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Título
Study of historical evacuation drill data combining regression analysis and dimensionless numbers
Año del Documento
2020
Editorial
Public Library of Science
Documento Fuente
Plos one, May 2020, vol. 15, no 5, p. e0232203.
Abstract
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.
Palabras Clave
Regression analysis
Fire research
Forecasting
Statistical data
Time measurement
Revisión por pares
SI
Patrocinador
MDM, DRL, AMG: UNIVERSI/17/VA/1 (PERIL Project, Consejerı´a de Empleo, Junta de Castilla y Leo´n, Spain, www.jcyl.es). MDM, DRL, AMG: INVESTUN-18-VA-0001 (PERIL II Project, Consejerı´a de Empleo, Junta de Castilla y Leo´n, Spain, www.jcyl.es). DRL: MICINN, Spain (PCAS Project, TIN2017-88614-R, www.ciencia.gob.es). DRL: Junta de Castilla y Leon (PROPHET Project, FEDER 13Grant VA082P17, www.jcyl.es).
Version del Editor
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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