Experimental study on pushing propagation in a dynamic Pedestrian Queue

IF 3.3 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Yushan Song , Haiyang Huang , Liangchang Shen , Jiayue Wang , Wenguo Weng
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引用次数: 0

Abstract

“Crowd shockwave” is a hallmark of high-density crowd disasters, yet its triggering and propagation mechanism in dense crowd dynamics remains insufficiently understood. This study extended small-scale pushing experiments from static to dynamic pedestrian queues to investigate whether and how movement parameters modulate forward propagation. In a controlled five-person queue, synchronized kinematic–mechanical data were collected using optical mocap system and flexible pressure-mapping clothing. At an interpersonal distance of 20 cm, a critical peak-force threshold of about 100 N is identified for forward propagation, with no material differences across movement states. Propagation speed is found as a function of the initial impulse, but both intercept and slope depend on movement. A unified propagation-speed equation is proposed and validated with forward-walking data. The findings deepen the understanding of crowd shockwaves, provide empirically grounded parameters for the optimization and validation of crowd models, and provides support for risk assessment and safety management in high-density crowds.
动态行人队列中推送传播的实验研究
“人群冲击波”是高密度人群灾害的标志,但其在密集人群动力学中的触发和传播机制尚不清楚。本研究将小规模推挤实验从静态扩展到动态行人队列,以探讨运动参数是否以及如何调节前向传播。在一个控制的五人队列中,使用光学运动捕捉系统和柔性压力测绘服收集同步的运动学-力学数据。在人际距离为20 cm时,确定了向前传播的临界峰值力阈值约为100 N,在不同的运动状态下没有物质差异。发现传播速度是初始脉冲的函数,但截距和斜率都取决于运动。提出了一种统一的传播速度方程,并用前向行走数据进行了验证。研究结果加深了对人群冲击波的认识,为人群模型的优化和验证提供了有经验依据的参数,为高密度人群的风险评估和安全管理提供了支持。
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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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