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Modified two-layer social force model for emergency earthquake evacuation

Author

Listed:
  • Zhang, Hao
  • Liu, Hong
  • Qin, Xin
  • Liu, Baoxi

Abstract

Studies of crowd behavior with related research on computer simulation provide an effective basis for architectural design and effective crowd management. Based on low-density group organization patterns, a modified two-layer social force model is proposed in this paper to simulate and reproduce a group gathering process. First, this paper studies evacuation videos from the Luan’xian earthquake in 2012, and extends the study of group organization patterns to a higher density. Furthermore, taking full advantage of the strength in crowd gathering simulations, a new method on grouping and guidance is proposed while using crowd dynamics. Second, a real-life grouping situation in earthquake evacuation is simulated and reproduced. Comparing with the fundamental social force model and existing guided crowd model, the modified model reduces congestion time and truly reflects group behaviors. Furthermore, the experiment result also shows that a stable group pattern and a suitable leader could decrease collision and allow a safer evacuation process.

Suggested Citation

  • Zhang, Hao & Liu, Hong & Qin, Xin & Liu, Baoxi, 2018. "Modified two-layer social force model for emergency earthquake evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1107-1119.
  • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:1107-1119
    DOI: 10.1016/j.physa.2017.11.041
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    Citations

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    Cited by:

    1. Sun, Yutong & Liu, Hong, 2021. "Crowd evacuation simulation method combining the density field and social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    2. Li, Xingli & Guo, Fang & Kuang, Hua & Geng, Zhongfei & Fan, Yanhong, 2019. "An extended cost potential field cellular automaton model for pedestrian evacuation considering the restriction of visual field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 47-56.
    3. Zheng, Linjiang & Peng, Xiaoli & Wang, Linglin & Sun, Dihua, 2019. "Simulation of pedestrian evacuation considering emergency spread and pedestrian panic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 167-181.
    4. Tamang, Nutthavuth & Sun, Yi, 2023. "Application of the dynamic Monte Carlo method to pedestrian evacuation dynamics," Applied Mathematics and Computation, Elsevier, vol. 445(C).
    5. Yongqing Guo & Siyuan Ma & Fulu Wei & Liqun Lu & Feng Sun & Jie Wang, 2022. "Analysis of Behavior Characteristics for Pedestrian Twice-Crossing at Signalized Intersections Based on an Improved Social Force Model," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    6. Zheng, Ying & Li, Xingang & Zhu, Nuo & Jia, Bin & Jiang, Rui, 2018. "Evacuation dynamics with smoking diffusion in three dimension based on an extended Floor-Field model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 414-426.
    7. Yu Song & Jia Liu & Qian Liu, 2021. "Dynamic Decision-Making Process of Evacuees during Post-Earthquake Evacuation near an Automatic Flap Barrier Gate System: A Broken Windows Perspective," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    8. Liu, Jing & Jia, Yang & Mao, Tianlu & Wang, Zhaoqi, 2022. "Modeling and simulation analysis of crowd evacuation behavior under terrorist attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    9. Zhang, Wenke & Zhang, Zhichao & Ma, Yueyao & Lee, Eric Wai Ming & Shi, Meng, 2024. "Psychological impatience in pedestrian evacuation: modelling, simulations and experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
    10. Lu, Peng & Wen, Feier & Li, Yan & Chen, Dianhan, 2021. "Multi-agent modeling of crowd dynamics under mass shooting cases," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    11. Zou, Baobao & Lu, Chunxia & Mao, Shirong & Li, Yi, 2020. "Effect of pedestrian judgement on evacuation efficiency considering hesitation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
    12. Li, Xiao-Yang & Lin, Zhi-Yang & Zhang, Peng & Zhang, Xiao-Ning, 2023. "Reconstruction of density and cost potential field of Eikonal equation: Applications to discrete pedestrian flow models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
    13. Khamis, Nurulaqilla & Selamat, Hazlina & Ismail, Fatimah Sham & Lutfy, Omar Farouq & Haniff, Mohamad Fadzli & Nordin, Ili Najaa Aimi Mohd, 2020. "Optimized exit door locations for a safer emergency evacuation using crowd evacuation model and artificial bee colony optimization," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    14. Geng, Zhongfei & Li, Xingli & Kuang, Hua & Bai, Xuecen & Fan, Yanhong, 2019. "Effect of uncertain information on pedestrian dynamics under adverse sight conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 681-691.
    15. Zhang, Jianxin & Liu, Hong & Li, Yan & Qin, Xin & Wang, Shouna, 2018. "Video-driven group behavior simulation based on social comparison theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 620-634.
    16. Subramanian, Gayathri Harihara & Choubey, Nipun & Verma, Ashish, 2022. "Modelling and simulating serpentine group behaviour in crowds using modified social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    17. Yunyun Niu & Jieqiong Zhang & Yongpeng Zhang & Jianhua Xiao, 2019. "Modeling Evacuation of High-Rise Buildings Based on Intelligence Decision P System," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    18. Ding, Ning & Zhu, Yu & Liu, Xinyan & Dong, Dapeng & Wang, Yang, 2024. "A modified social force model for crowd evacuation considering collision predicting behaviors," Applied Mathematics and Computation, Elsevier, vol. 466(C).

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