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An experimental study of the “faster-is-slower” effect using mice under panic

Author

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  • Lin, Peng
  • Ma, Jian
  • Liu, Tianyang
  • Ran, Tong
  • Si, Youliang
  • Li, Tao

Abstract

A number of crowd accidents in last decades have attracted the interests of scientists in the study of self-organized behavior of crowd under extreme conditions. The faster-is-slower effect is one of the most referenced behaviors in pedestrian dynamics. However, this behavior has not been experimentally verified yet. A series of experiments with mice under panic were conducted in a bi-dimensional space. The mice were trained to be familiar with the way of escape. A varying number of joss sticks were used to produce different levels of stimulus to drive the mice to escape. The evacuation process was video-recorded for further analysis. The experiment found that the escape times significantly increased with the levels of stimulus due to the stronger competition of selfish mice in panic condition. The faster-is-slower effect was experimentally verified. The probability distributions of time intervals showed a power law and the burst sizes exhibited an exponential behavior.

Suggested Citation

  • Lin, Peng & Ma, Jian & Liu, Tianyang & Ran, Tong & Si, Youliang & Li, Tao, 2016. "An experimental study of the “faster-is-slower” effect using mice under panic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 157-166.
    • Handle: RePEc:eee:phsmap:v:452:y:2016:i:c:p:157-166
    DOI: 10.1016/j.physa.2016.02.017
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    References listed on IDEAS

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    Cited by:

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    7. Xiao, Hanyi & Wang, Qiao & Zhang, Jun & Song, Weiguo, 2019. "Experimental study on the single-file movement of mice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 676-686.
    8. Shahhoseini, Zahra & Sarvi, Majid, 2019. "Pedestrian crowd flows in shared spaces: Investigating the impact of geometry based on micro and macro scale measures," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 57-87.
    9. Ren, Xiangxia & Zhang, Jun & Song, Weiguo & Cao, Shuchao, 2021. "Mechanisms of passing through short exits for the elderly and young adults," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 195-213.
    10. Haghani, Milad & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    11. Ding, Ning & Chen, Tao & Zhu, Yu & Lu, Yang, 2021. "State-of-the-art high-rise building emergency evacuation behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    12. Milad Haghani & Majid Sarvi & Zahra Shahhoseini & Maik Boltes, 2016. "How Simple Hypothetical-Choice Experiments Can Be Utilized to Learn Humans’ Navigational Escape Decisions in Emergencies," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-24, November.
    13. Zhang, Teng & Zhang, Xuelin & Huang, Shenshi & Li, Changhai & Lu, Shouxiang, 2018. "Collective behavior of mice passing through an exit under panic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 233-242.
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