A Multistory Building Evacuation Model Based on Multiple-Factor Analysis

Emergency evacuation is an important issue in public security. To make a considerate plan, various situations are presented including blocking the accident area and letting the emergency access path available. In order to offer dynamic evacuation routes due to different circumstances, a multistory b...

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Main Authors: Yang Zhou, Tanghong Wu, Gaofan Zhang, Zichuan Fan
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2019/6585102
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spelling doaj-89a67adcb983494192d02f02cc3340432020-11-24T21:43:47ZengHindawi LimitedAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/65851026585102A Multistory Building Evacuation Model Based on Multiple-Factor AnalysisYang Zhou0Tanghong Wu1Gaofan Zhang2Zichuan Fan3School of Computer and Information Science, Southwest University, 400715 Chongqing, ChinaSchool of Computer and Information Science, Southwest University, 400715 Chongqing, ChinaSchool of Computer and Information Science, Southwest University, 400715 Chongqing, ChinaSchool of Computer and Information Science, Southwest University, 400715 Chongqing, ChinaEmergency evacuation is an important issue in public security. To make a considerate plan, various situations are presented including blocking the accident area and letting the emergency access path available. In order to offer dynamic evacuation routes due to different circumstances, a multistory building evacuation model is proposed. Firstly, to analyse the patency of the building, an evacuation formula is applied after binary processing. The function of evacuation time and some other parameters is given by means of regression analysis. Secondly, the cellular automata (CA) algorithm was applied to illustrate the effect of the bottleneck. The response of evacuation time could be approximately optimized through calculating time step of the CA simulation. Finally, the value of maximum evacuation population density could be determined according to the analysis of CA simulation results, which was related to the switch state of the emergency channel. The emergency evacuation model was simulated by using the Louvre museum as an example. The results of the simulation presented some feasible evacuation routes in all kinds of situations. Furthermore, the functional relationship would also be given among evacuation time with the diversity of tourists, pedestrian density, and width of exits. It can give a different perspective that the multistory building evacuation model shows excellent adaptability to different circumstances.http://dx.doi.org/10.1155/2019/6585102
collection DOAJ
language English
format Article
sources DOAJ
author Yang Zhou
Tanghong Wu
Gaofan Zhang
Zichuan Fan
spellingShingle Yang Zhou
Tanghong Wu
Gaofan Zhang
Zichuan Fan
A Multistory Building Evacuation Model Based on Multiple-Factor Analysis
Advances in Civil Engineering
author_facet Yang Zhou
Tanghong Wu
Gaofan Zhang
Zichuan Fan
author_sort Yang Zhou
title A Multistory Building Evacuation Model Based on Multiple-Factor Analysis
title_short A Multistory Building Evacuation Model Based on Multiple-Factor Analysis
title_full A Multistory Building Evacuation Model Based on Multiple-Factor Analysis
title_fullStr A Multistory Building Evacuation Model Based on Multiple-Factor Analysis
title_full_unstemmed A Multistory Building Evacuation Model Based on Multiple-Factor Analysis
title_sort multistory building evacuation model based on multiple-factor analysis
publisher Hindawi Limited
series Advances in Civil Engineering
issn 1687-8086
1687-8094
publishDate 2019-01-01
description Emergency evacuation is an important issue in public security. To make a considerate plan, various situations are presented including blocking the accident area and letting the emergency access path available. In order to offer dynamic evacuation routes due to different circumstances, a multistory building evacuation model is proposed. Firstly, to analyse the patency of the building, an evacuation formula is applied after binary processing. The function of evacuation time and some other parameters is given by means of regression analysis. Secondly, the cellular automata (CA) algorithm was applied to illustrate the effect of the bottleneck. The response of evacuation time could be approximately optimized through calculating time step of the CA simulation. Finally, the value of maximum evacuation population density could be determined according to the analysis of CA simulation results, which was related to the switch state of the emergency channel. The emergency evacuation model was simulated by using the Louvre museum as an example. The results of the simulation presented some feasible evacuation routes in all kinds of situations. Furthermore, the functional relationship would also be given among evacuation time with the diversity of tourists, pedestrian density, and width of exits. It can give a different perspective that the multistory building evacuation model shows excellent adaptability to different circumstances.
url http://dx.doi.org/10.1155/2019/6585102
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