{"title":"Studying the Impact of Public Transport on Disaster Evacuation","authors":"Nguyen K. Tri, S. J. Wright, John M. Betts, H. Vu","doi":"10.1109/ITSC45102.2020.9294393","DOIUrl":null,"url":null,"abstract":"Disasters of different types are an increasing threat to modern societies. The speed at which people can evacuate a disaster may mean the difference between life or death. One way of modelling disaster evacuation is by using multi-agent simulation, in which each person in a population is simulated as an autonomous individual. This enables emergency management groups to analyse the results across a range of scenarios, under varying parameter settings, to better under-stand how to reduce evacuation times. Previous studies have used this approach to model disaster evacuations, but only considered evacuation on foot. This research studies the effect of public transport on the evacuation process using the Multi-Agent Transport Simulation (MATSim) platform. Experimental results show large reductions in the average evacuation time of agents can be achieved using public transport, compared with pedestrian traffic only. A sensitivity analysis illustrates the conditions under which additional buses can be added to further reduce evacuation time and the limit of this improvement.","PeriodicalId":394538,"journal":{"name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","volume":"57 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC45102.2020.9294393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Disasters of different types are an increasing threat to modern societies. The speed at which people can evacuate a disaster may mean the difference between life or death. One way of modelling disaster evacuation is by using multi-agent simulation, in which each person in a population is simulated as an autonomous individual. This enables emergency management groups to analyse the results across a range of scenarios, under varying parameter settings, to better under-stand how to reduce evacuation times. Previous studies have used this approach to model disaster evacuations, but only considered evacuation on foot. This research studies the effect of public transport on the evacuation process using the Multi-Agent Transport Simulation (MATSim) platform. Experimental results show large reductions in the average evacuation time of agents can be achieved using public transport, compared with pedestrian traffic only. A sensitivity analysis illustrates the conditions under which additional buses can be added to further reduce evacuation time and the limit of this improvement.
不同类型的灾害对现代社会的威胁越来越大。人们在灾难中撤离的速度可能意味着生与死的区别。一种模拟灾难疏散的方法是使用多智能体模拟,其中人口中的每个人都被模拟为一个自主的个体。这使应急管理小组能够在不同参数设置下分析一系列情景的结果,以便更好地了解如何缩短疏散时间。以前的研究使用这种方法来模拟灾难疏散,但只考虑了步行疏散。本研究利用Multi-Agent transport Simulation (MATSim)平台研究公共交通对疏散过程的影响。实验结果表明,与仅使用步行交通相比,使用公共交通可以大大减少agent的平均疏散时间。敏感性分析表明,在何种条件下可以增加额外的公共汽车,以进一步减少疏散时间和这种改进的限制。