铁道运输与经济2025，Vol.47Issue(6)：137-145,161,10.DOI:10.16668/j.cnki.issn.1003-1421.2025.06.14
高速铁路旅游计次票产品定价优化研究
Research on Optimization of Product Pricing for High Speed Railway Travel Prepaid Tickets
摘要
Abstract
This study addressed the insufficient theoretical research and lack of scientific support in pricing mechanisms for new high speed railway travel prepaid tickets by constructing a pricing optimization model.First,the research established a cumulative prospect-regret theory-based(CPT-RT)passenger travel choice model within the road-rail competition market according to the products of travel prepaid tickets,incorporating complexity indicators to reflect product characteristics of travel prepaid tickets.This model was employed to predict market share distribution among different transportation modes.Subsequently,a revenue maximization pricing model for travel prepaid tickets was developed and solved using the particle swarm optimization(PSO)algorithm.Taking the Kunming-Dali-Lijiang travel prepaid ticket as a case study,the pricing optimization model was applied to determine its optimal price.The results show that under the given case scenario and model assumptions,the calculated optimal price for the Kunming-Dali-Lijiang travel prepaid ticket is 373.39 yuan.Based on average passenger flow data of high speed railway markets,the model demonstrates potential to attract 19.91%of road transportation users.The railway sector will achieve a 46.91%increase in overall market share,along with a 31.13%growth in daily revenue and a 46.93%rise in daily passenger flow.关键词
高速铁路/旅游计次票/CPT-RT旅客出行选择模型/定价优化/粒子群算法Key words
High Speed Railway/Travel Prepaid Ticket/CPT-RT Passenger Travel Choice Model/Pricing Optimization/PSO Algorithm分类
交通运输引用本文复制引用
李一萌,单杏花,韩慧婷,王煜,高玲..高速铁路旅游计次票产品定价优化研究[J].铁道运输与经济,2025,47(6):137-145,161,10.基金项目
国家自然科学基金项目(U2468224) （U2468224）
中国国家铁路集团有限公司科技研究开发计划课题(K2023X047) （K2023X047）
