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A crowd route choice evacuation model in large indoor building spaces

Wu, Y; Kang, J; Wang, C; (2018) A crowd route choice evacuation model in large indoor building spaces. Frontiers of Architectural Research , 7 (2) pp. 135-150. 10.1016/j.foar.2018.03.003. Green open access

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Abstract

Route choice is a fundamental requirement in the evacuation process. The aim of this paper is to identify a method to simulate crowds in large indoor spaces with consideration of the acoustic system. This paper first extends an existing cellular automaton model and proposes a cellular automaton crowd route choice model (CACR model) to simulate evacuees in large indoor spaces. It then defines a measure for evaluating the utility of evacuation time using the CACR model under different circumstances, such as a fire situation or different voice warning systems, which other commercial models cannot simulate. The analysis of the characteristics of a sound field in large indoor spaces is based on field measurements. An observation experiment in a gymnasium is employed to test the proposed model in a stadium evacuation scenario. The results demonstrate that the CACR model can accurately simulate the evacuation process in large indoor spaces under various circumstances.

Type: Article
Title: A crowd route choice evacuation model in large indoor building spaces
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.foar.2018.03.003
Publisher version: http://doi.org/10.1016/j.foar.2018.03.003
Language: English
Additional information: Copyright © 2018 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Crowd, Evacuation, Cellular automaton model, Sound, Voice warning system
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10052589
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