A Social Force-Based Model for Pedestrian Evacuation with Static Guidance in Emergency Situations

With public safety receiving widespread attention from society, the question of how to effectively evacuate crowds has become a key issue. Leaders can provide pedestrians with clear and accurate route information and play an important role in daily crowd management and emergency safety evacuation. In this study, an evacuation model with static guidance considering the leader’s influence and the pedestrians’ decision-making behavior is proposed. The model is validated using experimental data, including evacuation behavior, evacuation time, and the percentage of the cumulative number of evacuees over time, and the simulation results match the experimental results well. Then, the model is applied to investigate the effect of different locations, numbers of static leaders, and different pedestrian distributions on evacuation efficiency in a room with unavailable exits. The results show that a leader located in the center of each potential exit can improve the overall evacuation efficiency, and the farther the guided pedestrian was from the correct exit, the better the overall evacuation performance of pedestrians. The distance parameter of multiple leaders is defined, and an optimal number of leaders exists in each specific scenario due to the overlap of leaders’ influencing areas. Furthermore, whether the pedestrians are uniformly or non-uniformly distributed, the evacuation time is shorter when the guided pedestrians are located farther from the correct exit. These findings can provide suggestions for crowd management and the arrangement of leaders in emergency evacuations.

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Publication Details

Journal
Fire
Published
2025-01-16
DOI
https://doi.org/10.3390/fire8010030
Citations
7
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
8.02

Funders

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article

A Social Force-Based Model for Pedestrian Evacuation with Static Guidance in Emergency Situations

Wenjun Liu, Ping Zhang, Jinzhong Wu, Lizhong Yang et al.
7 citations
Fire
Evacuation and Crowd Dynamics
8.02
article

A Social Force-Based Model for Pedestrian Evacuation with Static Guidance in Emergency Situations

Wenjun Liu, Ping Zhang, Jinzhong Wu, Lizhong Yang, Yujie Cui, Kaixuan Wang
article en
7 citations

Abstract

With public safety receiving widespread attention from society, the question of how to effectively evacuate crowds has become a key issue. Leaders can provide pedestrians with clear and accurate route information and play an important role in daily crowd management and emergency safety evacuation. In this study, an evacuation model with static guidance considering the leader’s influence and the pedestrians’ decision-making behavior is proposed. The model is validated using experimental data, including evacuation behavior, evacuation time, and the percentage of the cumulative number of evacuees over time, and the simulation results match the experimental results well. Then, the model is applied to investigate the effect of different locations, numbers of static leaders, and different pedestrian distributions on evacuation efficiency in a room with unavailable exits. The results show that a leader located in the center of each potential exit can improve the overall evacuation efficiency, and the farther the guided pedestrian was from the correct exit, the better the overall evacuation performance of pedestrians. The distance parameter of multiple leaders is defined, and an optimal number of leaders exists in each specific scenario due to the overlap of leaders’ influencing areas. Furthermore, whether the pedestrians are uniformly or non-uniformly distributed, the evacuation time is shorter when the guided pedestrians are located farther from the correct exit. These findings can provide suggestions for crowd management and the arrangement of leaders in emergency evacuations.

FireVol. 8(1)
University of Science and Technology of China (CN), Chongqing Jiaotong University (CN)
Natural Science Foundation of Chongqing, Centre Scientifique et Technique du Bâtiment, National Key Research and Development Program of China
Openalex Percentile: Top 3%
Evacuation and Crowd Dynamics
8.02
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