Theoretical Model for Accident Prevention Based on Root Cause Analysis With Graph Theory.
Accident preventions
Behavior
Graph partition
Root cause analysis
Safety
Journal
Safety and health at work
ISSN: 2093-7911
Titre abrégé: Saf Health Work
Pays: Korea (South)
ID NLM: 101542940
Informations de publication
Date de publication:
Mar 2021
Mar 2021
Historique:
received:
21
02
2020
revised:
25
07
2020
accepted:
06
09
2020
entrez:
18
3
2021
pubmed:
19
3
2021
medline:
19
3
2021
Statut:
ppublish
Résumé
Despite huge investments in new technology and transportation infrastructure, terrible accidents still remain a reality of traffic. Severe traffic accidents were analyzed from four prevailing modes of today's transportations: sea, air, railway, and road. Main root causes of all four accidents were defined with implementation of the approach, based on Flanagan's critical incident technique. In accordance with Molan's Availability Humanization model (AH model), possible preventive or humanization interventions were defined with the focus on technology, environment, organization, and human factors. According to our analyses, there are significant similarities between accidents. Root causes of accidents, human behavioral patterns, and possible humanization measures were presented with rooted graphs. It is possible to create a generalized model graph, which is similar to rooted graphs, for identification of possible humanization measures, intended to prevent similar accidents in the future. Majority of proposed humanization interventions are focused on organization. Organizational interventions are effective in assurance of adequate and safe behavior. Formalization of root cause analysis with rooted graphs in a model offers possibility for implementation of presented methods in analysis of particular events. Implementation of proposed humanization measures in a particular analyzed situation is the basis for creation of safety culture.
Identifiants
pubmed: 33732528
doi: 10.1016/j.shaw.2020.09.004
pii: S2093-7911(20)30333-4
pmc: PMC7940444
doi:
Types de publication
Journal Article
Langues
eng
Pagination
42-50Informations de copyright
© 2020 The Authors.
Déclaration de conflit d'intérêts
No conflicts of interests.
Références
Risk Anal. 2015 Jul;35(7):1230-51
pubmed: 25873355
Disaster Health. 2016 Dec 6;3(4):112-120
pubmed: 28265487
Risk Anal. 2006 Oct;26(5):1175-85
pubmed: 17054524
Prof Saf. 2009 Dec;54(12):34-41
pubmed: 21694753
Psychol Bull. 1954 Jul;51(4):327-58
pubmed: 13177800