Abstract:

In order to improve the safety level of China Civil Aviation, a cause analysis method, which focused on the whole process of 'taxiing-takeoff-climbing-cruising-falling-approaching and landing', was proposed based on association rules and SNA. Firstly, a total of 1 051 civil aviation accident cases from 2010 to 2022 were collected from Aviation Safety Information System. Then, a civil aviation accident causation index system based on 'human-machine-environment-management' was established in combination with 'control navigation service procedure-training'. Secondly, the EasyData data service platform was used for annotation, followed by constructing the data-set of the cause of civil aviation accidents facing the whole process of flight. Furthermore, the FP-Growth algorithm was employed to mine the association rules with the flight phase as the subsequent term of rules. Finally, this study emphasized the co-occurrence frequency of association rules, and developed the correlation network of civil aviation accident causes by applying the centrality analysis of flight phase and accident causes. The results show that the most dangerous phases of flight are the approach and landing. Operation failures, runway safe accidents and cabin safe accidents are the main types. Among the 10 identified causes of civil aviation accidents, there are 4 human factors, 2 facilities and equipment factors, 3 environmental factors and 1 management factor.

Key words: whole flight process, civil aviation accidents, cause of accident, correlation network, social network analysis(SNA)