工程物理

基于多智能体的突发事件下城市应急管理机制仿真

  • 孙潇潇 ,
  • 黄弘 ,
  • 李瑞奇
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  • 清华大学 工程物理系, 公共安全研究院, 北京 100084

收稿日期: 2020-03-12

  网络出版日期: 2020-11-26

Multi-agent simulations of urban emergency management mechanisms

  • Xiaoxiao SUN ,
  • Hong HUANG ,
  • Ruiqi LI
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  • Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China

Received date: 2020-03-12

  Online published: 2020-11-26

摘要

随着城市化进程的加快,高密度的城市人口和庞大的城市体量使得城市安全的重要性日益凸显。随着国家机构改革与应急管理部的成立,针对突发事件下新型城市应急管理体系的研究具有重要意义。该文从美国、英国与日本的城市应急管理体系入手,通过对这些国家的应急管理体系的分析,总结出3类城市应急管理机制模型,并建立了相应的突发事件模型。使用多智能体仿真对这3类应急管理机制的运行模式进行了模拟仿真,并基于模拟结果,对这3类城市应急管理机制的运行效率进行了定量评估,结果表明:“整合型”机制的优点在于更合理的任务分配与职能分工,“协调型”机制的优点在于更加流畅有序的沟通和决策。

本文引用格式

孙潇潇 , 黄弘 , 李瑞奇 . 基于多智能体的突发事件下城市应急管理机制仿真[J]. 清华大学学报(自然科学版), 2021 , 61(1) : 70 -76 . DOI: 10.16511/j.cnki.qhdxxb.2020.26.022

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.

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