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An aircraft accident database of human experience in evacuation derived from aviation accident reports

An aircraft accident database of human experience in evacuation derived from aviation accident reports

Owen, M., Galea, E.R., Lawrence, P.J. and Filippidis, L. (1999) An aircraft accident database of human experience in evacuation derived from aviation accident reports. Fire and Materials, 23 (6). pp. 363-368. ISSN 0308-0501 (doi:10.1002/(SICI)1099-1018(199911/12)23:6<363::AID-FAM712>3.0.CO;2-D)

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Abstract

Computer based mathematical models describing the aircraft evacuation process have a vital role to play in aviation safety. However, such models have a heavy dependency on real evacuation data. The Fire Safety Engineering Group of the University of Greenwich is undertaking a large data extraction exercise in order to address this issue. This paper describes the extraction and application of data from aviation accident reports. To aid in the storage and analysis of the raw data, a computer database known as AASK (Aircraft Accident Statistics and Knowledge) is under development. AASK is being developed to store human observational and anecdotal data contained in accident reports and interview transcripts. AASK currently contains information from 25 survivable aviation accidents covering the period 04/04/77 to 06/08/95, involving some 2415 passengers, 2210 survivors, 205 fatalities and accounts from 669 people. Copyright © 1999 John Wiley & Sons, Ltd.

Item Type: Article
Additional Information: [1] In Fire and Materials, Volume 23, Issue 6, November/December 1999 - Special Issue: Human Behaviour in Fire.
Uncontrolled Keywords: AASK (Aircraft Accident Statistics and Knowledge), aircraft accident, database, human experience in evacuation, aviation accident reports
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 08:59
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/223

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