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A systematic comparison of model predictions produced by the buildingExodus evacuation model and the Tsukuba Pavilion evacuation data

A systematic comparison of model predictions produced by the buildingExodus evacuation model and the Tsukuba Pavilion evacuation data

Gwynne, S., Galea, E.R. ORCID: 0000-0002-0001-6665, Lawrence, P.J. ORCID: 0000-0002-0269-0231, Owen, M. and Filippidis, L. (1998) A systematic comparison of model predictions produced by the buildingExodus evacuation model and the Tsukuba Pavilion evacuation data. Journal of Applied Fire Science, 7 (3). pp. 235-266. ISSN 1044-4300 (Print), 1541-4183 (Online) (doi:10.2190/6W20-VM9D-Y3F2-QGHE)

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Abstract

In this article, the buildingEXODUS (V1.1) evacuation model is described and discussed and attempts at qualitative and quantitative model validation are presented. The data set used for the validation is the Tsukuba pavilion evacuation data. This data set is of particular interest as the evacuation was influenced by external conditions, namely inclement weather. As part of the validation exercise, the sensitivity of the buildingEXODUS predictions to a range of variables and conditions is examined, including: exit flow capacity, occupant response times, and the impact of external conditions on the developing evacuation. The buildingEXODUS evacuation model was found to produce good qualitative and quantitative agreement with the experimental data.

Item Type: Article
Additional Information: [1] CMS REF. No: 98/33
Uncontrolled Keywords: buildingExodus, evacuation modelling, Tsukuba Pavilion, evacuation data, predictions
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 08:59
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/131

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