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 opera...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.展开更多
The dynamic joint pricing and seat inventory control is more practical but complicated in both formulation and solving.This paper presents a three-stage decision approach(TSDA)to attack this problem.In the first stage...The dynamic joint pricing and seat inventory control is more practical but complicated in both formulation and solving.This paper presents a three-stage decision approach(TSDA)to attack this problem.In the first stage,the relationship between dynamic prices and their pre-sale periods is built.The game process between passengers and the airline based on maximisation of both passenger utility and airline’s network revenue is applied.Passenger’s booking and cancellation processes are simulated according to respective distributions.In the second stage,the seat allocation model for different itineraries is built based on presented unified prices.It greatly decreases computation complexity since prices,itinerary legs and pre-sale time periods are excluded from combination.In the third stage,itinerary-based revenue management model is built with embedding the nested control strategy inside.Meanwhile,some practical factors such as cancellation and no-show are considered.The experimental computation results show TSDA is effective.展开更多
基金Project(2009BAG12A10)supported by the State Technical Support Program of ChinaProject(71201009)supported by National Natural Science Foundation of ChinaProject(RCS2009ZT009)supported by the State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,China
文摘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.
基金This workwas supported by Shanghai Philosophy and Social Science Planning Project[Grant number 2020EGL014].
文摘The dynamic joint pricing and seat inventory control is more practical but complicated in both formulation and solving.This paper presents a three-stage decision approach(TSDA)to attack this problem.In the first stage,the relationship between dynamic prices and their pre-sale periods is built.The game process between passengers and the airline based on maximisation of both passenger utility and airline’s network revenue is applied.Passenger’s booking and cancellation processes are simulated according to respective distributions.In the second stage,the seat allocation model for different itineraries is built based on presented unified prices.It greatly decreases computation complexity since prices,itinerary legs and pre-sale time periods are excluded from combination.In the third stage,itinerary-based revenue management model is built with embedding the nested control strategy inside.Meanwhile,some practical factors such as cancellation and no-show are considered.The experimental computation results show TSDA is effective.
