A model of competitive airline revenue management interactions
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In this article we develop a model of the interactions between the revenue management (RM) practices of competing airlines. The theoretical model is supported by PODS simulation results that highlight the important role of passenger spill between airlines on RM seat allocations in competitive markets. We show that typical RM system forecasters that unconstrain historical bookings without accounting for competitive RM effects result in a double-counting of demand. Under current practice, the RM systems of airlines in oligopoly markets thus tend to generate higher forecasts, higher protection levels and, consequently, lower discount fare booking limits than equivalent monopolies.
Keywordsairline revenue management competition monopoly oligopoly PODS
- Belobaba, P. (1992) Optimal vs. heuristic methods for nested seat allocations. In: Proceedings of AGIFORS Reservations and Yield Management Study Group, Brussels, Belgium, pp. 28–53.Google Scholar
- Belobaba, P. and Hopperstad, C. (2004) Algorithms for revenue management in unrestricted fare markets. Presented at the Meeting of the INFORMS Section on Revenue Management, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
- Darot, J. (2001) Revenue management for airline alliances: Passenger origin destination simulation analysis. SM thesis, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
- d'Huart, O. (2010) A competitive approach to airline revenue management. SM thesis, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
- d'Huart, O. and Belobaba, P. (2009) Impacts of matching competitor RM seat availability. AGIFORS Revenue Management and Cargo Annual Conference Presentation, Amsterdam, the Netherlands.Google Scholar
- Ferea, J. (1996) Revenue management impacts of multi-hub codeshare alliances. SM thesis, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
- Hopperstad Consulting. (2005) Passenger O/D Simulator PODS v. 10 Technical Specifications.Google Scholar
- Ja, S., Rao, B.V. and Chandler, S. (2001) Passenger recapture estimation in airline RM. AGIFORS 41st Annual Symposium, Sydney, Australia, August 2001, Presentation, AGIFORS, http://www.agifors.org.
- Karjalainen, R. (1992) The newsboy game. Wharton School, University of Pennsylvania. Working paper.Google Scholar
- Littlewood, K. (1972) Forecasting and Control of Passenger Bookings. Proceedings of the Twelfth Annual AGIFORS Symposium, Nathanya, Israel, pp 95–117.Google Scholar
- Lua, W.F. (2007) Matching of lowest fare seat availability in airline revenue management systems. MSc thesis, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
- Wilson, J. (1995) The value of revenue management innovation in a competitive airline industry. SM thesis, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar