人群中的推挤和非推挤运动:行人动力学中评价个体行为的系统心理观察方法

Ezel Üsten, Helena Lügering, A. Sieben
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引用次数: 8

摘要

推搡行为会损害人们在人群中的幸福感,并代表着重大的安全风险。然而,关于谁在拥挤的情况下表现如何,以及何时、何地以及为什么会发生推搡行为,仍然有很多问题没有得到回答。从假设人群不是完全同质的,行为可以随着时间的推移而变化开始,我们开发了一种观察和评价向前运动的方法。基于定量内容分析的指导原则,我们得出了四类:(1)落后,(2)只是走路,(3)轻度推搡,和(4)强烈推搡。这些类别允许对视频中任何人在任何时间的行为进行分类,因此该方法允许对个人的行为与时间人群动态进行全面的系统化。该方法的应用涉及移动人群的视频,包括轨迹。初步结果表明,两个经过训练的评分者之间的编码器间可靠性非常好,这表明该系统系统系统地描述人群中的前向运动并对其进行量化以供进一步分析的普遍适用性。通过这种方式,可以更好地理解推动行为,并从前瞻性角度更好地识别风险。这篇文章全面介绍了这种观察方法。
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Pushing and Non-pushing Forward Motion in Crowds: A Systematic Psychological Observation Method for Rating Individual Behavior in Pedestrian Dynamics
Pushing behavior impairs people’s sense of well-being in a crowd and represents a significant safety risk. There are nevertheless still a lot of unanswered questions about who behaves how in a crowded situation, and when, where, and why pushing behavior occurs. Beginning from the supposition that a crowd is not thoroughly homogenous and that behavior can change over time, we developed a method to observe and rate forward motion. Based on the guidelines of quantitative content analysis, we came up with four categories: (1) falling behind, (2) just walking, (3) mild pushing, and (4) strong pushing. These categories allow for the classification of the behavior of any person at any time in a video, and thereby the method allows for a comprehensive systematization of individuals’ actions alongside temporal crowd dynamics. The application of this method involves videos of moving crowds including trajectories. The initial results show a very good inter-coder reliability between two trained raters demonstrating the general suitability of the system to describe forward motion in crowds systematically and quantify it for further analysis. In this way, pushing behavior can be better understood and, prospectively, risks better identified. This article offers a comprehensive presentation of this method of observation.
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审稿时长
23 weeks
期刊最新文献
Improving Pedestrian Dynamics Predictions Using Neighboring Factors Evaluation of Data Fitting Approaches for Speed/Flow Density Relationships Numerical and Theoretical Analysis of a New One-Dimensional Cellular Automaton Model for Bidirectional Flows Are Depth Field Cameras Preserving Anonymity? Pilot Study of Mental Simulation of People Movement During Evacuations
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