IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20110111.html
   My bibliography  Save this paper

Connectivity and Concentration in Airline Networks: A Complexity Analysis of Lufthansa's Network

Author

Listed:
  • Aura Reggiani

    (University of Bologna, Italy)

  • Peter Nijkamp

    (VU University Amsterdam)

  • Alessandro Cento

    (KLM Royal Dutch Airlines, Milan, Italy)

Abstract

Information, communication and transport networks have always been in a state of flux, while they also influence each other. Extensive research efforts have been made to investigate the dynamics in the structure and use of networks, e.g., by means of network geometries, small-world effects and scale-free phenomena. We will illustrate these new developments on the basis of airline network evolution. The present paper provides a new contribution to the analysis of topological properties of complex airline networks. Using Lufthansa's networks as an example, this paper aims to show the empirical relevance of various network indicators - such as connectivity and concentration - for understanding changing patterns in airline network configurations. After an extensive discussion of various statistical results, a decision-aid method, viz. multi-criteria analysis, is used to investigate the robustness of our findings. The results highlight the actual strategic choices made by Lufthansa for its own network, as well in combination with its partners in Star Alliance.

Suggested Citation

  • Aura Reggiani & Peter Nijkamp & Alessandro Cento, 2011. "Connectivity and Concentration in Airline Networks: A Complexity Analysis of Lufthansa's Network," Tinbergen Institute Discussion Papers 11-111/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20110111
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/11111.pdf
    Download Restriction: no

    More about this item

    Keywords

    airline networks; complexity; connectivity; concentration; degree distribution; network geometry; multicriteria analysis;

    JEL classification:

    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tin:wpaper:20110111. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tinbergen Office +31 (0)10-4088900). General contact details of provider: http://edirc.repec.org/data/tinbenl.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.