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The net benefit of airline overbooking

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  • Suzuki, Yoshinori

Abstract

Benefits of airline overbooking are often measured by considering only the revenue gains attained for overbooked (congested) flights, and ignoring the potential loss of revenues that may take place in other (un-congested) flights (i.e., the "gross" benefit). This study explores the "net" benefit of overbooking by considering revenue implications of overbooking on both congested and un-congested flights. A series of simulation experiments are conducted to investigate the nature of the relationship between the gross and net benefits. The results imply that the net benefit may be substantially lower than the gross benefit under many practical conditions.

Suggested Citation

  • Suzuki, Yoshinori, 2006. "The net benefit of airline overbooking," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(1), pages 1-19, January.
    • Handle: RePEc:eee:transe:v:42:y:2006:i:1:p:1-19
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    Citations

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    Cited by:

    1. Dalalah, Doraid & Ojiako, Udechukwu & Chipulu, Maxwell, 2020. "Voluntary overbooking in commercial airline reservations," Journal of Air Transport Management, Elsevier, vol. 86(C).
    2. Ma, Jie & Tse, Ying Kei & Wang, Xiaojun & Zhang, Minhao, 2019. "Examining customer perception and behaviour through social media research – An empirical study of the United Airlines overbooking crisis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 192-205.
    3. Wang, Xiaojia & Fung, Richard Y.K., 2014. "An option-based hedging mechanism for managing the risk of overbooking in parallel airline alliances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 146-162.
    4. Chen, Lijian, 2020. "Determine the cost of denying boarding to passengers: An optimization-based approach," International Journal of Production Economics, Elsevier, vol. 220(C).
    5. Fukui, Hideki & Nagata, Koki, 2020. "How do passengers react to airlines’ overbooking strategies? Evidence from the US airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 242-255.
    6. Naragain Phumchusri & Phatsakorn Sangsukiam & Nannapat Chariyasethapong, 2020. "Optimal overbooking model for car rental business with two levels of prices having stochastic joint booking and show-up levels," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(3), pages 190-209, June.
    7. Bharill, Rohit & Rangaraj, Narayan, 2008. "Revenue management in railway operations: A study of the Rajdhani Express, Indian Railways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1195-1207, November.
    8. Costantino, Francesco & Di Gravio, Giulio & Tronci, Massimo, 2013. "Return on quality: Simulating customer retention in a flight firming project," Journal of Air Transport Management, Elsevier, vol. 27(C), pages 20-24.
    9. Alavi Fard, Farzad & Sy, Malick & Ivanov, Dmitry, 2019. "Optimal overbooking strategies in the airlines using dynamic programming approach in continuous time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 384-399.

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