Abstract
We examine a seat allocation game between two airlines for flights with two fares with dependent random demands. The strategic variable of this game is each airline's booking limit for the low fare. We have shown that there exists an equilibrium booking strategy such that both airlines will protect the same number of seats for the full fare and the total number of seats available for the discount fare under competition is smaller than the total number of seats that would be available if the two airlines collude. A numerical example is used to illustrate the equilibrium solutions and to examine the impact of the capacity shares and the level of dependency between random demands.
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Acknowledgements
Tae H. Oum likes to acknowledge the research grant support from Natural Science and Engineering Research Council (NSERC) of Canada. Michael Li likes to thank Sauder School of Business, University of British Columbia and the School of Hotel Administration, Cornell University for hosting his visits at the end of 2005 and in 2006, respectively, when the part of the work was done. He is grateful to Professors Sheryl Kimes and Tae Oum for their hospitality and support during his visit.
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1 Michael Li is an associate professor at the Nanyang Business School, Nanyang Technological University where he is servicing courses in management science, revenue management and stochastic processes. Revenue Management is one of his main research areas.
2 Tae Oum (E-mail: oum@sauder.ubc.ca) is the UPS Foundation Chair in Transport and Logistics at the Sauder School of Business, The University of British Columbia, and the president of Air Transport Research Society. He is the Editor of the Journal of Transport Economics and Policy.
3 Chris K. Anderson (E-mail: cka9@cornell.edu) is an assistant professor of operations management at the School of Hotel Administration, Cornell University where he teaches and researches revenue management. He has provided revenue management and pricing consulting services across numerous industries including airlines, rental cars, hotels, packaged vacations, consumer packaged goods and financial services.
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Li, M., Oum, T. & Anderson, C. An airline seat allocation game. J Revenue Pricing Manag 6, 321–330 (2007). https://doi.org/10.1057/palgrave.rpm.5160108
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DOI: https://doi.org/10.1057/palgrave.rpm.5160108