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Simulation of crowd evacuation under attack considering emotion spreading |
| Yang Wang(王杨)1,2, Ning Ding(丁宁)1,2,3,†, Dapeng Dong(董大鹏)1, and Yu Zhu(朱萸)4 |
1 Public Security Behavioral Science Laboratory, People's Public Security University of China, Beijing 100084, China;
2 School of Public Order, People's Public Security University of China, Beijing 100084, China;
3 Center For Capital Social Safety, People's Public Security University of China, Beijing 100084, China;
4 Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China |
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Abstract In recent years, attacks against crowded places such as campuses and theaters have had a frequent and negative impact on the security and stability of society. In such an event, the crowd will be subjected to high psychological stress and their emotions will rapidly spread to others. This paper establishes the attack-escape evacuation simulation model (AEES-SFM), based on the social force model, to consider emotion spreading under attack. In this model, (1) the attack-escape driving force is considered for the interaction between an attacker and evacuees and (2) emotion spreading among the evacuees is considered to modify the value of the psychological force. To validate the simulation, several experiments were carried out at a university in China. Comparing the simulation and experimental results, it is found that the simulation results are similar to the experimental results when considering emotion spreading. Therefore, the AEES-SFM is proved to be effective. By comparing the results of the evacuation simulation without emotion spreading, the emotion spreading model reduces the evacuation time and the number of casualties by about 30%, which is closer to the real experimental results. The results are still applicable in the case of a 40-person evacuation. This paper provides theoretical support and practical guidance for campus response to violent attacks.
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Received: 15 July 2024
Revised: 20 September 2024
Accepted manuscript online: 09 October 2024
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PACS:
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89.20.-a
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(Interdisciplinary applications of physics)
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89.40.-a
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(Transportation)
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07.05.Tp
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(Computer modeling and simulation)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant No. 72274208). |
Corresponding Authors:
Ning Ding
E-mail: dingning_thu@126.com
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Cite this article:
Yang Wang(王杨), Ning Ding(丁宁), Dapeng Dong(董大鹏), and Yu Zhu(朱萸) Simulation of crowd evacuation under attack considering emotion spreading 2024 Chin. Phys. B 33 128901
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[1] Schwarz E D and Kowalski JM1991 Journal of the American Academy of Child & Adolescent Psychiatry 30 936
[2] Livingston M D, Rossheim M E and Hall K S 2019 Journal of Adolescent Health 64 797
[3] Hilal S M, Densley J A, Li S D and Ma Y 2014 Homicide Studies 18 83
[4] Wang J, Ni S J, Shen S F and Li S Y 2019 Physica A 523 1
[5] Lu P, Zhang Z, Li M D, Chen D H and Yang H 2020 Knowledge-Based Systems 205 106291
[6] Jonson C L, Moon M M and Hendry J A 2020 Journal of School Violence 19 154
[7] van der Wal C N, Robinson M A, de Bruin W B and Gwynne S 2021 Safety Science 136 105121
[8] Liu Q 2020 International Journal of Disaster Risk Reduction 46 101605
[9] Deng K F, Li M, Hu X M and Chen T 2024 Chin. Phys. B 33 028901
[10] Cai Z Y, Zhou R, Cui Y K and Jiang J C 2023 Chin. Phys. B 32 020507
[11] Yang X X, Jiang H L, Kang Y L, Yang Y, Li Y X and Yu C 2022 Chin. Phys. B 31 078901
[12] Liu Q 2018 Physica A 502 315
[13] Arteaga C and Jee W P 2020 Safety Science 127 104692
[14] Liu J M, Zhang H, Ding N and Li Y T 2024 Physica A 633 129403
[15] Shang H Y, Feng P F Zhang J and Chu H R 2023 Transportmetrica A: Transport Science 19 1995529
[16] Zheng L J, Peng X L, Wang L L and Sun D H 2019 Physica A 522 167
[17] Helbing D and Peter M 1995 Phys. Rev. E 51 4282
[18] Gao Y, Chen T, Peter B L and Zhang H 2017 Fire Technology 53 331
[19] Ding N, Zhu Y, Liu X Y, Dong D P and Wang Y 2024 Applied Mathematics and Computation 466 128448
[20] Yang L Y and Ding N 2023 Safety Science 166 106243
[21] Bosse T, Duell R, Memon Z A, Treur J and Van Der Wal C N 2009 In Principles of Practice in Multi-Agent Systems: 12th International Conference, December 14-16, Nagoya, Japan, p. 48
[22] Bosse T, Duell R, Memon Z A, Treur J and Van Der Wal C N 2015 Cognitive Computation 7 111 |
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