Empirical study on pedestrian rotation mechanisms through bottlenecks

Area of Science:

• Biomechanics
• Human-Computer Interaction
• Crowd Dynamics

Background:

• Understanding pedestrian flow through bottlenecks is crucial for urban planning and safety.
• Existing models often simplify the complex rotational behaviors of individuals in confined spaces.

Purpose of the Study:

• To empirically investigate pedestrian rotation mechanisms through bottlenecks.
• To identify factors triggering and influencing rotational behaviors.
• To provide data for improving pedestrian flow models.

Main Methods:

• Utilized shoulder data for accurate rotation measurement (exceeding 30° threshold).
• Analyzed pedestrian interactions with obstacles and other pedestrians in simulated bottleneck scenarios.
• Quantified rotation types (active vs. reactive) and their underlying triggers.

Main Results:

• Shoulder data proved more reliable than head trajectories for rotation analysis.
• Identified a critical blocking difference (20%) as a trigger for rotation behaviors.
• Observed two distinct rotation types (Type I: active, Type II: reactive/corrective).
• Rotation axis proximity to the body center correlates with increased blocking and angular velocity.
• Rotation completion in confined spaces requires multiple step durations, increasing overall time.

Conclusions:

• Pedestrian rotation through bottlenecks is a complex behavior influenced by environmental factors and individual adaptation.
• The study provides empirical evidence for the mechanisms driving pedestrian rotation, supporting the development of more realistic crowd simulation models.
• Findings can inform the design of safer and more efficient pedestrian infrastructure.