Prediction and Mitigation of Crush Conditions in Emergency Evacuations

Harding, Peter J., Amos, Martyn and Gwynne, Steve (2010) Prediction and Mitigation of Crush Conditions in Emergency Evacuations. In: PED 2008 - 4th International Conference on Pedestrian and Evacuation Dynamics, June 2008, Wuppertal, Germany.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1007/978-3-642-04504-2_18

Abstract

Several simulation environments exist for the simulation of large-scale evacuations of buildings, ships, or other enclosed spaces. These offer sophisticated tools for the study of human behaviour, the recreation of environmental factors such as fire or smoke, and the inclusion of architectural or structural features, such as elevators, pillars and exits. Although such simulation environments can provide insights into crowd behaviour, they lack the ability to examine potentially dangerous forces building up within a crowd. These are commonly referred to as crush conditions, and are a common cause of death in emergency evacuations.

In this paper, we describe a methodology for the prediction and mitigation of crush conditions. The paper is organised as follows. We first establish the need for such a model, defining the main factors that lead to crush conditions, and describing several exemplar case studies. We then examine current methods for studying crush, and describe their limitations. From this, we develop a three-stage hybrid approach, using a combination of techniques. We conclude with a brief discussion of the potential benefits of our approach.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Simulation Environment, International Maritime Organisation, Evacuation Plan, Crowd Behaviour, Emergency Evacuation
Subjects: K900 Others in Architecture, Building and Planning
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 16 May 2019 16:02
Last Modified: 10 Oct 2019 18:48
URI: http://nrl.northumbria.ac.uk/id/eprint/39333

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