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A heuristic for incorporating ancillaries into air choice models with personalization (part 2: integrated multinomial logit and hedonic regression models)

Author

Listed:
  • Michal Sznajder

    (Sabre Research)

  • Richard Ratliff

    (Sabre Research)

  • Cuneyd Kaya

    (Sabre Research)

Abstract

In recent years, airlines have begun selling “branded fares” which are bundles of a travel “right-to-fly” plus assorted amenities (e.g., first bag included, extra legroom, priority boarding, extra loyalty miles, etc.). Branded fares allow airlines to further differentiate their products and have proven popular with customers. Logit-based discrete choice models are used in a variety of air travel decision support applications; a widely used one is online share estimation of itinerary/fare results returned from air shopping low fare search. However, the explanatory features considered in previous air choice models in use at Sabre were limited to price and itinerary schedule attributes only; they did not consider the value-added utility of the new amenities included in airline branded fares. This paper is the second of a two-part series about incorporating ancillaries into air choice models. In Part 2, the authors describe an approach for integrating multinomial logit and hedonic regression models by customer segment (allowing consideration of the value-added utility derived from bundling ancillary amenities in airline branded fares). When applied to shopping results that include branded fares, we show how this new approach leads to 25% improvements in air choice model prediction accuracy (compared to using price and schedule only features). We will also present a new choice-model accuracy metric (TOPN%) that allows comparison of results across samples with different assortment sizes.

Suggested Citation

  • Michal Sznajder & Richard Ratliff & Cuneyd Kaya, 2023. "A heuristic for incorporating ancillaries into air choice models with personalization (part 2: integrated multinomial logit and hedonic regression models)," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(2), pages 140-151, April.
    • Handle: RePEc:pal:jorapm:v:22:y:2023:i:2:d:10.1057_s41272-022-00400-y
    DOI: 10.1057/s41272-022-00400-y
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    References listed on IDEAS

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    1. Diana, Tony, 2010. "`Discrete Choice Modelling and Air Travel Demand: Theory and Applications` by Laurie A. Garrow," Journal of Airport Management, Henry Stewart Publications, vol. 5(1), pages 88-89, September.
    2. Warnock-Smith, David & O'Connell, John F. & Maleki, Mahnaz, 2017. "An analysis of ongoing trends in airline ancillary revenues," Journal of Air Transport Management, Elsevier, vol. 64(PA), pages 42-54.
    3. Ben Vinod & Richard Ratliff & Vikram Jayaram, 2018. "An approach to offer management: maximizing sales with fare products and ancillaries," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(2), pages 91-101, April.
    4. Octavian Oancea, 2021. "The implications of behavioural economics for pricing in a world of offer optimisation," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(6), pages 626-633, December.
    5. Rodrigo Acuna-Agost & Eoin Thomas & Alix Lhéritier, 2021. "Price elasticity estimation for deep learning-based choice models: an application to air itinerary choices," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 213-226, June.
    6. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
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