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Network dynamics on the Chinese air transportation multilayer network

Author

Listed:
  • Yong Yang

    (Department of Flight Technology, Civil Aviation Flight University of China, Guanghan 618307, P. R. China)

  • Kai-Jun Xu

    (Department of Flight Technology, Civil Aviation Flight University of China, Guanghan 618307, P. R. China)

  • Chen Hong

    (Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, P. R. China3College of Robotics, Beijing Union University, Beijing 100101, P. R. China)

Abstract

Air transportation networks play important roles in human mobility. In this paper, from the perspective of multilayer network mechanism, the dynamics of the Chinese air transportation network are extensively investigated. A multilayer-based passengers re-scheduling model is introduced, and a multilayer cooperation (MC) approach is proposed to improve the efficiency of network traffic under random failures. We use two metrics: the success rate and the extra transfer number, to evaluate the efficiency of re-scheduling. It is found that a higher success rate of passengers re-scheduling can be obtained by MC, and MC is stronger for resisting the instability of the capacity of links. Furthermore, the explosion of the number of extra transfer can be well restrained by MC. Our work will highlight a better understanding of the dynamics and robustness of the Chinese air transportation network.

Suggested Citation

  • Yong Yang & Kai-Jun Xu & Chen Hong, 2021. "Network dynamics on the Chinese air transportation multilayer network," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 32(05), pages 1-14, May.
    • Handle: RePEc:wsi:ijmpcx:v:32:y:2021:i:05:n:s0129183121500704
    DOI: 10.1142/S0129183121500704
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    Cited by:

    1. Faxu Li & Hui Xu & Liang Wei & Defang Wang, 2023. "RETRACTED ARTICLE: Identifying vital nodes in hypernetwork based on local centrality," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-13, January.

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