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Author Edem Yao Tsei, David Barry & Duncan Hewat |
| Abstract This study combines Bayesian Network (BN) machine learning tool and HFACS to analyse safety risks related to human and organisational factors in hydrogen (H2) accidents in the H2tools database to deduce lessons for aviation. The study statistically identifies significant causal associations between human risk factors and their effect on H2 accidents. Ultimately, the research contributes to the existing human factors knowledge gap in understanding H2 accident risk factors and develops a model for proactive H2 safety management in the aviation domain. |
