Journal article
Simplifying safety standards: Using work domain analysis to guide regulatory restructure
Safety Science, Vol.138, pp.1-12
2021
Abstract
This article describes a study in which a popular systems analysis method was used to inform the design of a safety standard. Specifically, Work Domain Analysis was used to analyze and reorganise the structure of a safety standard for organisations providing adventure activities in Australia. Work Domain Analysis allowed for the identification of system objects, processes, functions, measures, and purposes, revealing limitations in the capacity of the proposed structure to achieve the safety standard’s intended purposes. Limitations included a high number of compliance requirements, a confusion between mandatory and optional requirements, a lack of educational support material, and no reliable means to measure system performance. The analysis was used to design an “ideal” structure for the safety standard. Key recommendations of the ideal structure were accepted for implementation, while others were not. The potential for future applications of Work Domain Analysis for regulatory system evaluation, reform, and design are discussed.
Details
- Title
- Simplifying safety standards: Using work domain analysis to guide regulatory restructure
- Authors
- Tony Carden (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems ScienceNatassia Goode (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems SciencePaul Salmon (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems Science
- Publication details
- Safety Science, Vol.138, pp.1-12
- Publisher
- Elsevier BV
- Date published
- 2021
- DOI
- 10.1016/j.ssci.2020.105096
- ISSN
- 0925-7535
- Grants
- Organisation Unit
- Centre for Human Factors and Systems Science; School of Law and Society
- Language
- English
- Record Identifier
- 99489207602621
- Output Type
- Journal article
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- Web Of Science research areas
- Engineering, Industrial
- Operations Research & Management Science