Abstract
Agent-based models of group behaviour often lack evidence-based psychological reasons for the behaviour. Similarly, pedestrian behaviour models focus on modelling physical movement while ignoring the psychological reasons leading to those movements (or other relevant behaviours). To improve realism, we need to be able to reflect behaviour as a consequence of feeling part of a psychological group, so we better understand why collective behaviour occurs under different circumstances. The social identity approach has been recognised as a way of understanding within and between group dynamics, as well as the processes that make an individual act as a group member. However, as promising the social identity approach is, the formalisation is a challenging endeavour since different choices can be made to reflect the core concepts and processes. We therefore in this paper elaborate on a few of these formalisation challenges and the choices we made. To support the formalisation and use of social identity approach and finally for the increased realism in group behaviour models, such as pedestrian models that are so heavily used to manage real world crowds.
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References
Moussaïd, M., Helbing, D., Theraulaz, G.: How simple rules determine pedestrian behavior and crowd disasters. Proc. Natl. Acad. Sci. 108, 6884–6888 (2011). https://doi.org/10.1073/pnas.1016507108
Vizzari, G., Manenti, L., Ohtsuka, K., Shimura, K.: An agent-based pedestrian and group dynamics model applied to experimental and real-world scenarios. J. Intell. Transp. S 19, 32–45 (2014). https://doi.org/10.1080/15472450.2013.856718
Turgut, Y., Bozdag, C. E.: Modeling pedestrian group behavior in crowd evacuations. Fire Mater. (2021). https://doi.org/10.1002/fam.2978
Drury, J., Cocking, C., Reicher, S.: Everyone for themselves? A comparative study of crowd solidarity among emergency survivors. Brit. J. Soc. Psychol. 48, 487–506 (2009). https://doi.org/10.1348/014466608x357893
Drury, J., Reicher, S., Stott, C.: Transforming the boundaries of collective identity: from the ‘local’ anti-road campaign to ‘global’ resistance? Soc. Mov. Stud. 2, 191–212 (2010). https://doi.org/10.1080/1474283032000139779
Stott, C., Reicher, S.: Mad Mobs and Englishmen?: Myths and realities of the 2011 riots. Constable and Robinson, London, UK (2011)
Templeton, A., Neville, F.: Modeling collective behaviour: insights and applications from crowd psychology. In: 5th ed. Springer International Publishing, pp. 55–81 (2020)
Sawyer, R.K.: Social explanation and computational simulation. Philos. Explor. 7, 219–231 (2004). https://doi.org/10.1080/1386979042000258321
Reicher, S.D., Spears, R., Haslam, S.A.: The Social Identity Approach in Social Psychology, pp. 45–62. SAGE Publications Ltd (2010)
Hopkins, N., Reicher, S.: Mass gatherings, health, and well-being: from risk mitigation to health promotion. Soc. Iss. Policy Rev. 15, 114–145 (2021). https://doi.org/10.1111/sipr.12071
Cocking, C., Drury, J.: Talking about Hillsborough: ‘Panic’ as discourse in survivors’ accounts of the 1989 football stadium disaster. J. Community Appl Soc. 24, 86–99 (2014). https://doi.org/10.1002/casp.2153
Drury, J., Carter, H., Cocking, C., et al.: Facilitating collective psychosocial resilience in the public in emergencies: twelve recommendations based on the social identity approach. Front. Public Health 7, 141 (2019). https://doi.org/10.3389/fpubh.2019.00141
Adrian, J., Bode, N., Amos, M., et al.: A glossary for research on human crowd dynamics. Collective Dyn. 4, A19–13 (2019). https://doi.org/10.17815/cd.2019.19
Templeton, A., Drury, J., Philippides, A.: From mindless masses to small groups: conceptualizing collective behavior in crowd modeling. Rev. General Psychol. 1–16 (2015). https://doi.org/10.1037/gpr0000032
Tajfel, H., Turner, J.C.: An integrative theory of intergroup conflict. In: Worchel, S. (ed.) Austin WG, pp. 33–47. Brooks/Cole, Monterey (1979)
Turner, J.C., Hogg, M.A., Oakes, P.J., et al.: Rediscovering the Social Group: A Self-Categorization Theory. Basil Blackwell, Oxford (1987)
Reicher, S.D.: Mass action and mundane reality: an argument for putting crowd analysis at the centre of the social sciences. Contempor. Soc. Sci. 6, 433–449 (2011). https://doi.org/10.1080/21582041.2011.619347
Alnabulsi, H., Drury, J.: Social identification moderates the effect of crowd density on safety at the Hajj. Proc. Natl. Acad. Sci. 111, 9091–9096 (2014). https://doi.org/10.1073/pnas.1404953111
Novelli, D., Drury, J., Reicher, S., Stott, C.: Crowdedness mediates the effect of social identification on positive emotion in a crowd: a survey of two crowd events. PLoS ONE 8, e78983 (2013). https://doi.org/10.1371/journal.pone.0078983
Templeton, A., Drury, J., Philippides, A.: Walking together: behavioural signatures of psychological crowds. Royal Soc. Open Sci. 5, 180172–180214 (2018). https://doi.org/10.1098/rsos.180172
Drury, J., Brown, R., González, R., Miranda, D.: Emergent social identity and observing social support predict social support provided by survivors in a disaster: solidarity in the 2010 Chile earthquake. Eur. J. Soc. Psychol. 46, 209–223 (2016). https://doi.org/10.1002/ejsp.2146
Novelli, D., Drury, J., Reicher, S.: Come together: two studies concerning the impact of group relations on personal space. Brit. J. Soc. Psychol. 49, 223–236 (2010). https://doi.org/10.1348/014466609x449377
Templeton, A., Drury, J., Philippides, A.: Placing large group relations into pedestrian dynamics: psychological crowds in counterflow. Collect Dyn. 4, 1–22 (2020). https://doi.org/10.17815/cd.2019.23
Roccas, S., Brewer, M.B.: Social identity complexity. Pers. Soc. Psychol. Rev. 6, 88–106 (2007). https://doi.org/10.1207/s15327957pspr0602_01
von Sivers, I., Templeton, A., Künzner, F., et al.: Modelling social identification and helping in evacuation simulation. Safety Sci. 89, 288–300 (2016). https://doi.org/10.1016/j.ssci.2016.07.001
Scholz, G., Eberhard, T., Ostrowski, R., Wijermans, N.: Social identity in agent-based models—Exploring the state of the art. In: Advances in Social Simulation, Proceedings of the 15th Social Simulation Conference. pp. 59–64 (2021)
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Wijermans, N., Templeton, A. (2022). Towards More Realism in Pedestrian Behaviour Models: First Steps and Considerations in Formalising Social Identity. In: Czupryna, M., Kamiński, B. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-92843-8_5
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