Movement behaviour of pedestrians in knife-based terrorist attacks: An experimental approach

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
Alastair Shipman , Arnab Majumdar , Niki Boyce , Ruggiero Lovreglio
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引用次数: 0

Abstract

Terrorist attacks have become both more frequent and deadlier in recent decades. Knife attacks by terrorists in particular are both high impact and relatively frequent. Understanding how individuals move when confronted by an attacker can save lives by informing the planning of transportation hubs, entertainment venues and other spaces where large numbers of people congregate. Using pedestrian dynamics to predict responses to such attacks has the potential to further improve the survival of those involved by providing insights to emergency service responders when a terrorist situation has occurred in a crowded venue. However, given the lack of appropriate data, it is currently impossible to accurately predict pedestrian movement responses to terrorist attacks. This paper describes a practical study that developed a methodology and implemented a set of experiments examining responses to knife-based attacks by an unexpected and hostile individual. The experiments used financial incentives and an ‘aggressor’ to recreate a knife-based terrorist attack in an ethically viable setting. The participants of this study (n = 80) were tracked using ultra wide-band sensors to provide temporal and spatial positional data in relation to the attacker and to each other. Participants subsequently completed a questionnaire to report their psychological response during the experiment, thus allowing psychological perception and movement responses to be compared.

The results show that participants were stressed and reported fear during the experiment, indicating that the experimental approach is a potentially valid proxy for a real-life attack. The analysis highlights that participants’ decisions to stay or run away were strongly influenced by the actions of other nearby participants, while participants’ continuous movement response (movement speed) was highly dependent on relative position to the aggressor. Participant demographics were a factor with female participants less likely to move and slower moving, while older participants were also slower moving. From these results we have been able to construct a model of how pedestrians may react when faced with a sudden attack. We discuss our findings and their potential to contribute to emergency planning and response, finally we comment on opportunities for further study.

行人在持刀恐怖袭击中的移动行为:实验方法
近几十年来,恐怖袭击变得更加频繁和致命。尤其是恐怖分子的持刀袭击,不仅影响大,而且相对频繁。了解个人在面对袭击者时的行动方式,可以为交通枢纽、娱乐场所和其他大量人群聚集的场所的规划提供参考,从而挽救生命。利用行人动力学来预测对此类袭击的反应,有可能进一步改善相关人员的生存状况,在拥挤场所发生恐怖袭击时为应急服务人员提供洞察力。然而,由于缺乏适当的数据,目前还无法准确预测行人对恐怖袭击的反应。本文介绍了一项实际研究,该研究制定了一套方法,并实施了一系列实验,以检查行人对突如其来的敌对分子持刀袭击的反应。实验采用经济激励和 "攻击者 "的方式,在道德可行的环境中再现了一次持刀恐怖袭击。本研究的参与者(n = 80)使用超宽带传感器进行跟踪,以提供与攻击者和参与者之间的时间和空间位置数据。结果表明,参与者在实验过程中感到紧张并报告恐惧,这表明实验方法有可能有效地替代现实生活中的攻击。分析结果表明,参与者决定留下还是逃跑受到附近其他参与者行动的强烈影响,而参与者的连续运动反应(运动速度)则在很大程度上取决于与攻击者的相对位置。参与者的人口统计学特征也是一个因素,女性参与者较少移动且移动速度较慢,而年龄较大的参与者移动速度也较慢。根据这些结果,我们构建了一个行人在面对突然袭击时可能做出反应的模型。我们将讨论我们的研究结果及其对应急规划和响应的潜在贡献,最后我们将就进一步研究的机会发表评论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
15.80
自引率
12.00%
发文量
332
审稿时长
64 days
期刊介绍: Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.
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