Collective patterns of pedestrians interacting with attractions
Jaeyoung Kwak

TL;DR
This paper develops mathematical models to simulate how attractions influence pedestrian flow, revealing complex interactions that can impact crowd movement and safety in public spaces.
Contribution
It introduces novel models incorporating attraction attractiveness and crowd preferences to better understand pedestrian behavior around attractions.
Findings
Attractions significantly alter pedestrian flow patterns.
Models predict congestion and potential safety issues near popular attractions.
Insights can inform better crowd management strategies.
Abstract
Walking is a fundamental activity of human life, not only for moving between places but also for interacting with surrounding environments. While walking to destinations, pedestrians may acquaint themselves with attractions such as artworks, shop displays, and public events. If such attractions are tempting enough, pedestrians opt to stop walking in order to join the attractions. In crowded conditions, the existence of attractions may considerably affect the pedestrian flow patterns. One can see that the attracted pedestrians often impede passerby flow near the attractions during peak hour in a shopping center. During shopping holidays such as Black Friday in the United States, shoppers are competing for very attractive products in stores and such behavior might lead to pedestrian incidents. The work presented in this dissertation reproduced those phenomena in numerical simulations by…
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Taxonomy
TopicsEvacuation and Crowd Dynamics · Traffic control and management · Transportation Planning and Optimization
