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Airline revenue management with segmented continuous pricing: methods and competitive effects

Author

Listed:
  • Yanbin Long

    (Massachusetts Institute of Technology)

  • Peter Belobaba

    (Massachusetts Institute of Technology)

Abstract

With the introduction of IATA’s New Distribution Capability (NDC), airlines will no longer be limited to discrete fare classes for their fare product distribution but could show fare quotes from continuous ranges to booking requests. NDC will also allow airlines to present different fare quotes to passengers from different demand segments as identified by the airline. In theory, airlines can better extract passenger willingness to pay, and thus, see gains in revenue, by offering segmented continuous fare quotes to different passengers requesting to book. This paper describes the revenue management (RM) methods for Segmented Continuous Pricing and examines their potential effects on airlines’ revenue through simulations in the Passenger Origin–Destination Simulator (PODS). We describe a class-based algorithm for continuous pricing, a straightforward extension from the traditional methods used with existing RM systems. Our simulation results show that in a calibrated scenario in which only one airline adopts Segmented Continuous Pricing and has an 80% accuracy in identifying business versus leisure passenger booking requests, the first-mover airline can see as much as a 17% revenue gain, at the expense of competitors. The revenue gains come primarily from the leisure passenger segment by offering lower fares than competitors closer to departure. The first-mover airline loses bookings but does not see losses in revenue from the business passenger segment. We also explore potential response strategies by the competing airlines. We discover that competitors can reverse the first-mover’s revenue gain by removing their fare restrictions while still using traditional RM methods. We conclude that although adopting Segmented Continuous Pricing is promising in theory, its gains in practice will depend heavily on the competitive situation and the responses made by competing airlines.

Suggested Citation

  • Yanbin Long & Peter Belobaba, 2024. "Airline revenue management with segmented continuous pricing: methods and competitive effects," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(1), pages 14-27, February.
  • Handle: RePEc:pal:jorapm:v:23:y:2024:i:1:d:10.1057_s41272-023-00462-6
    DOI: 10.1057/s41272-023-00462-6
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    References listed on IDEAS

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    1. Teichert, Thorsten & Shehu, Edlira & von Wartburg, Iwan, 2008. "Customer segmentation revisited: The case of the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 227-242, January.
    2. Melanie Dezelak & Richard Ratliff, 2018. "Towards new industry-standard specifications for air dynamic pricing engines," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(6), pages 394-402, December.
    3. Kuljanin, Jovana & Kalić, Milica, 2015. "Exploring characteristics of passengers using traditional and low-cost airlines: A case study of Belgrade Airport," Journal of Air Transport Management, Elsevier, vol. 46(C), pages 12-18.
    4. Michael D. Wittman & Peter P. Belobaba, 2019. "Dynamic pricing mechanisms for the airline industry: a definitional framework," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 100-106, April.
    5. Bazyli Szymański & Peter P. Belobaba & Alexander Papen, 2021. "Continuous pricing algorithms for airline RM: revenue gains and competitive impacts," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(6), pages 669-688, December.
    6. Michael D. Wittman & Peter P. Belobaba, 2018. "Customized dynamic pricing of airline fare products," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(2), pages 78-90, April.
    7. Chen, Hsi-Tien & Chao, Ching-Cheng, 2015. "Airline choice by passengers from Taiwan and China: A case study of outgoing passengers from Kaohsiung International Airport," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 53-63.
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