Effects of switching behavior for the attraction on pedestrian dynamics

TL;DR

This study models how pedestrians' switching behavior influenced by attractions affects collective movement patterns, revealing phases of attraction saturation and providing insights for pedestrian facility management.

Contribution

It introduces a behavioral model capturing collective pedestrian patterns influenced by attraction strength and social influence, with phase diagrams illustrating different behavioral regimes.

Findings

Strong social influence leads to full attraction saturation.

Weak social influence results in mixed pedestrian behaviors.

Phase diagrams categorize pedestrian responses based on influence and stay duration.

Abstract

Walking is a fundamental activity of our daily life not only for moving to other places but also for interacting with surrounding environment. While walking on the streets, pedestrians can be aware of attractions like shopping windows. They can be influenced by the attractions and some of them might shift their attention towards the attractions, namely switching behavior. As a first step to incorporate the switching behavior, this study investigates collective effects of switching behavior for an attraction by developing a behavioral model. Numerical simulations exhibit different patterns of pedestrian behavior depending on the strength of the social influence and the average length of stay. When the social influence is strong along with a long length of stay, a saturated phase can be defined at which all the pedestrians have visited the attraction. If the social influence is not strong enough, an unsaturated phase appears where one can observe that some pedestrians head for the attraction while others walk in their desired direction. These collective patterns of pedestrian behavior are summarized in a phase diagram by comparing the number of pedestrians who visited the attraction to the number of passersby near the attraction. Measuring the marginal benefits with respect to the strength of the social influence and the average length of stay enables us to identify under what conditions enhancing these variables would be more effective. The findings from this study can be understood in the context of the pedestrian facility management, for instance, for retail stores.