. H.,Hammond, J.,Hirshberg, A.,Frykberg, E. R.(2008).Is overtriage associated with increased mortality? The evidence says "yes".Disaster Medicine and Public Health Preparedness,2,4-5.
3. Djanatliev, A.,German, R.(2013).Large scale healthcare modeling by hybrid simulation techniques using AnyLogic.6th International Conference on Simulation Tools and Techniques,Cannes, France:
4. Emrich, Š.,Suslov, S.,Judex, F.(2007).Fully agent based modellings of epidemic spread using Anylogic.6th Eurosim Congress on Modelling and Simulation,Ljubljana, Slovenia:
5. Frykberg, E. R.,Tepas, J. J.(1988).Terrorist bombings: Lessons learned from Belfast to Beirut.Annals of Surgery,208,569-576.
6. Hart, A.,Nammour, E.,Mangolds, V.,Broach, J.(2018).Intuitive versus Algorithmic Triage.Prehospital and Disaster Medicine,33,355-361.
7. Ivanov, D. 2016. Operations and supply chain simulation with AnyLogic 7.2: Decision-oriented introductory notes for master students. Berlin, Germany: Berlin School of Economics and Law. Retrieved March 15, 2021, from https://www.anylogic.com/upload/pdf/operations-and-supply-chain-simulation-with-anylogic72.pdf
8. National Health Service 2009. Mass casualties incidents: A framework for planning NHS Scotland. Retrieved April 8, 2021, from https://www.sehd.scot.nhs.uk/emergencyplanning/Documents/MassCasualtyGuidanceNHSScotlandMay-09.pdf
9. Siebers, P. O.,Aickelin, U.,Celia, H.,Clegg, C.(2007).Understanding retail productivity by simulating management practise.6th Eurosim Congress on Modelling and Simulation,Ljunljana, Slovenia:
10. World Health Organization(2007).Mass casualty management systems: Strategies and guidelines for building health sector capacity.
11. Yang, Y.,Li, J.,Zhao, Q.(2014).Study on passenger flow simulation in urban subway station based on anylogic.Journal of Software,9,140-146.
12. Zarte, M.,Wunder, U.,Pechmann, A.(2017).Concept and first case study for a generic predictive maintenance simulation in AnyLogicTM.Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society,Piscataway, NJ:
13. 沈子勝(2021)。科技部補助專題研究計畫科技部補助專題研究計畫,臺北市:行政院國家科學委員會。
14. 消防署，2020，〈緊急救護服務統計（99 年至 108 年）〉，2020 年 10 月 13 日，摘錄自 https://www.nfa.gov.tw/cht/index.php?code=list&flag=detail&ids=379&article_id=7270
15. 康又升,何承運(2020)。無人機救災通訊應用。電腦與通訊，183，47-49。
16. 游婷伊(2019)。中央警察大學消防科學研究所。
17. 葉家承,徐百輝,張子瑩,張陽郎,蘇文瑞,包正芬(2015)。應用無人飛行載具進行災害現場之調查—以高雄氣爆為例。中國土木水利工程學刊，27，223-229。