亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Evacuation behaviour of crowds under high and low levels of urgency: Experiments of reaction time, exit choice and exit-choice adaptation

计算机科学 任务(项目管理) 感知 社会心理学 社会力量模型
作者
Milad Haghani,Majid Sarvi,Zahra Shahhoseini
出处
期刊:Safety Science [Elsevier BV]
卷期号:126: 104679- 被引量:15
标识
DOI:10.1016/j.ssci.2020.104679
摘要

Abstract How does evacuation behaviour of crowds vary based on the level of perceived urgency? This question was investigated using two simulated experiments of crowd evacuations, collectively exploring three important aspects of evacuees’ decision-making: reaction time, exit choice and exit-choice adaptation. The analysis of reaction time observations identified a range of factors that determine the delay between the evacuation onset and decisive movement of occupants towards exits. Occupant reactions were on average slower when they were under the low-urgency treatment, when exit capacities were more restrictive and when the individual was located relatively far from the exit locations. Exit-choice observations showed that people’s behaviour fitted a multi-attribute trade-off that reflected the joint role of peer influence, choosing nearest exits and choosing visible exits. The shape of this trade-off remained, to large degrees, similar regardless of the urgency level. Observations of exit-choice adaptation showed that evacuees were two times more likely to change their exit choices when the simulated urgency level was higher. Further analysis revealed the joint effect of the queue-size imbalance at exits, exit visibility and peer influence on decision adaptation. The modelling outputs strikingly showed that evacuees exhibited notable follow-the-neighbour tendencies in their decision changing, whereas, they displayed the opposite tendency when making exit choices. The macro-scale analyses showed that the higher-urgency treatment triggered a more instant and faster rush to exits. This resulted in the formation of denser crowds at bottlenecks, but never prolonged the evacuation time. Evacuation times remained invariably shorter in high-urgency scenarios.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
芊芊墨客发布了新的文献求助10
1秒前
荼蘼发布了新的文献求助10
2秒前
9秒前
芊芊墨客完成签到,获得积分10
10秒前
情怀应助Hedy采纳,获得10
11秒前
23秒前
Jasper应助聪聪采纳,获得10
27秒前
zz发布了新的文献求助10
28秒前
zachary009完成签到 ,获得积分10
31秒前
34秒前
彭于晏应助大口吃榴莲采纳,获得10
39秒前
楚狂接舆完成签到,获得积分10
39秒前
47秒前
52秒前
科研通AI6.1应助zz采纳,获得10
53秒前
54秒前
wuyun9653发布了新的文献求助10
55秒前
57秒前
58秒前
59秒前
1分钟前
聪聪发布了新的文献求助10
1分钟前
1分钟前
高挑的涛发布了新的文献求助10
1分钟前
桐桐应助dqbhxwx采纳,获得10
1分钟前
Akim应助元力采纳,获得10
1分钟前
Hedy关注了科研通微信公众号
1分钟前
1分钟前
科研通AI6.2应助碘塞罗宁采纳,获得10
1分钟前
awang完成签到,获得积分10
1分钟前
1分钟前
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
思源应助科研通管家采纳,获得10
1分钟前
1分钟前
大胆的碧菡完成签到,获得积分10
1分钟前
dqbhxwx发布了新的文献求助10
1分钟前
Hedy发布了新的文献求助10
1分钟前
charih完成签到 ,获得积分10
2分钟前
打打应助dqbhxwx采纳,获得10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362063
求助须知:如何正确求助?哪些是违规求助? 8175716
关于积分的说明 17223995
捐赠科研通 5416769
什么是DOI,文献DOI怎么找? 2866561
邀请新用户注册赠送积分活动 1843771
关于科研通互助平台的介绍 1691516