Herding in Real Escape Panic

C. Saloma and G. J. Perez ()
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C. Saloma: University of the Philippines Diliman, National Institute of Physics
G. J. Perez: University of the Philippines Diliman, National Institute of Physics

A chapter in Pedestrian and Evacuation Dynamics 2005, 2007, pp 471-479 from Springer

Abstract: Abstract We introduce the element of copying in an agent-based model of escape panic to describe with greater accuracy the exit behavior of mice that are escaping from a flooded two-exit chamber. Aside from the panic threshold ϕ (0 ≤ ϕ ≤ 5), our model utilizes the imitation tendency α (0 ≤ α ≤ 1) such that agents with ϕ = 0, are calm and tend to stay put while those that are likely to copy their neighbors are described by large α values. A high degree of copying among escaping agents favors the emergence of herding behavior. Both the Moore and the von Neumann neighborhood are tried to depict the movement of agents in a plane. Herding decreases the exit throughput Q by causing an inefficient utilization of the two available exits for escape. The dependence of Q with α and the exit door separation are highly nonlinear. The inclusion of α has significantly improved the capability of our model to explain the Q-behavior that was observed in the mice experiments. Interestingly, simulation results show that copying could promote faster room evacuation at α ≈ 0.5 and especially at high room occupancy rates (> 60%). At α ≈ 0.5, an agent is equally likely to copy or ignore the action of its neighbor.

Keywords: Mouse Experiment; Evacuation Time; Iteration Period; Room Size; Moore Neighborhood (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-47064-9_45

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DOI: 10.1007/978-3-540-47064-9_45

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