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Selfishness- and Selflessness-based models of pedestrian room evacuation

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  • Song, Xiao
  • Ma, Liang
  • Ma, Yaofei
  • Yang, Chen
  • Ji, Hang

Abstract

Some pedestrian evacuation studies have employed game strategy to deal with moving conflicts involving two or three pedestrians. However, most of these have simply presented game strategies for pedestrians without analyzing the reasons why they choose to defect or cooperate. We believe that selfish and selfless behaviors are two main factors that should be considered in evacuation. In addition to these behaviors, human emotions such as sympathy and behaviors such as vying were also taken into account to investigate their impacts on pedestrians’ strategies. Moreover, an essential objective factor, the building design factor of door width was tested and analyzed. Experimental results showed that the sense of self leads to more defectors and a longer evacuation time. However, sympathy does some good, leading to more cooperators and a shorter evacuation time. Moreover, the exit door width is an essential factor of the evacuation efficiency. When the width was less than 6 cells in a rectangular room with a size greater than 50 × 50, the evacuation time greatly decreased when the width increased. However, this effect was less obvious when the width increased.

Suggested Citation

  • Song, Xiao & Ma, Liang & Ma, Yaofei & Yang, Chen & Ji, Hang, 2016. "Selfishness- and Selflessness-based models of pedestrian room evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 455-466.
  • Handle: RePEc:eee:phsmap:v:447:y:2016:i:c:p:455-466
    DOI: 10.1016/j.physa.2015.12.041
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Zhang, Yihao & Chai, Zhaojie & Lykotrafitis, George, 2021. "Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    2. Dian Sun & Lupeng Zhang & Zifeng Su, 2020. "Evacuate or Stay? A Typhoon Evacuation Decision Model in China Based on the Evolutionary Game Theory in Complex Networks," IJERPH, MDPI, vol. 17(3), pages 1-17, January.
    3. Cui, Geng & Yanagisawa, Daichi & Nishinari, Katsuhiro, 2021. "Incorporating genetic algorithm to optimise initial condition of pedestrian evacuation based on agent aggressiveness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    4. Xu, Chenchen & Luo, Yiyang & Fuellhart, Kurt & Shao, Quan & Witlox, Frank, 2023. "Modeling exit choice behavior in airplane emergency evacuations," Journal of Air Transport Management, Elsevier, vol. 112(C).
    5. Jong-Yeong Son & Young-Hoon Bae & Young-Chan Kim & Ryun-Seok Oh & Won-Hwa Hong & Jun-Ho Choi, 2020. "Consideration of the Door Opening Process in Pedestrian Flow: Experiments on Door Opening Direction, Door Handle Type, and Limited Visibility," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    6. Miyagawa, Daiki & Ichinose, Genki, 2020. "Cellular automaton model with turning behavior in crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    7. 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).
    8. Qiu, Hongpeng & Wang, Xuan & Lin, Peng & Lee, Eric W.M., 2024. "Effects of step time and neighbourhood rules on pedestrian evacuation using an extended cellular automata model considering aggressiveness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
    9. Ma, Yaping & Li, Lihua & Zhang, Hui & Chen, Tao, 2017. "Experimental study on small group behavior and crowd dynamics in a tall office building evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 488-500.
    10. Song, Xiao & Sun, Jinghan & Xie, Hongnan & Li, Qiyuan & Wang, Zilie & Han, Daolin, 2018. "Characteristic time based social force model improvement and exit assignment strategy for pedestrian evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 530-548.
    11. Chen, Kai & Song, Xiao & Han, Daolin & Sun, Jinghan & Cui, Yong & Ren, Xiaoxiang, 2020. "Pedestrian behavior prediction model with a convolutional LSTM encoder–decoder," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    12. Tian, Huan-huan & Wei, Yan-fang & Dong, Li-yun & Xue, Yu & Zheng, Rong-sen, 2018. "Resolution of conflicts in cellular automaton evacuation model with the game-theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 991-1006.
    13. Chen, Kai & Song, Xiao & Ren, Xiaoxiang, 2021. "Modeling social interaction and intention for pedestrian trajectory prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    14. Song, Xiao & Zhang, Zenghui & Peng, Gongzhuang & Shi, Guoqiang, 2017. "Effect of authority figures for pedestrian evacuation at metro stations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 599-612.
    15. Song, Xiao & Han, Daolin & Sun, Jinghan & Zhang, Zenghui, 2018. "A data-driven neural network approach to simulate pedestrian movement," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 827-844.

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