A pre-evacuation database for use in egress simulations
Autor: | Steve Gwynne, Erica D. Kuligowski, Ruggiero Lovreglio, KE Boyce |
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Rok vydání: | 2019 |
Předmět: |
040101 forestry
Structure (mathematical logic) Data collection Database Occupancy ComputingMethodologies_SIMULATIONANDMODELING Computer science General Physics and Astronomy 020101 civil engineering 04 agricultural and veterinary sciences 02 engineering and technology General Chemistry computer.software_genre 0201 civil engineering Task (project management) Set (abstract data type) Identification (information) Resource (project management) Work (electrical) 0401 agriculture forestry and fisheries General Materials Science Safety Risk Reliability and Quality computer |
Zdroj: | Fire Safety Journal. 105:107-128 |
ISSN: | 0379-7112 |
Popis: | Quantifying the pre-evacuation time (i.e., the time between first awareness and deliberate evacuation movement), is a key task for evacuation model users and fire safety engineers. The identification and employment of pre-evacuation data given an incident scenario is not a simple task for evacuation model users and fire safety engineers since data is typically scarce, partial and often difficult to access. In this work, we address this issue by presenting an expanded database including pre-evacuation times collected from 9 fire incidents and 103 evacuation drills involving 13,591 evacuees in 16 countries. These case studies are grouped according to the occupancy type of the structure(s) involved. We also used cluster analysis to identify sub-groups and potential factors that influence performance. Using this pre-evacuation data, we calibrate a set of pre-evacuation distributions that can be used to represent pre-evacuation data in existing building evacuation models. This work provides a useful resource for evacuation model users and fire safety engineers and also may provide additional insights to researchers into the factors that influence pre-evacuation times. Finally, this work can have an impact on future data collection and analysis by identifying the need for new data for specific occupancies. |
Databáze: | OpenAIRE |
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