Paper
16 February 2023 A study of cascading invulnerability of three major state-owned airlines’ route networks based on a nonlinear load capacity model
Yu Wang, Di Lei, JiaoJiao Yu, GuoBing Wen
Author Affiliations +
Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 125911B (2023) https://doi.org/10.1117/12.2668516
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China
Abstract
In order to investigate the ability of China's state-owned airlines route network in resisting network cascading failure, using load-capacity cascading failure model combined with the method of using TOPSIS-entropy weight comprehensive evaluation method to define the initial load, simulate the network cascading failure process, and study the invulnerability of each airline’s route network and found that: 1). MU airlines have strong cascading invulnerability, CZ is the second and CA airline have the weakest cascading invulnerability, and all of them are more dependent on the headquarters nodes. 2). The more significant the network small-world characteristics and the degree of heterogeneous distribution, the weaker the network cascading invulnerability and the lower the network line cost.
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Yu Wang, Di Lei, JiaoJiao Yu, and GuoBing Wen "A study of cascading invulnerability of three major state-owned airlines’ route networks based on a nonlinear load capacity model", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 125911B (16 February 2023); https://doi.org/10.1117/12.2668516
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KEYWORDS
Networks

Computer simulations

Failure analysis

Data modeling

Eigenvectors

Correlation coefficients

Displays

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