IDEAS home Printed from
   My bibliography  Save this paper

Performance evaluation of Tour de France cycling teams using Data Envelopment Analysis


  • Rogge, Nicky

    () (Hogeschool-Universiteit Brussel (HUB))

  • Van Reeth, Daam

    () (Hogeschool-Universiteit Brussel (HUB))

  • Van Puyenbroeck, Tom

    () (Hogeschool-Universiteit Brussel (HUB), KULeuven)


This paper uses a robust (order-m) Data Envelopment Analysis approach to evaluate the efficiency of Tour de France cycling teams for the period 2007- 2011. Since there are multiple ways in which this event can be successful for a cycling team, we take it that managers face strategic input decisions regarding team and rider characteristics. Specifically, we distinguish between ranking teams, sprint teams, and mixed teams, and compute for each of these an efficiency score as due to the team’s performance relative to similarly classified teams and an efficiency score that is the consequence of the team type. We find that ranking teams are generally more efficient than other types.

Suggested Citation

  • Rogge, Nicky & Van Reeth, Daam & Van Puyenbroeck, Tom, 2012. "Performance evaluation of Tour de France cycling teams using Data Envelopment Analysis," Working Papers 2012/12, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
  • Handle: RePEc:hub:wpecon:201212

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. ReVelle, C.S. & Eiselt, H.A. & Daskin, M.S., 2008. "A bibliography for some fundamental problem categories in discrete location science," European Journal of Operational Research, Elsevier, vol. 184(3), pages 817-848, February.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Data Envelopment Analysis; Tour de France; Cycling; Team Types; Performance Evaluation; Robust order-m;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:hub:wpecon:201212. 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: (Sabine Janssens). General contact details of provider: .

    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.