Turning Angle Effect on Emergency Egress: Experimental Evidence and Pedestrian Crowd Simulation

Interactions between humans and physical features of the escape area can considerably impede collective movement of panicked crowds. The turning angle is one of the physical features that must be designed carefully as angled or circuitous egress routes such as corridors are unavoidable features of mass gathering places. Previous studies on crowd disasters have highlighted the importance of considering turning movements, particularly under panic situations. However, few qualitative and quantitative studies have addressed this phenomenon. One reason for the limited study might be the lack of empirical data to validate the predictions from mathematical models. In this work, empirical data collected from panicking ants and data from a crowd dynamic simulation model are used to describe how right-angled egress paths work ineffectively compared with straight egress paths during the collective panic egress. Empirical data with panicking ants and simulation results show that right-angled egress paths are more than 20% ineffective compared with straight paths of the same dimensions. That is, right-angled egress paths decrease the flow rate and increase the escape times significantly compared with those of straight egress paths. Results suggest that it is possible to study evacuation strategies and design solutions that can prevent crowd disasters by using empirical data collected from biological entities.

[1]  D. Eilam,et al.  Influence of body morphology on turning behavior in carnivores. , 1994, Journal of motor behavior.

[2]  Nirajan Shiwakoti,et al.  Biologically Inspired Modeling Approach for Collective Pedestrian Dynamics under Emergency Conditions , 2010 .

[3]  Jerome M. Chertkoff,et al.  Don't Panic: The Psychology of Emergency Egress and Ingress , 1999 .

[4]  Majid Sarvi,et al.  Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions , 2011 .

[5]  Nirajan Shiwakoti,et al.  Enhancing the Safety of Pedestrians during Emergency Egress , 2009 .

[6]  Samuel Greengard,et al.  Following the crowd , 2011, Commun. ACM.

[7]  Lubos Buzna,et al.  Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions , 2005, Transp. Sci..

[8]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[9]  Katsuhiro Nishinari,et al.  Modelling of self-driven particles: Foraging ants and pedestrians , 2006 .

[10]  W. Hamilton Geometry for the selfish herd. , 1971, Journal of theoretical biology.

[11]  A. Ōkubo Dynamical aspects of animal grouping: swarms, schools, flocks, and herds. , 1986, Advances in biophysics.

[12]  K. Nishinari,et al.  Introduction of frictional and turning function for pedestrian outflow with an obstacle. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  A. J. Batista-Leyva,et al.  Symmetry Breaking in Escaping Ants , 2005, The American Naturalist.

[14]  D R Carrier,et al.  Influence of rotational inertia on turning performance of theropod dinosaurs: clues from humans with increased rotational inertia. , 2001, The Journal of experimental biology.

[15]  G. Courtine,et al.  Human walking along a curved path. I. Body trajectory, segment orientation and the effect of vision , 2003, The European journal of neuroscience.

[16]  D R Carrier,et al.  Influence of increased rotational inertia on the turning performance of humans. , 2001, The Journal of experimental biology.

[17]  Hubert Klüpfel,et al.  Evacuation Dynamics: Empirical Results, Modeling and Applications , 2009, Encyclopedia of Complexity and Systems Science.

[18]  Nirajan Shiwakoti,et al.  Consequence of Turning Movements in Pedestrian Crowds during Emergency Egress , 2011 .