Study of historical evacuation drill data combining regression analysis and dimensionless numbers.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 27 09 2019
accepted: 03 04 2020
entrez: 2 5 2020
pubmed: 2 5 2020
medline: 4 8 2020
Statut: epublish

Résumé

The time needed to evacuate a building depends on many factors. Some are related to people's behavior, while others are related to the physical characteristics of the building. This paper analyzes the historical data of 47 evacuation drills in 15 different university buildings, both academic and residential, involving more than 19 000 persons. We propose the study of the data presented using a dimensionless analysis and statistical regression in order to give a prediction of the ratio between exit time and the number of people evacuated. The results obtained show that this approach could be a useful tool for comparing buildings of this type, and that it represents a promising research topic which can also be extended to other types of buildings.

Identifiants

pubmed: 32357168
doi: 10.1371/journal.pone.0232203
pii: PONE-D-19-25000
pmc: PMC7194357
doi:

Types de publication

Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0232203

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Science. 1974 Sep 27;185(4157):1124-31
pubmed: 17835457

Auteurs

Maria D Miñambres (MD)

Servicio de Prevención de Riesgos Laborales, Universidad de Valladolid, Valladolid, Spain.

Diego R Llanos (DR)

Dpto. de Informática, Universidad de Valladolid, Valladolid, Spain.

Angel M Gento (AM)

Dpto. de Organización de Empresas y Comercialización e Investigación de Mercados, Universidad de Valladolid, Valladolid, Spain.

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Classifications MeSH