Individual Dynamic Risk Analysis (iDRA): A systematic review and network model development
Individual Dynamic Risk Analysis (iDRA): A systematic review and network model development
Dynamic Risk Analysis (DRA) is a continuous, adaptive process of risk evaluation that can play a fundamental role in the prevention, control and mitigation of new or changing risks in real time. In order to better understand DRA, a systematic review was conducted, followed by thematic analysis and the development of a network model. This model depicts weighted and directional connections to reveal the significance of information and decision making in managing dynamic risk. The research also reveals that people follow rules to a point but will then adapt to meet the challenge of unexpected circumstances. The influence of the environment is also evident, as it cannot only create unique risks but exacerbate existing ones. Throughout the literature there is some debate regarding the use of qualitative and quantitative risk assessment methods in managing dynamic risks. However, when allied with DRA, greater resilience may be added to safety management systems. Considering the factors identified in this research offers a new approach to the problem of managing new or changing risks. What this now means in practical terms is that there is potential to develop a syllabus for DRA training.
Dynamic, accident, operations, risk, safety
Sanderson, Mark Antony
5b343cb7-1263-41cd-8e23-1270962241d6
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Plant, Katherine
3638555a-f2ca-4539-962c-422686518a78
August 2020
Sanderson, Mark Antony
5b343cb7-1263-41cd-8e23-1270962241d6
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Plant, Katherine
3638555a-f2ca-4539-962c-422686518a78
Sanderson, Mark Antony, Stanton, Neville and Plant, Katherine
(2020)
Individual Dynamic Risk Analysis (iDRA): A systematic review and network model development.
Safety Science, 128, [104769].
(doi:10.1016/j.ssci.2020.104769).
Abstract
Dynamic Risk Analysis (DRA) is a continuous, adaptive process of risk evaluation that can play a fundamental role in the prevention, control and mitigation of new or changing risks in real time. In order to better understand DRA, a systematic review was conducted, followed by thematic analysis and the development of a network model. This model depicts weighted and directional connections to reveal the significance of information and decision making in managing dynamic risk. The research also reveals that people follow rules to a point but will then adapt to meet the challenge of unexpected circumstances. The influence of the environment is also evident, as it cannot only create unique risks but exacerbate existing ones. Throughout the literature there is some debate regarding the use of qualitative and quantitative risk assessment methods in managing dynamic risks. However, when allied with DRA, greater resilience may be added to safety management systems. Considering the factors identified in this research offers a new approach to the problem of managing new or changing risks. What this now means in practical terms is that there is potential to develop a syllabus for DRA training.
Text
SAFETY_2019_1902R1-Revised Manuscript [FULL]
More information
Accepted/In Press date: 9 April 2020
e-pub ahead of print date: 1 May 2020
Published date: August 2020
Additional Information:
Funding Information:
This work is funded by the United Kingdom Royal Navy .
Publisher Copyright:
© 2020 Elsevier Ltd
Keywords:
Dynamic, accident, operations, risk, safety
Identifiers
Local EPrints ID: 441741
URI: http://eprints.soton.ac.uk/id/eprint/441741
ISSN: 0925-7535
PURE UUID: bcbd2fd7-b922-4c06-85c8-0d337ca114cc
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Date deposited: 25 Jun 2020 16:45
Last modified: 17 Mar 2024 05:39
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Author:
Mark Antony Sanderson
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