Research on the Optimization Strategy of Intercity Rail Transit Ticket Price Based on BLPP Algorithm
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    Abstract:

    As a key index affecting the market efficiency of transportation, ticket pricing is directly related to the economic benefits of society and enterprises. In order to determine the reasonable ticket price level of intercity rail transit, this paper provides a fare pricing model based on BLPP algorithm. Considering the constraints of government price limit and enterprise cost, the function of upper passenger flow and fare is constructed, and the relationship between fare adjustment and passenger flow is obtained. The model is applied to the intercity rail transit from Hangzhou to Shaoxing. Combined with the passenger flow survey data, the intercity rail transit ticket price is set as a variable, and the optimal ticket price solution is obtained on the premise of maximizing the enterprise benefit. The calculation results show that this pricing strategy can significantly improve the ticket revenue of the operation and management enterprises, and provide a scientific basis for the pricing of intercity rail transit.

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魏薇.基于BLPP算法下的城际轨道交通票价优化策略[J].华东交通大学学报英文版,2020,37(5):89-94.
Wei Wei. Research on the Optimization Strategy of Intercity Rail Transit Ticket Price Based on BLPP Algorithm[J]. JOURNAL OF EAST CHINA JIAOTONG UNIVERSTTY,2020,37(5):89-94

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  • Received:
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  • Online: May 11,2021
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