An evacuation model validation data-set for high-rise construction sites. (March 2021)
- Record Type:
- Journal Article
- Title:
- An evacuation model validation data-set for high-rise construction sites. (March 2021)
- Main Title:
- An evacuation model validation data-set for high-rise construction sites
- Authors:
- Deere, Steven
Xie, Hui
Galea, Edwin R.
Cooney, David
Lawrence, Peter J. - Abstract:
- 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. Highlights: A unique high-rise construction site evacuationAbstract: 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. Highlights: A unique high-rise construction site evacuation validation data-set is presented. A metric is presented to measure performance of evacuation simulation software. The data-set and metric are used to assess the performance of buildingEXODUS. … (more)
- Is Part Of:
- Fire safety journal. Volume 120(2021)
- Journal:
- Fire safety journal
- Issue:
- Volume 120(2021)
- Issue Display:
- Volume 120, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 120
- Issue:
- 2021
- Issue Sort Value:
- 2021-0120-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03
- Subjects:
- Modelling -- Human behaviour -- Response times -- Evacuation -- High-rise building -- Construction sites -- Validation data-set
Fire prevention -- Periodicals
Incendies -- Prévention -- Recherche -- Périodiques
Fire prevention -- Research
Periodicals
628.92205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03797112 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.firesaf.2020.103118 ↗
- Languages:
- English
- ISSNs:
- 0379-7112
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3933.285000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23267.xml