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Article

International Airline Alliance Network Design with Uncertainty

1
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2
CMST Nanjing Intelligent Logistics Technology Co., Ltd., Nanjing 211106, China
3
School of Aerospace, Transport and Manufacturing, Cranfield University, Bedfordshire MK43 0RA, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Eyad H. Abed
Appl. Sci. 2021, 11(7), 3065; https://doi.org/10.3390/app11073065
Received: 3 February 2021 / Revised: 17 March 2021 / Accepted: 26 March 2021 / Published: 30 March 2021
(This article belongs to the Special Issue Design of Reliable and Robust Networks)
This paper addresses the alliance route network design problem considering uncertainty in the unit transportation cost. An alliance route network was constructed based on a hub-and-spoke (HS) network, in which airlines could achieve inter-area passenger transport through their international gateways. The design problem was formulated with a robust model containing a set of uncertain cost parameters. The model was established based on a three-subscript model of an HS network. A case study with real-world data was used to test the proposed model. The results showed that this robust solution can reduce the impact of cost uncertainty. View Full-Text
Keywords: alliance route network; network design; hub-and-spoke network; robust model alliance route network; network design; hub-and-spoke network; robust model
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MDPI and ACS Style

Yang, W.; Shao, J.; Jiang, Y.; Xu, Z.; Tsourdos, A. International Airline Alliance Network Design with Uncertainty. Appl. Sci. 2021, 11, 3065. https://doi.org/10.3390/app11073065

AMA Style

Yang W, Shao J, Jiang Y, Xu Z, Tsourdos A. International Airline Alliance Network Design with Uncertainty. Applied Sciences. 2021; 11(7):3065. https://doi.org/10.3390/app11073065

Chicago/Turabian Style

Yang, Wendong, Jiajia Shao, Yun Jiang, Zhengjia Xu, and Antonios Tsourdos. 2021. "International Airline Alliance Network Design with Uncertainty" Applied Sciences 11, no. 7: 3065. https://doi.org/10.3390/app11073065

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