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A destination selection model for long haul routes – The case of Taiwan-US

Author

Listed:
  • Chang, Yu-Chun
  • Woon, Hui Kee
  • Yen, Jin-Ru
  • Hsu, Chia-Jui

Abstract

This research utilizes multi-objective programming to build a long haul route selection model in order to find the most efficient and the best flight routes between Taiwan and the US. The results show that three potential routes, Boston, Dallas and Washington, should be added to the airlines’ service destinations. In addition, if Chinese passengers are allowed to transfer to the US via Taiwan, then Newark, Atlanta, Chicago and Detroit should be included as additional potential routes for carriers. Therefore, this research encourages airlines to add these specific new routes to increase the air connectivity of Taiwan Taoyuan Airport.

Suggested Citation

  • Chang, Yu-Chun & Woon, Hui Kee & Yen, Jin-Ru & Hsu, Chia-Jui, 2017. "A destination selection model for long haul routes – The case of Taiwan-US," Journal of Air Transport Management, Elsevier, vol. 64(PA), pages 60-67.
    • Handle: RePEc:eee:jaitra:v:64:y:2017:i:pa:p:60-67
    DOI: 10.1016/j.jairtraman.2017.06.026
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    References listed on IDEAS

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    Cited by:

    1. Chang, Yu-Chun & Lee, Wei-Hao & Wu, Chi-Hung, 2019. "Airline new route selection using compromise programming - The case of Taiwan-Europe," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 10-20.
    2. Chang, Yu-Chun & Lee, Wei-Hao & Hsu, Chia-Jui, 2020. "Identifying competitive position for ten Asian aviation hubs," Transport Policy, Elsevier, vol. 87(C), pages 51-66.
    3. Bauer, Linus Benjamin & Bloch, Daniel & Merkert, Rico, 2020. "Ultra Long-Haul: An emerging business model accelerated by COVID-19," Journal of Air Transport Management, Elsevier, vol. 89(C).

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    Keywords

    Air connectivity; Route; Airport; Hub;
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