Open Access
Issue
SHS Web Conf.
Volume 225, 2025
2025 3rd International Conference on Financial Management and the Digital Economy (ICFMDE 2025)
Article Number 01006
Number of page(s) 8
Section Digital Economics & Behavior
DOI https://doi.org/10.1051/shsconf/202522501006
Published online 13 November 2025
  1. P. Berobaba, et al., Global aviation industry (Second Edition). Shanghai Jiao Tong University Press (2018) [Google Scholar]
  2. Y. Liu, Problems and countermeasures facing revenue management of Chinese aviation enterprises. Invest. Entrepr. 34(11), 148-150 (2023) [Google Scholar]
  3. G. Bitran, R. Caldentey, Commissioned paper: an overview of pricing models for revenue management. Manuf. Serv. Oper. Manag., 5(3), 203-229 (2003) [Google Scholar]
  4. Z.J.M. Shen, X.M. Su, Customer behaviour modeling in revenue management and auctions: a review and new research opportunities. Prod. Oper. Manag., 16(6), 713-728 (2007) [Google Scholar]
  5. X. Zhu, Q. Zhao, X. Chen, et al., A study on dynamic pricing of flights based on reinforcement learning. Aviat. Comput. Techn. 55(02), 1-5 (2025) [Google Scholar]
  6. L. Chen, Research on demand forecasting and dynamic pricing for flight revenue management, Ph.D. thesis, University of Chinese Academy of Sciences, College of Engineering Sciences (2024). [Google Scholar]
  7. K. Yang, Y. Jing, J. Liu, et al., A study on dynamic pricing of air-rail intermodal transport based on revenue management. Railw. Transp. Econ. 46(10), 178-185+193 (2024). [Google Scholar]
  8. R.H. Cheng, Research on dynamic pricing model of airline passenger transport based on stock change, Ph.D. thesis, Chang’an University (2021). [Google Scholar]
  9. X. Fu, An introduction to the application of artificial intelligence and machine learning in airline revenue management. ATB (01), 61-64 (2025) [Google Scholar]
  10. Z. Ma, Dynamic pricing practices in China’s civil aviation industry, Ph.D. thesis, Xiamen University (2021). [Google Scholar]

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