At present, runway incursions have the greatest impact on runway safety, and it is also the most frequent cause of flight incidents. In order to prevent incidents of runway incursion, and to find the factors that induce these incidents, a Bayesian Network (BN) model is used to explore the relationship and interaction mechanism among those factors that cause runway incursion. It overcomes deficiencies attributed to the limitation of the sample capacity, and reveals the interaction law among human, aircraft, environment and management factors. It will provide a reliable technique to scientifically improve airport safety management, and further reduce accident rates.
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