Fear in Humans: A Glimpse into the Crowd-Modeling Perspective

Author:

Shipman Alastair1,Majumdar Arnab2

Affiliation:

1. Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, London, UK

2. Lloyds Register Foundation Transport Risk Management Centre, Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, London, UK

Abstract

There have been a number of high-profile incidents in recent years in which appropriate evacuation has been necessary due to the extreme nature of the incident (e.g., terrorist attacks). Evacuation under extreme situations causes specific behavioral responses and understanding these can significantly affect the efficacy of an evacuation, potentially saving lives. This paper offers a view of the current understanding of this area of research by performing a literature review into the required areas (sociological, psychological and computer modeling). It finds that although there has been significant progress in sociological models of human behavior, there is a lack of appropriate software models for extreme emergencies that can accurately model states of fear. This point is independently established in interviews with key stakeholders in the area of human behavior and emergencies. The interviewees identify that a better model is required and provide their desired areas of progress, specifically that more data is required to develop new theories and calibrate software models.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 26 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