Seat inventory control methods for Chinese passenger railways
来源期刊：中南大学学报(英文版)2014年第4期
论文作者：BAO Yun(包云) LIU Jun(刘军) MA Min-shu(马敏书) MENG Ling-yun(孟令云)
文章页码：1672 - 1682
Key words：seat inventory control; Chinese passenger railway; revenue management; booking limits; bid-price
Abstract: Railway seat inventory control strategies play a crucial role in the growth of profit and train load factor. The railway passenger seat inventory control problem in China was addressed. Chinese passenger railway operation features and seat inventory control practice were analyzed firstly. A dynamic demand forecasting method was introduced to forecast the coming demand in a ticket booking period. By clustering, passengers’ historical ticket bookings were used to forecast the demand to come in a ticket booking period with least squares support vector machine. Three seat inventory control methods: non-nested booking limits, nested booking limits and bid-price control, were modeled under a single-fare class. Different seat inventory control methods were compared with the same demand based on ticket booking data of Train T15 from Beijing West to Guangzhou. The result shows that the dynamic non-nested booking limits control method performs the best, which gives railway operators evidence to adjust the remaining capacity in a ticket booking period.
BAO Yun(包云)1, LIU Jun(刘军)2, MA Min-shu(马敏书)2, MENG Ling-yun(孟令云)1
(1. State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University), Beijing 100044, China;
2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China)
Abstract:Railway seat inventory control strategies play a crucial role in the growth of profit and train load factor. The railway passenger seat inventory control problem in China was addressed. Chinese passenger railway operation features and seat inventory control practice were analyzed firstly. A dynamic demand forecasting method was introduced to forecast the coming demand in a ticket booking period. By clustering, passengers’ historical ticket bookings were used to forecast the demand to come in a ticket booking period with least squares support vector machine. Three seat inventory control methods: non-nested booking limits, nested booking limits and bid-price control, were modeled under a single-fare class. Different seat inventory control methods were compared with the same demand based on ticket booking data of Train T15 from Beijing West to Guangzhou. The result shows that the dynamic non-nested booking limits control method performs the best, which gives railway operators evidence to adjust the remaining capacity in a ticket booking period.
Key words:seat inventory control; Chinese passenger railway; revenue management; booking limits; bid-price
