Approximate nucleolus‐based revenue sharing in airline alliances

Approximate nucleolus‐based revenue sharing in airline alliances

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Article ID: iaor20123238
Volume: 220
Issue: 2
Start Page Number: 510
End Page Number: 521
Publication Date: Jul 2012
Journal: European Journal of Operational Research
Authors: ,
Keywords: economics, combinatorial optimization, scheduling, game theory
Abstract:

Alliances allow the airlines to extend their networks and increase the number of destinations they can access. Different from the traditional single airline approach, in an alliance, partner airlines may sell tickets for the same itinerary. In addition, one itinerary may consist of several flight legs, each of which may be operated by a different airline. A major issue that needs to be addressed is how to share the revenue generated from selling a ticket for a product among the individual airlines in a fair way. The fair allocation of the revenue has a critical importance for the long‐term stability of the alliance. We model the problem as a cooperative game and show that the core of the game is non‐empty. We propose to use a revenue proration scheme based on the concept of the nucleolus. The numerical studies reveal that the revenue shares can effectively be computed even for large alliance networks.

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