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Quantifying crowding perception at large events using beacons and surveys.

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People accurately perceive crowded times and locations at large events. However, judging crowd density is relative, and time perception is biased towards exits, highlighting the need for adaptive crowd management strategies.

Keywords:
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Area of Science:

  • Urban planning
  • Crowd psychology
  • Human-computer interaction

Background:

  • Increasing urban populations and mobility necessitate effective crowd management at large-scale events.
  • Understanding individual perceptions of crowding is vital for ensuring safety and optimizing event experiences.

Purpose of the Study:

  • To examine how participants perceive crowding at Tokyo Big Sight exhibitions.
  • To compare perceived crowding (times, locations, density) with actual measurements.
  • To inform adaptive crowd management strategies based on subjective experiences.

Main Methods:

  • Integrated participant questionnaires with real-time beacon tag data.
  • Collected data during exhibitions at Tokyo Big Sight, Japan.
  • Analyzed correlations between perceived and measured crowding metrics.

Main Results:

  • Participant perceptions of peak crowding times and locations closely matched measured data.
  • Individuals demonstrated higher accuracy in identifying crowded moments and areas.
  • Perceptions of crowd density lacked absolute accuracy, showing a relative, context-dependent bias.
  • Time perception was notably biased towards exit times.

Conclusions:

  • Event organizers and urban planners must acknowledge the subjective and relative nature of crowding perception.
  • Adaptive management strategies are essential to align with individual experiences and ensure effective crowd control.
  • Integrating perceived data with objective measurements can enhance safety and operational efficiency at large venues.