社会关系的强度如何影响行人的疏散行为?虚拟地铁站中多人参与的火灾疏散实验

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
Xiaolu Xia , Jieyu Chen , Jin Zhang , Nan Li
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引用次数: 0

摘要

在火灾疏散过程中,社会群体的行人通常会保持接近,以相似的速度向共同的目的地前进。然而,由于缺乏对社会关系的量化,以及随后对其在疏散过程中对行人动态影响的评估不足,社会群体对行人疏散行为的影响尚未得到充分探索。为了解决这些问题,我们在虚拟地铁站中进行了基于沉浸式虚拟现实(VR)的多人疏散实验。以信任度为衡量标准的不同关系强度的社会群体被要求从模拟的地铁站火灾紧急场景中撤离。结果表明,社会关系较强的分组行人对紧急情况的应激反应较低,在疏散过程中往往彼此靠得更近。此外,较强的社会关系还能使分组行人之间的疏散决策更加协调。在疏散表现方面,较强的社会关系会延缓行人的初始反应,但会缩短他们的整体疏散时间。通过定量测量社会关系的强度并全面揭示其对以社会群体形式疏散的行人的影响,本研究有望加深对行人疏散过程中社会群体动态的理解,并为交通设施等室内环境的应急管理提供重要启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How the strength of social relationship affects pedestrian evacuation behavior: A multi-participant fire evacuation experiment in a virtual metro station

In fire evacuation, social groups of pedestrians often maintain proximity, proceeding at a similar pace towards a common destination. However, the effect of social groups on pedestrian evacuation behavior is underexplored due to the lack of quantification of the social relationships and the subsequent inadequate assessment of their influence on pedestrian dynamics during evacuation. To address these issues, an immersive virtual reality (VR)-based multi-participant evacuation experiment was conducted in a virtual metro station. Social groups of different relationship strengths measured by trust were asked to evacuate from a simulated metro station fire emergency scene. Results showed that grouped pedestrians with stronger social relationships had lower stress response to emergency situations, and tended to stay closer to each other during evacuation. In addition, stronger social relationships also led to more coordinated evacuation decisions between grouped pedestrians. In terms of evacuation performance, stronger social relationship sightly delayed pedestrians’ initial response but reduced their overall evacuation time. By quantitatively measuring the strength of social relationships and comprehensively revealing its influence on pedestrians who evacuate in social groups, this study is expected to enhance the understanding of social group dynamics in pedestrian evacuation, and offer significant insights for emergency management in indoor environments, such as transportation facilities, where high footfall and complex crowd patterns demand efficient evacuations to avert massive injuries.

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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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