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An analysis of human behaviour during aircraft evacuation situations using the AASK v3.0 database

Published online by Cambridge University Press:  04 July 2016

E. R. Galea,
K. M. Finney,
A. J. P. Dixon,
A. Siddiqui and
D. P. Cooney
E. R. Galea
Affiliation:
Fire Safety Engineering Group, University of Greenwich, London, UK
K. M. Finney
Affiliation:
Fire Safety Engineering Group, University of Greenwich, London, UK
A. J. P. Dixon
Affiliation:
Fire Safety Engineering Group, University of Greenwich, London, UK
A. Siddiqui
Affiliation:
Fire Safety Engineering Group, University of Greenwich, London, UK
D. P. Cooney
Affiliation:
Fire Safety Engineering Group, University of Greenwich, London, UK
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Abstract

The Aircraft Accident Statistics and Knowledge (AASK) database is a repository of survivor accounts from aviation accidents. Its main purpose is to store observational and anecdotal data from the actual interviews of the occupants involved in aircraft accidents. The database has wide application to aviation safety analysis, being a source of factual data regarding the evacuation process. It is also key to the development of aircraft evacuation models such as airEXODUS, where insight into how people actually behave during evacuation from survivable aircraft crashes is required. This paper describes recent developments with the database leading to the development of AASK v3.0. These include significantly increasing the number of passenger accounts in the database, the introduction of cabin crew accounts, the introduction of fatality information, improved functionality through the seat plan viewer utility and improved ease of access to the database via the internet. In addition, the paper demonstrates the use of the database by investigating a number of important issues associated with aircraft evacuation. These include issues associated with social bonding and evacuation, the relationship between the number of crew and evacuation efficiency, frequency of exit/slide failures in accidents and exploring possible relationships between seating location and chances of survival. Finally, the passenger behavioural trends described in analysis undertaken with the earlier database are confirmed with the wider data set.

Information

Type
Research Article
Information
The Aeronautical Journal , Volume 107 , Issue 1070 , April 2003, pp. 219 - 231
Copyright
Copyright © Royal Aeronautical Society 2003 

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