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An efficient airline seat reallocation algorithm considering customer dissatisfaction

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  • Ko, Young Dae
  • Kwag, Sung Il
  • Oh, Yonghui
Abstract
Nowadays, many airlines tend to provide an advance seat selection service to maximize customer satisfaction to secure market shares in the competitive air transport market. However, the preassigned seat configuration of certain flight legs can be changed often due to aircraft changes for certain reasons, such as maintenance and reservation rates. Then certain customer's seat features, such as row location, position of aisle/window, relative location, and position with the same group member can be different before/after the change, and it can lead to huge customer dissatisfaction. Therefore, an efficient airline seat reallocation algorithm to minimize customer dissatisfaction is introduced in this study, which is based on mathematical model-based optimization with several types of objective functions that reflect customer dissatisfaction levels. A numerical example is performed to validate the developed airline seat reallocation algorithm, and an additional analysis is also executed to derive important insight.

Suggested Citation

  • Ko, Young Dae & Kwag, Sung Il & Oh, Yonghui, 2020. "An efficient airline seat reallocation algorithm considering customer dissatisfaction," Journal of Air Transport Management, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:jaitra:v:85:y:2020:i:c:s0969699719305368
    DOI: 10.1016/j.jairtraman.2020.101792
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    References listed on IDEAS

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    Cited by:

    1. Ren, Xinhui & Pan, Na & Jiang, Hong, 2022. "Differentiated pricing for airline ancillary services considering passenger choice behavior heterogeneity and willingness to pay," Transport Policy, Elsevier, vol. 126(C), pages 292-305.
    2. Zhang, Le & Duan, Peng & Jiang, Hai, 2024. "Modeling joint row- and column-wise correlation in air passenger seat selection: A cross-nested logit approach," Journal of Air Transport Management, Elsevier, vol. 114(C).

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