考虑收益管理的高铁平行车次动态差别定价

基于RP(Revealed Preference)和SP(Stated Preference)调查数据，利用潜在类别模型对高铁旅客进行细分，得到旅客对平行车次不同服务属性，如列车运行时间、发车时段和舒适度的偏好程度，并对其进行量化；引入收益管理，以多列车整体收益最大为目标，构建平行车次动态差别定价模型，并设计模拟退火算法进行求解；最后，通过京沪高铁进行实例验证.结果表明：与固定票价进行客票销售相比，所提方案能够适应高峰期和平峰期不同客流特点，提高铁路客票总收益，为高铁平行车次灵活定价提供参考.

Dynamic Differential Pricing of High-speed Railway Parallel Trains Considering Revenue Management

Based on the Revealed Preference (RP) and Stated Preference (SP) survey data, this paper used the latent class model to subdivide railway passengers and obtained the passengers' preference for different service attributes of parallel trains such as train running time, departure time and comfort with quantified analysis. Then, a dynamic differential pricing model was presented for parallel trains based on revenue management, which set the goal as maximum total revenue of multiple trains. The simulated annealing algorithm was used to solve the model. The results from Beijing- Shanghai high- speed railway case study show that compared with the existing fixed pricing strategy, the proposed scheme can adapt to different passenger flow characteristics during peak and offpeak periods. It can also improve the total revenue from ticket sales, and provide reference for flexible pricing of high-speed railway parallel trains.