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Study of safety performance indicators and contributory factors aspart of an airline systemic safety risk data model
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Work Science.
School of Psychology, Trinity College Dublin. (Aerospace Psychology Research Group)
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Work Science.ORCID iD: 0000-0002-9709-540X
School of Psychology, Trinity College Dublin. (Aerospace Psychology Research Group)
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2009 (English)In: In proceedings of the IEA 2009, 17th World Congress on Ergonomics, 2009Conference paper, Published paper (Refereed)
Abstract [en]

Every airline would like to anticipate potential risks by allowing the organization to be both predictiveand proactive in its safety work. This is also mandated by regulators, such as ICAO, in the form ofrequirements for a safety management system. In order to successfully achieve this, a systemic view ofhuman factors, risks for both the organization and its operations are required. Relationships betweenincident outcomes and contributory factors needs to be further understood. This would involve theclassification of risk data, contributory factors for risk, data-handling from multiple risk data sourcesand the prudent use of safety performance indicators given the availability of existing tools to date.An earlier study (Rignér et al., 2009) proposed a methodology for airlines to explore ways of betterutilizing data already in their organization by the use of existing tools. This methodology includes thesteps of reviewing risk theory, the scope for human factors related to safety, safety performanceindicators, contributory factors and links between these as well as tools for collecting data. The purposeof this study is to apply, validate and further develop this methodology for airline operators as well asto develop a coherent model of systemic risk data management.One of the key issues here is to define the logic behind data management of existing, current andhistorical data and particularly how data can be combined to provide a prospective view of future risk.Without a clear strategy on how to do this, airlines may lose focus and revert to simply measuring whatis readily available, but potentially less meaningful.Research leading up to this development was performed within the HILAS (Human Integration into theLifecycle of Aviation Systems) project. The work has included field studies, work shops and interviewswith both front-line operators and management personnel within airlines. Information-sharing takesplace within the framework of the HILAS project. This research was conducted by a multidisciplinarygroup of human factors expertise: researchers, pilots, investigators and safety officers in an airline.

Place, publisher, year, edition, pages
2009.
Keyword [en]
Human factors, safety, risk, performance indicators, airline
National Category
Engineering and Technology
Research subject
SRA - Transport
Identifiers
URN: urn:nbn:se:kth:diva-90262OAI: oai:DiVA.org:kth-90262DiVA: diva2:504796
Conference
IEA 2009, 17th World Congress on Ergonomics, Beijing, China, August 9-14, 2009
Projects
HILAS, Human Integration into the Lifecycle of Aviation Systems
Funder
EU, European Research Council, EU FP-6, no. 516181TrenOp, Transport Research Environment with Novel Perspectives
Note
QC 20120417Available from: 2012-02-21 Created: 2012-02-21 Last updated: 2012-04-17Bibliographically approved

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