Multi-agent simulations of urban emergency management mechanisms

doi:10.16511/j.cnki.qhdxxb.2020.26.022

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Abstract

Increased urbanization, high-density urban populations and large urban areas have increased the importance of urban security planning. The People's Republic of China has established the Ministry of Emergency Management to study urban emergency management systems. This study reviewed urban emergency management systems in the United States, the United Kingdom, and Japan to identify three types of urban emergency management mechanism models and the corresponding emergency management models. Multi-agent simulations were then used to simulate these three emergency management mechanisms and evaluate their efficiencies. The results show that the "integrated" mechanism gives more reasonable task assignments and function divisions while the "communication" mechanism is more fluid and provides more orderly communications and decision-making.

Keywords urban emergency management multi-agent simulations management mechanisms emergency

Corresponding Authors: Hong HUANG E-mail: hhong@tsinghua.edu.cn

Issue Date: 26 November 2020

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	Xiaoxiao SUN
	Hong HUANG
	Ruiqi LI

Cite this article:

Xiaoxiao SUN,Hong HUANG,Ruiqi LI. Multi-agent simulations of urban emergency management mechanisms[J]. Journal of Tsinghua University(Science and Technology), 2021, 61(1): 70-76.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2020.26.022 OR http://jst.tsinghuajournals.com/EN/Y2021/V61/I1/70

3种模型描述
10.16511/j.cnki.qhdxxb.2020.26.022.T001表 1

模型	模型描述	模型图示	模型依据
基本模型	通常情况下的部门关系		通常情形下的部门关系
“整合型”模型	将决策和执行分离，将决策集中到一个部门中		参考美国、日本的应急管理体系
“协调型”模型	各个部门保留了各自运行模式，通过与协调部门的沟通协调，来实现合作		参考英国基于论坛的应急管理体系

10.16511/j.cnki.qhdxxb.2020.26.022.T002

表 2

8	张翔.中国政府部门间协调机制研究[D].天津:南开大学, 2013.
8	ZHANG X. Research on inter-agency coordination mechanism of Chinese government[D]. Tianjin: Nankai University, 2013. (in Chinese)
10	唐明圣.基于Agent的人工社会应急管理政策分析方法[D].长沙:国防科学技术大学, 2015.
10	TANG M S. Agent-based analysis method of artificial social emergency management policy[D]. Changsha: National University of Defense Technology, 2015. (in Chinese)
12	易文明.基于多智能体的企业协作行为建模与仿真[D].武汉:华中科技大学, 2011.
12	YI W M. Modeling and simulation of enterprise collaborative behavior based on multi-agent[D]. Wuhan: Huazhong University of Science and Technology, 2011. (in Chinese)
13	FABIO B , GIOVANNI C , DOMINIC G . Developing multi-agent systems with Jade[M]. Hoboken: John Wiley & Sons, Ltd., 2004.
15	LI Y L, AN J. The construction of administrative ethics during the process of super-ministry system reform[C]//Proceedings of 2009 International Conference on Public Administration. Washington DC, USA: IEEE, 2009: 664-669.
16	SI L B, JI J B, FU J L. A comparative analysis of super-ministry mechanism reform and small-government model[C]//Proceedings of 2010 International Conference on Public Administration. Washington DC, USA: IEEE, 2010: 889-894.

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