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Air itinerary choice in a low-frequency market: A decision rule approach

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  • Nassiri, Habibollah
  • Rezaei, Ali

Abstract

This paper focuses on low frequency airline service patronage using the data from a survey conducted at Imam Khomeini International Airport in Tehran, Iran. It uses Dominance-based Rough Set Approach (DRSA) for modeling passengers’ choices. We compare the method with discrete choice models using a prediction potential measure. Unlike discrete choice methods, it can use qualitative and categorized data without having to transform them into dummy variables. It is found that the prediction accuracy of the proposed technique is better than that of the discrete choice model for the case under consideration.

Suggested Citation

  • Nassiri, Habibollah & Rezaei, Ali, 2012. "Air itinerary choice in a low-frequency market: A decision rule approach," Journal of Air Transport Management, Elsevier, vol. 18(1), pages 34-37.
    • Handle: RePEc:eee:jaitra:v:18:y:2012:i:1:p:34-37
    DOI: 10.1016/j.jairtraman.2011.08.001
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    References listed on IDEAS

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    1. Mason, Keith, 2006. "The value and usage of ticket flexibility for short haul business travellers," Journal of Air Transport Management, Elsevier, vol. 12(2), pages 92-97.
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    Cited by:

    1. Zeigler, Patrick & Pagliari, Romano & Suau-Sanchez, Pere & Malighetti, Paolo & Redondi, Renato, 2017. "Low-cost carrier entry at small European airports: Low-cost carrier effects on network connectivity and self-transfer potential," Journal of Transport Geography, Elsevier, vol. 60(C), pages 68-79.
    2. Mahdiani, Pegah & Ranjbarfard, Mina, 2018. "بررسی کاربردهای داده‌کاوی در مدیریت مشتریان شرکت‌های هواپیمایی [Data mining for managing customers of airline companies]," MPRA Paper 114737, University Library of Munich, Germany.

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