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| Resilience Measurement and Analysis of Aviation Multi-Layer Network |
| WANG Xinglong, LIU Yang
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| College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China |
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Abstract In order to ensure the safety of aviation system operations and improve the performance of aviation network system under failure, an aviation multi-layer network model was established, which used resilience fragility and resilience recovery to define resilience, using structural entropy, network structure resilience recovery and network traffic resilience recovery to measure the resilience of aviation multi-layer network under failure conditions. Taking North China region of civil aviation as an example, an empirical analysis is carried out to study the degree of recovery of network structure and the change of network flight flow loss under different recovery ratios of nodes. The results show that the aviation multi-layer network can better describe the coupling relationship between aviation systems, the network resilience is mainly affected by the airport network and the control sector network; the airport is the largest resilience recovery node; the greater the recovery rate of the network node, the better the performance of the network structure, the less the flight flow loss, and the better the network resilience.
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Published: 24 June 2020
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