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Applying complexity science to air traffic management

Author

Listed:
  • Cook, Andrew
  • Blom, Henk A.P.
  • Lillo, Fabrizio
  • Mantegna, Rosario Nunzio
  • Miccichè, Salvatore
  • Rivas, Damián
  • Vázquez, Rafael
  • Zanin, Massimiliano
Abstract
Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of complexity science are introduced and defined, with a specific focus on the application to air traffic management. An overview of complex network theory is presented, with examples of its corresponding metrics and multiple scales. Complexity science is starting to make important contributions to performance assessment and system design: selected, applied air traffic management case studies are explored. The important contexts of uncertainty, resilience and emergent behaviour are discussed, with future research priorities summarised.

Suggested Citation

  • Cook, Andrew & Blom, Henk A.P. & Lillo, Fabrizio & Mantegna, Rosario Nunzio & Miccichè, Salvatore & Rivas, Damián & Vázquez, Rafael & Zanin, Massimiliano, 2015. "Applying complexity science to air traffic management," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 149-158.
    • Handle: RePEc:eee:jaitra:v:42:y:2015:i:c:p:149-158
    DOI: 10.1016/j.jairtraman.2014.09.011
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    Cited by:

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    9. Delgado, Luis & Gurtner, Gérald & Cook, Andrew & Martín, Jorge & Cristóbal, Samuel, 2020. "A multi-layer model for long-term KPI alignment forecasts for the air transportation system," Journal of Air Transport Management, Elsevier, vol. 89(C).
    10. Tianrui Wang & Yu Chen & Leya Zeng, 2022. "Spatial-Temporal Evolution Analysis of Carbon Emissions Embodied in Inter-Provincial Trade in China," IJERPH, MDPI, vol. 19(11), pages 1-26, June.
    11. Wong, Allen & Tan, Sijian & Chandramouleeswaran, Keshav Ram & Tran, Huy T., 2020. "Data-driven analysis of resilience in airline networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    12. Belkoura, Seddik & Cook, Andrew & Peña, José Maria & Zanin, Massimiliano, 2016. "On the multi-dimensionality and sampling of air transport networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 95-109.
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    14. Li, Max Z. & Ryerson, Megan S. & Balakrishnan, Hamsa, 2019. "Topological data analysis for aviation applications," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 149-174.
    15. Ying Jin & Ye Wei & Chunliang Xiu & Wei Song & Kaixian Yang, 2019. "Study on Structural Characteristics of China’s Passenger Airline Network Based on Network Motifs Analysis," Sustainability, MDPI, vol. 11(9), pages 1-15, April.
    16. Mazzarisi, Piero & Zaoli, Silvia & Lillo, Fabrizio & Delgado, Luis & Gurtner, Gérald, 2020. "New centrality and causality metrics assessing air traffic network interactions," Journal of Air Transport Management, Elsevier, vol. 85(C).
    17. Sun, Xiaoqian & Wandelt, Sebastian & Hansen, Mark & Li, Ang, 2017. "Multiple airport regions based on inter-airport temporal distances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 84-98.
    18. Bongiorno, C. & Gurtner, G. & Lillo, F. & Mantegna, R.N. & Miccichè, S., 2017. "Statistical characterization of deviations from planned flight trajectories in air traffic management," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 152-163.
    19. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.
    20. Sun, Long Long & Hu, Ya Peng & Zhu, Chen Ping, 2023. "Scaling invariance in domestic passenger flight delays in the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    21. Fang, Yinhai & Xu, Haiyan & Perc, Matjaž & Tan, Qingmei, 2019. "Dynamic evolution of economic networks under the influence of mergers and divestitures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 89-99.
    22. Rodríguez-Sanz, à lvaro & Comendador, Fernando Gómez & Valdés, Rosa Arnaldo & Pérez-Castán, Javier A., 2018. "Characterization and prediction of the airport operational saturation," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 147-172.

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