Study on single-group dynamics in evacuation considering pre-defined and undeclared leadership

IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 安全科学与韧性(英文) Pub Date : 2023-03-01 DOI:10.1016/j.jnlssr.2022.09.007
Wei Xie , Dongli Gao , Ruifeng Cao , Eric Wai Ming Lee , Richard Kwok Kit Yuen , Jingwen Weng
{"title":"Study on single-group dynamics in evacuation considering pre-defined and undeclared leadership","authors":"Wei Xie ,&nbsp;Dongli Gao ,&nbsp;Ruifeng Cao ,&nbsp;Eric Wai Ming Lee ,&nbsp;Richard Kwok Kit Yuen ,&nbsp;Jingwen Weng","doi":"10.1016/j.jnlssr.2022.09.007","DOIUrl":null,"url":null,"abstract":"<div><p>Grouping is a common phenomenon that occurs everywhere. The leader-follower relationship inside groups has often been qualitatively characterized in previous models using simple heuristics. However, a general method is lacking to quantitatively explain leadership in an evacuating group. To understand the evolution of single-group dynamics throughout an evacuation, we developed an extended social force model integrated with a group force. A series of single-group evacuations from a room were simulated. An information-theoretic method, transfer entropy (TE), was applied to detect predefined and undeclared leadership among evacuees. The results showed that the predefined leader was correctly detected by TE, suggesting its capability in measuring leadership based on time series of evacuees’ movement information (e.g., velocity and acceleration). When evacuees were grouped together, TE was higher than when they were alone. Leaders presented a monotonically increasing cumulative influence curve over the investigated period, whereas followers showed a diminishing tendency. We found that leadership emergence correlated with evacuees’ spatial positions. The individual located in the foremost part of the group was most likely to become a leader of those in the rear, which concurred with the experimental observations. We observed how a large group split into smaller ones with undeclared leadership during evacuation. These observations were quantitatively verified by TE results. This study provides novel insights into quantifying leadership and understanding single-group dynamics during evacuations.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"4 1","pages":"Pages 52-60"},"PeriodicalIF":3.7000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"安全科学与韧性(英文)","FirstCategoryId":"1087","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666449622000548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

Grouping is a common phenomenon that occurs everywhere. The leader-follower relationship inside groups has often been qualitatively characterized in previous models using simple heuristics. However, a general method is lacking to quantitatively explain leadership in an evacuating group. To understand the evolution of single-group dynamics throughout an evacuation, we developed an extended social force model integrated with a group force. A series of single-group evacuations from a room were simulated. An information-theoretic method, transfer entropy (TE), was applied to detect predefined and undeclared leadership among evacuees. The results showed that the predefined leader was correctly detected by TE, suggesting its capability in measuring leadership based on time series of evacuees’ movement information (e.g., velocity and acceleration). When evacuees were grouped together, TE was higher than when they were alone. Leaders presented a monotonically increasing cumulative influence curve over the investigated period, whereas followers showed a diminishing tendency. We found that leadership emergence correlated with evacuees’ spatial positions. The individual located in the foremost part of the group was most likely to become a leader of those in the rear, which concurred with the experimental observations. We observed how a large group split into smaller ones with undeclared leadership during evacuation. These observations were quantitatively verified by TE results. This study provides novel insights into quantifying leadership and understanding single-group dynamics during evacuations.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
考虑预定义和未声明领导的疏散中的单组动力学研究
分组是一种随处可见的普遍现象。在以前的模型中,团队内部的领导-追随者关系通常使用简单的启发式进行定性表征。然而,缺乏一种通用的方法来定量地解释疏散小组的领导。为了理解整个疏散过程中单群体动态的演变,我们开发了一个扩展的社会力量模型,该模型与群体力量相结合。模拟了一系列单组撤离房间的情况。一种信息理论方法,传递熵(TE),被应用于检测预先确定的和未声明的疏散中的领导。结果表明,TE能够正确地检测到预定义的leader,说明其具有基于疏散人员运动信息(如速度和加速度)的时间序列来测量leader的能力。当疏散人员聚集在一起时,TE高于单独疏散时。在调查期间,领导者的累积影响力呈现单调增加的趋势,而追随者则呈现递减的趋势。我们发现,领导力涌现与疏散人员的空间位置相关。在群体中最前面的个体最有可能成为后面的个体的领导者,这与实验观察结果一致。我们观察到,在疏散过程中,一大群人是如何分裂成小群人的,这些小群人的领导身份都没有公布。这些观察结果得到了TE结果的定量验证。这项研究为量化领导力和理解疏散过程中的单群体动态提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
安全科学与韧性(英文)
安全科学与韧性(英文) Management Science and Operations Research, Safety, Risk, Reliability and Quality, Safety Research
CiteScore
8.70
自引率
0.00%
发文量
0
审稿时长
72 days
期刊最新文献
Grasping emergency dynamics: A review of group evacuation techniques and strategies in major emergencies Multi-factor coupled forest fire model based on cellular automata Scenario construction and vulnerability assessment of natural hazards-triggered power grid accidents Risk assessment of fire casualty in underground commercial building based on FFTA-BN model Determination of individual disaster resilience levels of hospital staff: A case study of Kartal Dr. Lütfi Kirdar City Hospital
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1