Modeling of the city evacuation plan in case of earthquake with particle swarm optimization (PSO) and imperialist competition algorithm (ICA)

Author:

Asadi Morteza,Karami Jalal

Abstract

Purpose The aim of this study was to determine the number of shelters, specify some optimal paths among building blocks towards shelters, and assign population to shelters. Design/methodology/approach Imperialist competition algorithm (ICA) and particle swarm optimization (PSO) were used to optimize the objectives of this study. Findings The optimal value for PSO objective function was with the number of function evaluations (NFE) of 5300 and the optimal value of ICA objective function was with NFE of 1062. Repetition test for both algorithms showed that imperialist competition algorithm enjoys better stability and constancy and higher speed of convergence compared to particle swarm algorithm. This has been also shown in larger environments. 92% of the existing populations have access to shelters at a distance of less than600 meters. This means that evacuation from the building blocks to shelters takes less than 8 minutes. The average distance from a block (for example, a residential complex) to an optimal shelter is approximately273meters. The greatest risk of route and shelter has been 239 and 121, respectively. Research limitations/implications To address these goals, four following objective functions were considered: a) minimization of the distance for getting all the people to shelters b) the lowest total risk of the discharge path c) minimization of the total time required to transfer people to shelters or hospitals if necessary, and d) the lowest total risk in shelters. Social implications Over the recent decades, the frequency of so-called ‘natural’ disasters has increased significantly worldwide and resulted in escalating human and economic losses. Among them, the earthquake is one of the major concerns of the various stakeholders related to urban planning. Originality/value In addition, the maximum time of discharge from the helter to the hospital has been 17 minutes, which means the presence of good access to selected shelters.

Publisher

Emerald

Subject

Safety, Risk, Reliability and Quality,Building and Construction

Reference30 articles.

1. Ahmadian, S. (2008), “Temporary settlement planning using multi-objective optimization algorithms in GIS”, Geographic Information Systems M.A. Thesis, Khaje Nasir Toosi University, Tehran.

2. A multiobjective approach to locate emergency shelters and identify evacuation routes in urban areas;The Geographical Analysis,2008

3. A review of interactive methods for multi objective integer and mixed-integer programming;European Journal of Operational Research,2007

4. Atashpaz, G.E. (2008), “Social optimization algorithm development and evaluation of its performance”, master thesis, Electrical Control Engineering, Tehran University, Tehran, Iran,

5. A method for evacuation route planning in disaster situations;Procedia – Social and Behavioral Sciences,2012

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3