多出口疏散情景下社会群体疏散动态的实证研究

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Yanghui Hu , Jie Chen , Yunhe Tong
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引用次数: 0

摘要

作为一种常见的疏散形式,社会群体在塑造人群动态方面发挥着至关重要的作用。然而,复杂情境下社会群体的退出选择行为尚未得到充分研究。在这项研究中,我们进行了一系列的实验,考虑了不同的安排和可用的出口数量,以及不同的社会群体规模。我们的发现揭示了不同层次的社会群体动态。在战术层面,参与者表现出不同的偏好模式,这取决于他们群体的规模和可用出口的数量,而出口属性的影响在操作层面上是不同的,社会群体群体表现出不同的运动阶段:初始加速,高密度导致的出口附近减速,以及出口后的再加速。出口位置影响高密度分布,较长的墙壁承载出口导致更长的队列。此外,我们的分析还揭示了多个出口场景的密度分布明显不对称,这表明与出口的接近程度显著影响了个体的出口选择。我们的工作扩展了紧急情况下社会群体疏散动态的数据集,加深了对社会群体动态如何塑造人群行为的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An empirical investigation on social group evacuation dynamics in multi-exit evacuation scenarios
As a common form of evacuation, social groups play an essential role in shaping crowd dynamics. However, the exit choice behaviour of social groups in complex scenarios has not been fully investigated yet. In this study, we conducted a series of experiments considering various arrangements and numbers of available exits, as well as different social group sizes. Our findings reveal social group dynamics on various levels. At the tactical level, participants exhibit diverse preference patterns depending on both the size of their group and the number of available exits, and the impacts of exit properties vary with contexts at the operational level, crowds with social groups display distinct movement phases: initial acceleration, deceleration near exits due to high density, and post-exit re-acceleration. Exit placement influences high-density distributions, with longer walls hosting exits leading to more elongated queues. Furthermore, our analysis revealed pronounced asymmetries in the density distributions across multiple exit scenarios, indicating that proximity to the exits significantly influenced individuals' exit choices. Our work expands the dataset on social group evacuation dynamics in emergencies and deepens the understanding of how social group dynamics shape crowd behaviour.
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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