Transactions of Nanjing University of Aeronautics & Astronautics
Aviation Accident Causation Analysis Based on Complex Network Theory
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Abstract:
Accident causation analysis is of great importance for accident prevention. In order to improve the aviation safety， a new analysis method of aviation accident causation based on complex network theory is proposed in this paper. Through selecting 257 accident investigation reports， 45 causative factors and nine accident types are obtained by the three-level coding process of the grounded theory， and the interaction of these factors is analyzed based on the “2-4” model. Accordingly， the aviation accident causation network is constructed based on complex network theory which has scale-free characteristics and small-world properties， the characteristics of causative factors are analyzed by the topology of the network， and the key causative factors of the accidents are identified by the technique for order of preference by similarity to ideal solution （TOPSIS） method. The comparison results show that the method proposed in this paper has the advantages of independent of expert experience， quantitative analysis of accident causative factors and statistical analysis of a lot of accident data， and it has better applicability and advancement.
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Project Supported:
This work was supported by the Civil Aviation Joint Fund of National Natural Science Foundation of China （No.U1533112）.
Clc Number:
X951
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