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JDR Vol.19 No.2 pp. 379-385
(2024)
doi: 10.20965/jdr.2024.p0379

Paper:

Adaptive Formation by Pedestrian Small Groups During Egresses

Hisashi Murakami*,† ORCID Icon, Claudio Feliciani**,*** ORCID Icon, and Katsuhiro Nishinari**,*** ORCID Icon

*Faculty of Information and Human Science, Kyoto Institute of Technology
Matsugasakihashigami-cho, Sakyo-ku, Kyoto, Kyoto 606-8585, Japan

Corresponding author

**Research Center for Advanced Science and Technology, The University of Tokyo
Tokyo, Japan

***Department of Aeronautics and Astronautics, Graduate School of Engineering, The University of Tokyo
Tokyo, Japan

Received:
October 4, 2023
Accepted:
December 19, 2023
Published:
April 1, 2024
Keywords:
human crowd, pedestrian behavior, evacuation, social group
Abstract

Human crowd behavior is an intriguing example of collective behavior where global dynamics emerge from interindividual interactions. Although most studies of human crowds assume that all individuals are independent, the presence and impact of social groups, such as friends or families, have recently been explored. Spatial structures resulting from group behavior and decision-making processes are key aspects of social groups, and how such structures are formed and the impact of these are largely unknown, especially in the scenario of crowd evacuations. Here we experimentally show that in the vicinity of exits, dyads and triads form a representative formation, which would attenuate a disadvantage of small groups that are typically regarded as moving obstacles toward the evacuation dynamics. In laboratory experiments on crowd evacuations regarding small group behavior, we first observed no noticeable differences of egress time between monads and groups, which is contrary to a naïve intuitiveness but in agreement with recent experimental observations. To resolve this contradiction, a detailed analysis focusing on behavior in front of exits suggests that group members constitute a straight-line structure vertical to the exit. Our findings offer a new perspective on how adaptive small group behavior emerges during crowd evacuation.

