Proxemics and Permeability of the Pedestrian Group

2025-10-30

AI Summary

This study investigates how interpersonal interactions among pedestrian groups shape collective proxemic structures—specifically, spatial zoning around groups, regional occupancy frequency, and “clearing behavior” exhibited by individuals approaching groups. Method: Leveraging large-scale, naturalistic video observation data, we integrate spatial point pattern analysis with behavioral sequence statistics to construct a dynamic, quantifiable model of group-peripheral permeability. Contribution/Results: We identify three concentric, progressively restrictive social zones surrounding groups—beyond the public zone—revealing that individual approach behaviors are infrequent, brief, and occur in incremental, stepwise penetration. This provides the first empirical evidence for a stratified proxemic structure in group contexts. The findings confirm systematic regulatory effects of social norms on collective spatial organization and advance theoretical understanding of the spatial logic underlying group movement. These insights offer novel foundations for agent-based crowd simulation and evidence-informed design of public spaces.

Technology Category

Cognitive Modeling & Cognitive Systems: Social Cognition And InteractionMultiagent Systems: Agent-Based Simulation and Emergent BehaviorHumans and AI: Understanding People, Theories, Concepts and Methods

Application Category

User Modeling, Personalization and Recommendation: Practical large-scale studies of user experienceSecurity and Privacy: Large-scale security measurementsSocial Networks and Social Media: Analysis of web-mediated communications, communities, and crowds

Abstract

People tend to walk in groups, and interactions with those groups have a significant impact on crowd behavior and pedestrian traffic dynamics. Social norms can be seen as unwritten rules regulating people interactions in social settings. This article studies people interactions with groups and the emergence of group proxemics. Group zones, zone occupancy counts and people clearance from the group are studied using naturalistic data. Analysis indicate potential presence of three different zones in addition to the public zone. People tend to remain in the public zone and only progressively get closer to groups, and those closer approaches happen in a low frequency and for brief periods of time.

Problem

• Analyzing pedestrian group proxemics and social interaction zones
• Studying zone occupancy patterns and group clearance behaviors
• Investigating frequency and duration of close group approaches

Innovation

• Analyzing pedestrian group zones using naturalistic data
• Identifying three distinct zones beyond public space
• Observing infrequent brief close approaches to groups