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Complexity theory in accident causation - Using AcciMap to identify the systems thinking tenets in 11 catastrophes734.28 kB
Accepted VersionCC BY-NC-ND V4.0, Open Access
Journal article
Complexity theory in accident causation: Using AcciMap to identify the systems thinking tenets in 11 catastrophes
Ergonomics, Vol.64(7), pp.821-838
2021
PMID: 33357083
Abstract
The quest to explain and understand the cause of accidents is both ever-present and ongoing amongst the safety science community. In an attempt to advance the theory and science of accident causation, researchers have recently formalised a set of '15 systems thinking tenets' that cover the conditions and characteristics of work systems that are believed to contribute to the cause of accidents. The purpose of this study was to attempt to identify the systems thinking tenets across a range of different systems and accidents using the Accident Mapping (AcciMap) method. The findings suggest that the tenets can be attributed to play a role in accident causation, however as a result of this process, the capability of AcciMap has been brought into question. Implications and directions for future research are described.
Details
- Title
- Complexity theory in accident causation: Using AcciMap to identify the systems thinking tenets in 11 catastrophes
- Authors
- Adam Hulme (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems ScienceNeville A Stanton (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems ScienceGuy H Walker (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems SciencePatrick Waterson (Author) - Loughborough UniversityPaul M Salmon (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems Science
- Publication details
- Ergonomics, Vol.64(7), pp.821-838
- Publisher
- Taylor & Francis
- Date published
- 2021
- DOI
- 10.1080/00140139.2020.1869321
- ISSN
- 1366-5847; 0014-0139
- PMID
- 33357083
- Organisation Unit
- Centre for Human Factors and Systems Science; School of Law and Society
- Language
- English
- Record Identifier
- 99498107702621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Engineering, Industrial
- Ergonomics
- Psychology
- Psychology, Applied
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