Abstract
Previous studies on crowd disasters have highlighted the importance of considering turning and intersecting movement patterns in an escape area. Given the scarcity of data on human panic, there may be merit to use insights from non-human organisms to understand crowd panic as collective behaviour patterns also occur in non-human biological systems. We use model organisms approach by examining empirical data collected from panicking Argentine ants to study crowd panic at turning and intersection. The empirical data showed that the outflow of ants do not decrease proportionately with the increase in turning angles. Likewise, at intersection it was observed that one stream of ants is blocked by another stream of ants for considerable duration resulting in disproportionate flow at the intersection. Although the results are preliminary for statistical significance, these can have implications in testing the models of pedestrian crowds and in development of design solutions that enhances crowd safety.
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Still, G. K.: International Crowd Disasters. http://www.safercrowds.com/CrowdDisasters.html, Accessed 2 May, 2012 (2012)
Chertkoff, M.J., Kushigian, H.R.: Don’t Panic: The Psychology of Emergency Egress and Ingress. Praeger Publishers, USA (1999)
Daamen, W., Hoogendoorn, S. P.: Experimental Research on Pedestrian Walking Behaviour. Transportation Research Board annual meeting, Washington DC, 1–16 (2003)
Helbing, D., Buzna, L., Johansson, A., Werner, T.: Self-organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions. Transportation Science 39, 1–24 (2005)
Guo, R.-Y., Wong, S. C., Huanga, H.-J., Zhang, P., Lam, W. H. K.: A microscopic pedestrian-simulation model and its application to intersecting flows. Physica A 389, 515526 (2010)
Asano, M., T. Iryo, T., M. Kuwahara.: Microscopic Pedestrian Simulation Model Combined with a Tactical Model for Route Choice Behaviour. Transportation Research Part C 18(6), 842–855 (2010)
Helbing, D., Molnár, P.: Self-Organization Phenomena in Pedestrian Crowds. In: Schweitzer, F. (ed.) Self-Organization of Complex Structures: From Individual to Collective Dynamics London, pp. 569–577 (1997)
Ando, K., Oto, H., Aoki, T.: Forecasting the flow of People [in Japanese]. Railway Research Review 45 (8), 8–13 (1988)
Hughes, L. R.: The Flow of Human Crowds. Annual Review of Fluid Mechanics 35, 169–182 (2003)
Courtine, G., Schieppati, M.: Human Walking along a Curved Path. I. Body Trajectory, Segment Orientation and the Effect of Vision. European Journal of Neuroscience 18 (1), 177–190 (2003)
Steffen, B., Seyfried, A. : Modelling of Pedestrian Movement Around 90° and 180° Bends. In: . Capote, A., Alvear, D. (eds.) Proceedings of the Advanced Research Workshop -Fire Protection and Life Safety in Buildings and Transportation Systems, pp. 243–253 (2009)
Helbing, D., Farkas, I., Vicsek, T. : Simulating Dynamical Features of Escape Panic. Nature 407, 487–490 (2000)
Shiwakoti, N., Sarvi, M., Rose, G., Burd, M.: Animal Dynamics Based Approach for Modelling Pedestrian Crowd Egress Under Panic Conditions. Transportation Research Part B 45, 1433–1449 (2011)
Couzin, I., Krause, J. : Self-organization and Collective Behavior in Vertebrates. Advances in the Study of Behavior 32, 1–75 (2003)
Burd, M., Shiwakoti, N., Sarvi, M., Rose. G.: Nest Architecture and Traffic Flow: Large Potential Effects from Small Structural Features. Ecological Entomology 35(4), 464–468.
Shiwakoti, N., Sarvi, M., Rose, G., Burd, M.: Enhancing the Safety of Pedestrians During Emergency Egress: Can We Learn from Biological Entities? Transportation Research Record: Journal of the Transportation Research Board 2137, 31–37 (2009)
Hirai, K., Tarui, K.: A Simulation of the Behaviour of a Crowd in Panic. Proceedings of the International Conference on Cybernetics and Society, 409–411 (1975).
Saloma, C., Perez, G. J., Tapang, G., Lim, M., Saloma, C. P.: Self-organized Queuing and Scale-free Behaviour in Real Escape Panic. Proceedings of the National Academy of Sciences 100, 11947–11952 (2003)
Altshuler, E., Ramos, O., Núñez, Y., Fernández, J., Batista-Leyva, A.J., Noda, C.: Symmetry breaking in escaping ants. The American Naturalist 166, 643–649 (2005)
Shiwakoti N., Sarvi, M., Rose, G., Burd, M.: Biologically Inspired Modeling Approach for Collective Pedestrian Dynamics under Emergency Conditions. Transportation Research Record: Journal of the Transportation Research Board 2196, 176–184 (2010)
Jackson, E.D., Holcombe, M., Ratnieks, L. W. F.: Trail Geometry Gives Polarity to Ant Foraging Networks. Nature 432, 907–909 (2004)
Shiwakoti N., Sarvi, M., Rose, G., Burd, M. : Consequence of turning movements during emergency crowd egress. Transportation Research Record: Journal of the Transportation Research Board 2234, 97–104 (2011)
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Shiwakoti, N., Sarvi, M., Dias, C., Burd, M. (2014). Understanding Crowd Panic at Turning and Intersection Through Model Organisms. In: Weidmann, U., Kirsch, U., Schreckenberg, M. (eds) Pedestrian and Evacuation Dynamics 2012. Springer, Cham. https://doi.org/10.1007/978-3-319-02447-9_96
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DOI: https://doi.org/10.1007/978-3-319-02447-9_96
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