Analysis Variations in Shoulder Rotation Behavior with Respect to Macroscopic Crowd Characteristics: Insights from CROWDLIMITS

Student Report (2023)
Author(s)

M. Aldarawsheh (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

Y. Yuan – Mentor (TU Delft - Civil Engineering & Geosciences)

D.C. Duives – Graduation committee member (TU Delft - Civil Engineering & Geosciences)

L. Verhoeff – Mentor (ProRail)

C.N. van der Wal – Graduation committee member (TU Delft - Technology, Policy and Management)

Faculty
Civil Engineering & Geosciences
More Info
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Publication Year
2023
Language
English
Graduation Date
01-10-2023
Awarding Institution
Delft University of Technology
Programme
Civil Engineering, Transport and Planning
Faculty
Civil Engineering & Geosciences
Page Views
189
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Abstract

In crowded pedestrian environments, individuals often resort to rotating their bodies as a strategy to avoid collisions. Surprisingly, this rotational behavior, despite its significant implications for crowd capacity, has received relatively little attention in research. This study seeks to fill this gap by diving into the complicated world of pedestrian rotation behavior, particularly in the context of high-density bidirectional and crossing flows.
Drawing upon data gathered from the CrowdLimits experiments, we start the exploration of how various factors impact the rotation behavior of pedestrians. Our investigation covers crowd density, the fundamental movement scenarios (bidirectional and crossing flows), flow ratio, and the influence of disturbances within the crowd under different scenarios.
Our key findings reveal that all these factors play a role in shaping the frequency of rotations within a crowd. However, the extent and precise conditions under which these factors influence this subject demand further in-depth research and exploration.
In essence, this study addresses the fundamental question: How does shoulder rotation behavior vary concerning macroscopic crowd characteristics, including crowd density, flow ratio, and movement patterns like bidirectional and crossing flows? Through this research, we hope to highlight the complex interplay between these factors and the rotational strategies operated by pedestrians, ultimately enhancing our understanding of crowd dynamics.

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