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Network Measures in Civil Air Transport: A Case Study of Lufthansa


  • Aura Reggiani

    (University of Bologna, Italy)

  • Sara Signoretti

    (University of Bologna, Italy)

  • Peter Nijkamp

    (VU University Amsterdam)

  • Alessandro Cento

    (KLM Royal Dutch Airlines, Milan Italy)


Air transport networks have exhibited a trend towards complex dynamics in recent years. Using Lufthansa’s networks as an example, this paper aims to illustrate the relevance of various network indicators – such as connectivity and concentration – for the empirical analysis of airline network configurations. The results highlight the actual strategic choices made by Lufthansa for its own net-work, as well in combination with its partners in Star Alliance.

Suggested Citation

  • Aura Reggiani & Sara Signoretti & Peter Nijkamp & Alessandro Cento, 2009. "Network Measures in Civil Air Transport: A Case Study of Lufthansa," Tinbergen Institute Discussion Papers 09-048/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20090048

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    References listed on IDEAS

    1. Aisling J. Reynolds-Feighan, 2000. "Air transport," Open Access publications 10197/121, School of Economics, University College Dublin.
    2. Aisling J. Reynolds-Feighan, 1993. "EC and US air freight markets : network organisation in a deregulated environment," Working Papers 199312, School of Economics, University College Dublin.
    3. Laura A. Schintler & Sean P. Gorman & Aura Reggiani & Roberto Patuelli & Andy Gillespie & Peter Nijkamp & Jonathan Rutherford, 2004. "Complex Network Phenomena in Telecommunication Systems," Tinbergen Institute Discussion Papers 04-118/3, Tinbergen Institute.
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    Cited by:

    1. López, Fernando A. & Páez, Antonio & Carrasco, Juan A. & Ruminot, Natalia A., 2017. "Vulnerability of nodes under controlled network topology and flow autocorrelation conditions," Journal of Transport Geography, Elsevier, vol. 59(C), pages 77-87.
    2. Wang, Jiaoe & Mo, Huihui & Wang, Fahui & Jin, Fengjun, 2011. "Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach," Journal of Transport Geography, Elsevier, vol. 19(4), pages 712-721.
    3. 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.
    4. Wang, Jiaoe & Mo, Huihui & Wang, Fahui, 2014. "Evolution of air transport network of China 1930–2012," Journal of Transport Geography, Elsevier, vol. 40(C), pages 145-158.
    5. Hossain, Md. Murad & Alam, Sameer, 2017. "A complex network approach towards modeling and analysis of the Australian Airport Network," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 1-9.
    6. Lordan, Oriol & Sallan, Jose M. & Simo, Pep, 2014. "Study of the topology and robustness of airline route networks from the complex network approach: a survey and research agenda," Journal of Transport Geography, Elsevier, vol. 37(C), pages 112-120.

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    air transport; complex networks; connectivity; concentration; Lufthansa;

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