Abstract
With the continuous construction and operation of high-speed railway passenger dedicated line, more and more passengers choose high-speed railway. Facing the competition of aviation and highway, how to improve the service capacity and railway revenue under the existing transportation capacity is an important issue for the operation managers. Therefore, combined with the current situation of China’s high-speed railway, this paper analyzes the feasibility and limitations of revenue management theory in high-speed railway, and puts forward a revenue optimization framework based on passenger behavior analysis. Focusing on passenger behavior analysis and revenue optimization, this paper studies the behavior characteristics and market segmentation of high-speed railway passengers from the perspective of passenger behavior analysis, so as to provide scientific and reasonable decision-making reference for railway passenger transport department.
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Acknowledgements
The Scientific Research Fund of the Department of Education of Yunnan Province, The Impact of High-speed Railway (bullet Train) on the Tourism Development of Yunnan Province, (2020J0959).
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Tang, J. (2023). Revenue Optimization of High Speed Railway Based on Passenger Behavior Analysis. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2022. Lecture Notes in Electrical Engineering, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-99-1428-9_174
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DOI: https://doi.org/10.1007/978-981-99-1428-9_174
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