Deere, Steven ORCID: https://orcid.org/0000-0001-5171-2014, Hui, Xie ORCID: https://orcid.org/0000-0003-1019-2168, Galea, Edwin R. ORCID: https://orcid.org/0000-0002-0001-6665, Cooney, David ORCID: https://orcid.org/0000-0002-2341-0315 and Lawrence, Peter J. ORCID: https://orcid.org/0000-0002-0269-0231 (2020) An evacuation model validation data-set for high-rise construction sites. Fire Safety Journal, 120:103118. ISSN 0379-7112 (Print), 1873-7226 (Online) (doi:10.1016/j.firesaf.2020.103118)

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Abstract

Evacuation of high-rise construction sites is one of the most challenging evacuation scenarios conceivable. Over the past 50 years, very little evacuation research has focused on issues uniquely associated with high-rise construction sites. To address this, FSEG, in collaboration with IOSH and Multiplex, undertook a three-year project to develop an evidence base describing evacuation performance of high-rise construction site workers. This data was used to define a unique evacuation validation data-set for high-rise construction sites. The validation data-set, described in this paper, contains a complete description of the evacuation scenario, including geometry, population, procedures, response times and exit curves. A performance metric is defined which objectively describes the goodness of fit between model predictions and experimental data. Given the level of uncertainty in the validation data-set an objective measure of acceptable agreement between the model prediction and the experimental data is specified for the metric. The level of acceptability is based on the performance of a modified version of buildingEXODUS, which provides a benchmark defining an acceptable level of agreement with the experimental data. The analysis demonstrates that suitably adapted evacuation simulation software can predict the evacuation performance of high-rise construction sites with a reasonable level of accuracy.

Item Type:	Article
Uncontrolled Keywords:	modelling; human behaviour; response times; evacuation; high-rise building; construction sites; validation data-set
Subjects:	S Agriculture > S Agriculture (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Fire Safety Engineering Group (FSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	23 May 2022 10:10
URI:	http://gala.gre.ac.uk/id/eprint/28115

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