Understanding Crowd Responses to Perceived Hostile Threats: An Innovative Multidisciplinary Approach
DOI:
https://doi.org/10.17815/CD.2024.157Keywords:
Virtual reality, Crowd dynamics, Crowd psychology, Observation methodAbstract
People facing threat may evacuate, help others, share information, ignore the threat and the plight of others, or enact a combination of these behaviours. Accurate conceptual models of crowd behaviours must consider why and when these behaviours occur, as well as how people's responses may vary across different scenarios. Researchers have investigated crowd responses to threats using a variety of methods, such as interviews, observational analysis and virtual reality experiments. Each methodology offers benefits to understanding collective responses to threats, but each methodology also has limitations. Importantly, very little research has explored crowd responses in false alarm situations where crowd members misperceive that a threat exists. In this paper, we describe a new programme of work which combines approaches from safety engineering and crowd psychology to gain a thorough understanding of crowd behaviour in response to real and misperceived threats, and the processes underpinning the behaviour. We focus on how we identified and addressed the similarities and differences in our research questions, conceptual approaches to research, and methodological abilities. We demonstrate how our multidisciplinary approach provides a framework for combining diverse research methods that collectively build knowledge to create more accurate models of crowd responses to (mis)perceived threats.
References
The Kerslake report: An independent review into the preparedness for, and emergency response to, the Manchester Arena attack on 22nd (2017). URL https://www.kerslakearenareview.co.uk/media/1022/kerslake_arena_review_printed_final.pdf
Ntontis, E., Drury, J., Amlôt, R., Rubin, G.J., Williams, R.: Emergent social identities in a flood: Implications for community psychosocial resilience. J Community Appl Soc Psychol. 28(1), 3–14 (2018). doi:10.1002/casp.2329
Barr, D., Drury, J., Butler, T., Choudhury, S., Neville, F.: Beyond ‘stampedes’: Towards a new psychology of crowd crush disasters. British Journal of Social Psychology (2023). doi:10.1111/bjso.12666
Drury, J., Choudhury, S., Bell, L., Barr, D., Arias, S., Au-Yeung, T., et al.: Public behaviour in response to perceived hostile threats: An evidence base and guide for practitioners and policymakers (2023). URL https://hdl.handle.net/10779/uos.23494949.v1
Arias, S., Mossberg, A., Nilsson, D., Wahlqvist, J.: A study on evacuation behavior in physical and virtual reality experiments. Fire Technol 58(2), 817-49 (2022). doi:10.1007/s10694-021-01172-4
D’Orazio, M., Spalazzi, L., Quagliarini, E., Bernardini, G.: Agent-based model for earthquake pedestrians’ evacuation in urban outdoor scenarios: Behavioural patterns definition and evacuation paths choice. Saf Sci. 62, 450–65 (2014). doi:10.1016/j.ssci.2013.09.014
Drury, J.: The role of social identity processes in mass emergency behaviour: An integrative review. Eur Rev Soc Psychol. 29(1), 38-81 (2018). doi:10.1080/10463283.2018.1471948
Drury, J., Cocking, C., Reicher, S.: The nature of collective resilience: Survivor reactions to the 2005 London bombings. International Journal of Mass Emergencies and Disasters 27 (2009)
Kinateder, M., Ronchi, E.: Letter to the editor: Burning down the silos in a multidisciplinary field. towards unified quality criteria in human behaviour in fire. Fire Technology 55, 1931–5 (2019). doi:10.1007/s10694-019-00867-z
Kinateder, M., Ronchi, E., Nilsson, D., Kobes, M., Müller, M., Pauli, P., Mülberger, A.: Virtual reality for fire evacuation research. In: 2014 Federated Conference on Computer Science and Information Systems, p. 313–21 (2014). doi:10.15439/2014F94
Ronchi, E., Nilsson, D., Kojić, S., Eriksson, J., Lovreglio, R., Modig, H., Waler, A.L.: A virtual reality experiment on flashing lights at emergency exit portals for road tunnel evacuation. Fire Technol 52(3), 623-47 (2016). doi:10.1007/s10694-015-0462-5
Drury, J., Cocking, C., Reicher, S., Burton, A., Schofield, D., Hardwick, A., Graham, D., Langston, P.: Cooperation versus competition in a mass emergency evacuation: A new laboratory simulation and a new theoretical model. Behav Res Methods 41(3), 957-70 (2009). doi:10.3758/BRM.41.3.957
Slater, M., Rovira, A., Southern, R., Swapp, D., Zhang, J.J., Campbell, C., Levine, M.: Bystander responses to a violent incident in an immersive virtual environment. PLoS One 8(1), e52766 (2013). doi:10.1371/journal.pone.0052766
Kinateder, M., Warren, W.H.: Social influence on evacuation behaviour in real and virtual environments. Frontiers in Robotics and AI 3(43) (2016). doi:10.3389/frobt.2016.00043
UKRI: Perceived threats and ‘stampedes’: A relational model of collective fear responses URL https://gtr.ukri.org/projects?ref=ES%2FT007249%2F1
Adrian, J., Bode, N., Amos, M., Baratchi, M., Beermann, M., Boltes, M., et al.: A glossary for research on human crowd dynamics. Collect Dyn 4 (2019). doi:10.17815/CD.2019.19
Philpot, R., Levine, M.: Evacuation behavior in a subway train emergency: A video-based analysis. Environ Behav 54(2), 383-411 (2022). doi:10.1177/00139165211031193
Kuligowski, E.D.: Terror defeated: Occupant sensemaking, decision-making and protective action in the 2001 World Trade Centre disaster [PhD thesis]. Colorado: University of Colorado (2022). URL https://scholar.colorado.edu/concern/graduate_thesis_or_dissertations/6t053g11g
Song, D., Qiao, Y., Corbetta, A.: Depth driven people counting using deep region proposal network. IEEE International Conference (2017). doi:10.1109/ICInfA.2017.8078944
Balboa, A., González-Villa, J., Cuesta, A., Abreu, O., Alvear, D.: Testing a real-time intelligent evacuation guiding system for complex buildings. Saf Sci 132 (2022). doi:10.1016/j.ssci.2020.104970
Bell, L., Drury, J., Barr, D.: The Oxford Street false alarm, 24th November 2017: Full triangulated account. University of Sussex (2023). URL https://osf.io/8f6xn/
Au-Yeung, T., Philpot, R., Stott, C., Radburn, M., Drury, J.: Spontaneous public response to a marauding knife attack on the London underground: Sociality, coordination and a repertoire of actions evidenced by CCTV footage. British Journal of Social Psychology 63(2), 767-791 (2023). doi:10.1111/bjso.12703
Kinateder, M., Ronchi, E., Gromer, D., Müller, M., Jost, M., Nehfischer, M., Mühlberger, A., Pauli, P.: Social influence on route choice in a virtual reality tunnel fire. Transp Res Part F Traffic Psychol Behav 26(Part A), 116–25 (2014). doi:10.1016/j.trf.2014.06.003
Arias, S., La Mendola, S., Wahlqvist, J., Rios, O., Nilsson, D., Ronchi, E.: Virtual reality evacuation experiments on way-finding systems for the future circular collider. Fire Technol 55(6), 2319–40 (2019). doi:10.1007/s10694-019-00868-y
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Copyright (c) 2024 Anne Templeton, Maïka Telga, Enrico Ronchi, Fergus Neville, Stephen Reicher, John Drury
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