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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    Titel :

    Revenue Optimization of High Speed Railway Based on Passenger Behavior Analysis


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Hung, Jason C. (Herausgeber:in) / Yen, Neil Y. (Herausgeber:in) / Chang, Jia-Wei (Herausgeber:in) / Tang, Jiao (Autor:in)

    Kongress:

    International Conference on Frontier Computing ; 2022 ; Shimane, Japan July 12, 2022 - July 15, 2022


    Erschienen in:

    Frontier Computing ; Kapitel : 174 ; 1343-1348


    Erscheinungsdatum :

    24.05.2023


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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