2018
DOI: 10.1088/1757-899x/392/6/062138
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Research on Competitive Ticket Pricing of China’s High Speed Rail——A Case Study of Beijing - Shanghai High - speed Railway

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Cited by 3 publications
(5 citation statements)
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“…In our planning horizon, the maximum number of passengers who want to travel by HSR in each group is listed in Table 5. Evidently, there 9), (21) W j j3 M j j3 R wm j j Constraints (11) 23jKj3 S j j Constraint (13) jKj3( S j j À 1) Constraint (14) 23jKj3 W j j Constraint (15) jKj3 W j j3( W j j À 1) Constraints ( 18) K j j3 W j j3 M j j Constraints ( 10), ( 19), ( 20), ( 25), ( 26) 16), (17) jKj3 W j j Constraints (23) jWj3 M j j3( M j j À 1) Constraints ( 24) W j j3 M j j3 R wm j j3( R wm j jÀ 1) Constraint (12) 1…”
Section: Input Datamentioning
confidence: 99%
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“…In our planning horizon, the maximum number of passengers who want to travel by HSR in each group is listed in Table 5. Evidently, there 9), (21) W j j3 M j j3 R wm j j Constraints (11) 23jKj3 S j j Constraint (13) jKj3( S j j À 1) Constraint (14) 23jKj3 W j j Constraint (15) jKj3 W j j3( W j j À 1) Constraints ( 18) K j j3 W j j3 M j j Constraints ( 10), ( 19), ( 20), ( 25), ( 26) 16), (17) jKj3 W j j Constraints (23) jWj3 M j j3( M j j À 1) Constraints ( 24) W j j3 M j j3 R wm j j3( R wm j jÀ 1) Constraint (12) 1…”
Section: Input Datamentioning
confidence: 99%
“…Owing to the complementary relationship between ticket allocation and ticket pricing, the collaborative optimization of these two problems has attracted the attention of researchers. Hetrakul and Cirillo 13 and Li 15 formulated optimization models for the integrated problem. The objectives were to maximize the total revenue, and the train capacity and passenger choice constraints were considered.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…It means that the expected investment rate ranges from VND 155 billion/km to VND 286 billion/km depending on the terrain conditions of each section [27]. When train speed increases, the construction cost also increases, and the ratio of cost components to total investment can be found in the studies [25,28,29].…”
Section: Total Investment In Rail Infrastructure Developmentmentioning
confidence: 99%
“…Considering the sensitivity of demand to price, Qin et al [29] took elastic passenger flow demand and the optimal ticket price as decision variables and studied the cooperative optimization of railway ticket pricing and allocation; Xu et al [30] considered that the demand was sensitive to the ticket price, and a non-concave and non-linear mixed integer optimization model was then formulated for the ticket-pricing and allocation problem to maximize the railway ticket revenue; Song et al [31] considered the time distribution law of passengers' ticketpurchasing behavior during the pre-sale period and considered the randomness of demand, and then introduced a robust optimization method to solve the model. However, Bo Li [32] and Zhu et al [33] established different joint decision models of dynamic pricing and ticket allocation for the HSR, aiming at solving some problems wherein ticket prices were fixed during the pre-sale period and the revenue could not be increased. Fang et al [34] innovatively took the high-speed freight electric multiple unit train as a research object, applied the revenue management theory to the research of high-speed railway express product under the competitive environment, and proposed a comprehensive decision model based on a sharing rate model.…”
Section: Joint Optimization Of Ticket Allocation and Dynamic Pricingmentioning
confidence: 99%