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
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

42-50

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

No conflicts of interests.

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Auteurs

Gregor Molan (G)

Comtrade, Letališka Cesta 29, Ljubljana, Slovenia.

Marija Molan (M)

University Medical Centre Ljubljana, Institute of Occupational, Traffic and Sports Medicine, Poljanski Nasip 58, Ljubljana, Slovenia.

Classifications MeSH