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区分物理因素和社会心理因素对行人瓶颈影响的尝试。

An attempt to distinguish physical and socio-psychological influences on pedestrian bottleneck.

作者信息

Rzezonka Jonas, Chraibi Mohcine, Seyfried Armin, Hein Ben, Schadschneider Andreas

机构信息

Institute for Advanced Simulation, Forschungszentrum Jülich GmbH, Julich, Germany.

School of Architecture and Civil Engineering, University of Wuppertal, Wuppertal, Germany.

出版信息

R Soc Open Sci. 2022 Jun 1;9(6):211822. doi: 10.1098/rsos.211822. eCollection 2022 Jun.

Abstract

It has been realized that the distinction between social-psychological effects and physical effects in pedestrian crowds is complex, and so the relevance of social psychology for the properties of pedestrian streams is still discussed controversially. Although physics-based models appear to capture many properties rather accurately, it was argued that simple systems of self-driven particles could not explain certain emergent phenomena. In particular, results from a recent empirical study of pedestrian flow at bottlenecks have been interpreted as indicating the relevance of social psychology even in relatively simple scenarios of crowd dynamics. The study showed a surprising dependence of the density near the bottleneck on the width of the corridor leading to it. The density increased with increasing corridor width, although a wider corridor provides more space for pedestrians. It has been argued that this observation is a consequence of social norms, which trigger the effect by a preference for queuing in such situations. However, convincing evidence for this hypothesis is still missing. Here, we reconsider this scenario from a physics perspective using computer simulations of a simple microscopic velocity-based model.

摘要

人们已经认识到,行人人群中社会心理效应和物理效应之间的区别很复杂,因此社会心理学与行人流特性的相关性仍存在争议。尽管基于物理的模型似乎能相当准确地捕捉到许多特性,但有人认为,简单的自驱动粒子系统无法解释某些涌现现象。特别是,最近一项关于瓶颈处行人流的实证研究结果被解释为表明,即使在相对简单的人群动态场景中,社会心理学也具有相关性。该研究表明,瓶颈附近的密度令人惊讶地依赖于通向瓶颈的走廊宽度。尽管更宽的走廊为行人提供了更多空间,但密度却随着走廊宽度的增加而增加。有人认为,这一观察结果是社会规范的结果,社会规范在这种情况下通过排队偏好引发了这种效应。然而,这一假设仍缺乏令人信服的证据。在这里,我们从物理学角度重新审视这一情景,使用一个简单的基于速度的微观模型进行计算机模拟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5da/9156912/e9b016284712/rsos211822f01.jpg

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