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A Synthetic Model for Multilevel Air Transportation Networks

In: Operations Research Proceedings 2017

Author

Listed:
  • Marzena Fügenschuh

    (Beuth University of Applied Sciences)

  • Ralucca Gera

    (Naval Postgraduate School)

  • Tobias Lory

    (Beuth University of Applied Sciences)

Abstract

Air transportation networks are known to be scale-free and easily modeled using a multiplex structure. Each airline’s network tends to develop independent of the other carriers, based on economic and political factors, influenced by the interaction between them. Creating synthetic models for air transportation networks provides a tool towards creating larger size similar networks, based on the existing structure and development of the network used as the model. We enhance the Barabási-Albert-based BinBall model (Basu, Sundaram, Dippel in IEEE/ACM 25–28, 2015, [9]), by (1) decoupling the scaling factors related to the global and local degree of a new attached node, and (2) a fitted distribution of the edge count per layer. We validate it using the European Air Transportation Network (Cardillo, Gmez-Gardees, Zanin, Romance et al, in Scientific Reports, 2013, [7]), showing that our model outperforms BinBall with respect to the diversity of individual layer structure.

Suggested Citation

  • Marzena Fügenschuh & Ralucca Gera & Tobias Lory, 2018. "A Synthetic Model for Multilevel Air Transportation Networks," Operations Research Proceedings, in: Natalia Kliewer & Jan Fabian Ehmke & Ralf Borndörfer (ed.), Operations Research Proceedings 2017, pages 347-353, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-89920-6_47
    DOI: 10.1007/978-3-319-89920-6_47
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