2013
DOI: 10.4028/www.scientific.net/amr.756-759.3074
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Human Factor Analysis Model of Civil Aviation Incidents Based on Bayesian Network

Abstract: To generate a model which can provides detailed data analysis supportive in aviation incident analysis, a human factor analysis model based on Bayesian network theory is established. This model is a Bayesian network which uses three layers nodes to represent causality between human factors and incidents. The specific impact degree of human factors on aviation incidents is represented by conditional probability parameters of the model. The model structure, constructed by combing hill-climbing search method with… Show more

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Cited by 3 publications
(1 citation statement)
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“…This model is based on the PEAR model, but with an additional element -time, as it is critical to also consider how time impacts an operation and the human factors associated therewith (Yang & Fan, 2016). Further, Zhang, Wang, Luo, & Tang (2013) created a statistical model based on Bayesian network theory to represent causality via conditional probability of the impact of human factors on civil aviation incidents.…”
Section: Human Factors In Aviationmentioning
confidence: 99%
“…This model is based on the PEAR model, but with an additional element -time, as it is critical to also consider how time impacts an operation and the human factors associated therewith (Yang & Fan, 2016). Further, Zhang, Wang, Luo, & Tang (2013) created a statistical model based on Bayesian network theory to represent causality via conditional probability of the impact of human factors on civil aviation incidents.…”
Section: Human Factors In Aviationmentioning
confidence: 99%