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Zero displacement cost model: a simplified RM model for post-COVID-19 O&D management

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  • Landie Qiu

Abstract

In the airline industry, the aim of O&D RM is to optimize network revenue by increasing seat availability for high-revenue connecting passengers while preventing connecting passengers from displacing high-yield local passengers to reduce displacement costs. Traditional O&D models rely heavily on complex historical data analysis. The outbreak of COVID-19 has led to an unprecedented disruption of the global airline industry. It has reset historical data, thereby reducing the reliability of the traditional forecasting and optimization results. This paper proposes Zero Displacement Cost (0DC) model as a simplified and flexible model for airlines to manage O&D in the post-COVID-19 world.

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  • Landie Qiu, 2021. "Zero displacement cost model: a simplified RM model for post-COVID-19 O&D management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(1), pages 21-32, February.
    • Handle: RePEc:pal:jorapm:v:20:y:2021:i:1:d:10.1057_s41272-020-00260-4
    DOI: 10.1057/s41272-020-00260-4
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    References listed on IDEAS

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    1. Sumala Tirumalachetty & Vamsidhar Kodam & Goda Doreswamy & Mukund Shankar, 2017. "Unlocking the value from origin and destination revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(6), pages 607-620, December.
    2. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    3. Dimitris Bertsimas & Sanne de Boer, 2005. "Simulation-Based Booking Limits for Airline Revenue Management," Operations Research, INFORMS, vol. 53(1), pages 90-106, February.
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    Cited by:

    1. Morlotti, Chiara & Redondi, Renato, 2023. "The impact of COVID-19 on airlines’ price curves," Journal of Air Transport Management, Elsevier, vol. 107(C).

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