Mental causal models of incidents communicated in licensee event reports in a process industry
(2003) In Cognition, Technology & Work 5(3). p.211-217- Abstract
- The present investigation describes some mental causal models used in incident reports. Some of the models (e.g., single-cause models) are simpler than others (e.g., causal-tree models). The models are also associated with different ways of explaining an incident or accident and with different recommendations for increasing the safety of a system.
In study 1, incident reports from Swedish nuclear power plants known to use human or organisational factors were analysed. The analysis showed that the most frequent model was a simple single-cause model and that the remainder were usually two-step models leading to a reported event. Multiple cause and more complex models were less frequent.
Study 2 analysed all licensee event... (More) - The present investigation describes some mental causal models used in incident reports. Some of the models (e.g., single-cause models) are simpler than others (e.g., causal-tree models). The models are also associated with different ways of explaining an incident or accident and with different recommendations for increasing the safety of a system.
In study 1, incident reports from Swedish nuclear power plants known to use human or organisational factors were analysed. The analysis showed that the most frequent model was a simple single-cause model and that the remainder were usually two-step models leading to a reported event. Multiple cause and more complex models were less frequent.
Study 2 analysed all licensee event reports (including those reports not related to human organisational factors) from four reactors assessed by regulators during the year. The results showed that single-cause and two-step accident models were more frequent than more complex models. The analyses also revealed that different detection modes were related to different models. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/806320
- author
- Salo, Ilkka LU and Svenson, O
- organization
- publishing date
- 2003
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Accident, Incident, Nuclear power, Process industry, Risk analysis
- in
- Cognition, Technology & Work
- volume
- 5
- issue
- 3
- pages
- 211 - 217
- publisher
- Springer
- ISSN
- 1435-5566
- DOI
- 10.1007/s10111-003-0121-3
- language
- English
- LU publication?
- yes
- id
- 8512ded1-c69a-4761-8062-ae1a9ca1fece (old id 806320)
- date added to LUP
- 2016-04-04 07:16:07
- date last changed
- 2018-11-21 20:48:18
@article{8512ded1-c69a-4761-8062-ae1a9ca1fece, abstract = {{The present investigation describes some mental causal models used in incident reports. Some of the models (e.g., single-cause models) are simpler than others (e.g., causal-tree models). The models are also associated with different ways of explaining an incident or accident and with different recommendations for increasing the safety of a system.<br/><br> In study 1, incident reports from Swedish nuclear power plants known to use human or organisational factors were analysed. The analysis showed that the most frequent model was a simple single-cause model and that the remainder were usually two-step models leading to a reported event. Multiple cause and more complex models were less frequent. <br/><br> Study 2 analysed all licensee event reports (including those reports not related to human organisational factors) from four reactors assessed by regulators during the year. The results showed that single-cause and two-step accident models were more frequent than more complex models. The analyses also revealed that different detection modes were related to different models.}}, author = {{Salo, Ilkka and Svenson, O}}, issn = {{1435-5566}}, keywords = {{Accident; Incident; Nuclear power; Process industry; Risk analysis}}, language = {{eng}}, number = {{3}}, pages = {{211--217}}, publisher = {{Springer}}, series = {{Cognition, Technology & Work}}, title = {{Mental causal models of incidents communicated in licensee event reports in a process industry}}, url = {{http://dx.doi.org/10.1007/s10111-003-0121-3}}, doi = {{10.1007/s10111-003-0121-3}}, volume = {{5}}, year = {{2003}}, }