Skip navigation

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

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

Galea, E.R, Finney, K.M., Dixon, A.J.P., Siddiqui, A. ORCID: 0000-0003-1090-871X and Cooney, D.P. (2003) An analysis of human behaviour during aircraft evacuation situations using the AASK v3.0 database. The Aeronautical Journal, 107 (1070). pp. 219-231. ISSN 0001-9240

Full text not available from this repository.

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.

Item Type: Article
Uncontrolled Keywords: accident prevention, aircraft emergency exits, aircraft seats, behavioral research, cabins (aircraft), crashworthiness, database systems, aircraft evacuation models, aircraft accidents
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics > QA76 Computer software
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 Computer Science
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/637

Actions (login required)

View Item View Item