Cite this article as:
H. Murakami, C. Feliciani, and K. Nishinari, “Adaptive Formation by Pedestrian Small Groups During Egresses,” J. Disaster Res., Vol.19 No.2, pp. 379-385, 2024.
Data files:
References
  1. [1] D. Helbing and A. Johansson, “Pedestrian, crowd, and evacuation dynamics,” R. A. Meyers (Ed.), “Encyclopedia of Complexity and Systems Science,” pp. 6476-6495, Springer, 2009.
  2. [2] R. Cont and J.-P. Bouchaud, “HERD behaviour and aggregate fluctuations in financial markets,” Macroecon. Dyn., Vol.4, No.2, pp. 170-196, 2000. https://doi.org/10.1017/S1365100500015029
  3. [3] I. D. Couzin and J. Krause, “Self-organization and collective behavior in vertebrates,” Adv. Stud. Behav., Vol.32, pp. 1-75, 2003. https://doi.org/10.1016/S0065-3454(03)01001-5
  4. [4] C. Feliciani, K. Shimura, and K. Nishinari, “Introduction to Crowd Management – Managing Crowds in the Digital Era: Theory and Practice,” Springer Nature, 2022.
  5. [5] M. Moussaïd, D. Helbing, S. Garnier et al., “Experimental study of the behavioural mechanisms underlying self-organization in human crowds,” Proc. Biol. Sci., Vol.276, pp. 2755-2762, 2009. https://doi.org/10.1098/rspb.2009.0405
  6. [6] D. Helbing and P. Molnár, “Social force model for pedestrian dynamics,” Phys. Rev. E, Vol.51, pp. 4282-4286, 1995. https://doi.org/10.1103/PhysRevE.51.4282
  7. [7] A. Johansson, D. Helbing, and P. K. Shukla, “Specification of the social force pedestrian model by evolutionary adjustment to video tracking data,” Adv. Complex Syst., Vol.10, No.supp02, pp. 271-288, 2007. https://doi.org/10.1142/S0219525907001355
  8. [8] G. Antonini, M. Bierlaire, and M. Weber, “Discrete choice models of pedestrian walking behavior,” Transp. Res. B, Vol.40, No.8, pp. 667-687, 2006. https://doi.org/10.1016/j.trb.2005.09.006
  9. [9] M. Moussaïd et al., “Traffic instabilities in self-organized pedestrian crowds,” PLoS Comput. Biol., Vol.8, Article No.e1002442, 2012. https://doi.org/10.1371/journal.pcbi.1002442
  10. [10] C. Feliciani and K. Nishinari, “Empirical analysis of the lane formation process in bidirectional pedestrian flow,” Phys. Rev. E, Vol.94, No.3, Article No.032304, 2016. https://doi.org/10.1103/PhysRevE.94.032304
  11. [11] H. Murakami, C. Feliciani, and K. Nishinari, “Lévy walk process in self-organization of pedestrian crowds,” J. R. Soc. Interface, Vol.16, Article No.20180939, 2019. https://doi.org/10.1098/rsif.2018.0939
  12. [12] H. Murakami, C. Feliciani, Y. Nishiyama, and K. Nishinari, “Mutual anticipation can contribute to self-organization in human crowds,” Sci. Adv., Vol.7, No.12, Article No.eabe7758, 2021. https://doi.org/10.1126/sciadv.abe7758
  13. [13] D. Helbing, A. Johansson, and H. Z. Al-Abideen, “The Dynamics of crowd disasters: An empirical study,” Phys. Rev. E, Vol.75, Article No.046109, 2007. https://doi.org/10.1103/PhysRevE.75.046109
  14. [14] W. Yu and A. Johansson, “Modeling crowd turbulence by many-particle simulations,” Phys. Rev. E, Vol.76, Article No.046105, 2007. https://doi.org/10.1103/PhysRevE.76.046105
  15. [15] A. Templeton, J. Drury, and A. Philippides, “From mindless masses to small groups: Conceptualizing collective behavior in crowd modeling,” Review of General Psychology, Vol.19, No.3, pp. 215-229, 2015. https://doi.org/10.1037/gpr0000032
  16. [16] M. Moussaïd, N. Perozo, S. Garnier, D. Helbing, and G. Theraulaz, “The walking behaviour of pedestrian social groups and its impact on crowd dynamics,” PLoS ONE, Vol.5, No.4, Article No.e10047, 2010. https://doi.org/10.1371/journal.pone.0010047
  17. [17] N. W. F. Bode, S. Holl, W. Mehner, and A. Seyfried, “Disentangling the impact of social groups on response times and movement dynamics in evacuations,” PLoS ONE, Vol.10, No.3, Article No.e0121227, 2015. https://doi.org/10.1371/journal.pone.0121227
  18. [18] M. Haghani and M. Sarvi, “Simulating dynamics of adaptive exit-choice changing in crowd evacuations: Model implementation and behavioral interpretations,” Transp. Res. C, Vol.103, pp. 56-82, 2019. https://doi.org/10.1016/j.trc.2019.04.009
  19. [19] L. Conradt and C. List, “Group decisions in humans and animals: A survey,” Proc. R. Soc. B, Vol.364, No.1518, pp. 719-742, 2009. https://doi.org/10.1098/rstb.2008.0276
  20. [20] D. J. T. Sumpter, “The principles of collective animal behavior,” Philos. Trans. R. Soc. B, Vol.361, No.1465, pp. 5-22, 2006. https://doi.org/10.1098/rstb.2005.1733
  21. [21] R. J. G. Clément, S. Krause, N. von Engelhardt, J. J. M. Faria, J. Krause, and R. H. J. M. Kurvers, “Collective cognition in humans: Groups outperform their best members in a sentence reconstruction task,” PLoS ONE, Vol.8, No.10, Article No.e77943, 2013. https://doi.org/10.1371/journal.pone.0077943
  22. [22] G. Köster, M. Seitz, F. Treml, D. Hartmann, and W. Klein, “On modeling the influence of group formations in a crowd,” Contemp. Soc. Sci., Vol.6, No.3, pp. 397-414, 2011. https://doi.org/10.1080/21582041.2011.619867
  23. [23] L. Lu, C.-Y. Chan, J. Wang, and W. Wang, “A study of pedestrian group behaviors in crowd evacuation based on an extended floor field cellular automaton model,” Transp. Res. C, Vol.81, pp. 317-329, 2017. https://doi.org/10.1016/j.trc.2016.08.018
  24. [24] C. von Krüchten and A. Schadschneider, “Empirical study on social groups in pedestrian evacuation dynamics,” Phys. A, Vol.475, pp. 129-141, 2017. https://doi.org/10.1016/j.physa.2017.02.004
  25. [25] M. Boltes and A. Seyfried, “Collecting pedestrian trajectories,” Neurocomputing, Vol.100, pp. 127-133, 2013. https://doi.org/10.1016/j.neucom.2012.01.036
  26. [26] M. Boltes, A. Seyfried, B. Steffen, and A. Schadschneider, “Automatic extraction of pedestrian trajectories from video recordings,” W. W. F. Klingsch, C. Rogsch, A. Schadschneider, and M. Schreckenberg (Eds.), “Pedestrian and Evacuation Dynamics 2008,” pp. 43-54, Springer-Verlag, 2010. https://doi.org/10.1007/978-3-642-04504-2_3

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Last updated on Jul. 12, 2024