Study On Railway Revenue Management Model And Its Application In Passenger Transportation

Research and implementation of railway passenger revenue management is theurgent needs of the railway passenger transportation sector and it is alsothe focus problem in rail information research. Especially with the high speedpassenger railway construction and put into operation,under the conditionsof the fixed passenger capacities, how to obtain a low marginal cost of highpassenger revenue, becomes an important issue for passenger transportmanagement and the researchers in the railway technology research. With thesuccessful applications of the web site12306-booking, telephone-booking, andwith the railway customer service center in using, and with the implementationfor railway passengers in convenience, the booking system has accumulatedrelative abundance of production data, so it becomes feasible for the studyabout rail passenger revenue management. In this thesis, with the China railwaytransportation as the research background, and with the revenue managementideas and methods as this research starting point, combining with railwaypassenger management features, this thesis make a systematic study of therailway passenger revenue management.Firstly, this thesis analyze the current situation of domestic andinternational rail passenger revenue management，and make a comprehensiveexposition of the theory of revenue management and the methods and models aboutairline revenue management，then we look at differences and similaritiesbetween rail and airline in passenger transport fields and analyze thepossibility to implement the revenue management in railway. This thesispresents that rail passenger revenue management system needs to realize theconnotation of "income" and "traffic" win-win, then based on dual operationalrequirements of the planned economy and market economy in railway market，this paper presents the structures and compositions of rail passenger revenuemanagement system.Secondly, under the guidance of the architecture of railway passenger revenue management system, this paper makes the emphases on studying themethods how to analyze rail passenger behavior and how to forecast thepassenger-flow. We apply the cluster-analysis methods on analyzing thepassenger behavior such as in passenger partitions, in production selectionsand in booking channel selections and etc. This paper gives the novelfour-factors seasonal-fluctuations prediction model in passenger trafficforecast which is adept in short-term, dynamic forecast in the railway. thepractical application proved the usefulness of the model.Thirdly, around the railway passenger revenue management system, thispaper focus on the study about the methods and models in the railway ticketorganizational strategy, overbooking strategy, corporate control strategy andrail price control strategy. And then this paper presents the novel Chineserevenue management strategy set: the ticket section-control strategy, the seatallotment algorithm, the ticket-sharing strategy, the seat-reuse strategy,the coexistence overbooking control and management strategy, the groupmanagement strategy, the price control strategy.Finally, this paper gives a comprehensive exposition about the railwaypassenger revenue management support systems and platforms, and presents thefunction framework based on revenue management in railway passenger marketingdecision support system, and carried the idea farther to design the businessprocesses, data warehouse and implementation of process.