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Improved social force model based on analysis of pedestrian panic emotion
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Shejun DENG1, Yuhao YU1, Junlin ZHANG2, Chao ZHANG2, Fuyu QIAN2, Shijun YU1
China Safety Science Journal | 2024, 34(2) : 45 - 52
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China Safety Science Journal | 2024, 34(2): 45-52
• Safety social science and safety management •
Improved social force model based on analysis of pedestrian panic emotion
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Shejun DENG1, Yuhao YU1, Junlin ZHANG2, Chao ZHANG2, Fuyu QIAN2, Shijun YU1
Affiliations
  • 1 College of Civil Science and Engineering，Yangzhou University，Yangzhou Jiangsu 225127，China
  • 2 Traffic Control Technology Co.，Ltd.，Beijing 100070，China
Published: 2024-02-28 doi: 10.16265/j.cnki.issn1003-3033.2024.02.1277
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In order to deeply analyze the influence of pedestrian panic on the efficiency of group evacuation under emergencies，this paper analyzed and constructed a quantitative model of pedestrian panic，which was composed of two parts: self-panic and panic propagation. First，the model considered factors such as detention time，local density，the distance between pedestrians and exits，the density of people around and the spread of pedestrian panic. Then it was introduced into the social force model for improvement and optimization，and verified the validity by comparing with the classical phenomenon. Finally，the simulation analysis was carried out using Anylogic software. The results show that the improved model can better reflect the evacuation movement characteristics of pedestrians in panic situations. A moderate panic，such as when the panic degree is less than 0.3，can accelerate the evacuation speed of the crowd. A high panic，such as when the panic value is greater than 0.3，can exacerbate the bottleneck phenomenon，and the so-called "fast is slow" phenomenon occurs，thus reducing the evacuation efficiency.

pedestrian panic  /  social force model  /  crowd evacuation  /  Anylogic  /  "Fast is slow"
Shejun DENG, Yuhao YU, Junlin ZHANG, Chao ZHANG, Fuyu QIAN, Shijun YU. Improved social force model based on analysis of pedestrian panic emotion[J]. China Safety Science Journal, 2024 , 34 (2) : 45 -52 . DOI: 10.16265/j.cnki.issn1003-3033.2024.02.1277
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Year 2024 volume 34 Issue 2
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.02.1277
  • Receive Date：2023-08-17
  • Online Date：2025-07-09
  • Published：2024-02-28
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  • Received：2023-08-17
  • Revised：2023-11-19
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Affiliations
    1 College of Civil Science and Engineering，Yangzhou University，Yangzhou Jiangsu 225127，China
    2 Traffic Control Technology Co.，Ltd.，Beijing 100070，China
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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
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