Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/27824
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dc.contributor.authorSingh, Kartikeya-
dc.contributor.authorDhake, Pushkaraj-
dc.contributor.authorNarayanaswami, Sundaravalli-
dc.date.accessioned2025-05-30T04:16:40Z-
dc.date.available2025-05-30T04:16:40Z-
dc.date.issued2023-11-23-
dc.identifier.urihttp://hdl.handle.net/11718/27824-
dc.descriptionThe Indian Railways has adopted a dynamic pricing mechanism for its premium trains like Shatabdi, Rajdhani, and Duronto. This led to an increase in its revenue but also a fall in passenger traffic. In this paper, we have analyzed the existing dynamic pricing model. A major flaw in the existing system is that the present system is only a fare hike system rather than a dynamic pricing system as there is no provision for a decrease in prices when the demand is low. Considering this, we have developed a new model that incorporates both inter-temporal pricing and demand-based pricing to come up with the dynamic fares along with the provision of having a downside in case of low demand. We developed a route selection criteria based on the key parameters identified by us where dynamic pricing would yield good results. The model was then tested on these routes using real-time data to determine the feasibility of the dynamic pricing system.en_US
dc.description.abstractThe Indian Railways has adopted a dynamic pricing mechanism for its premium trains like Shatabdi, Rajdhani, and Duronto. This led to an increase in its revenue but also a fall in passenger traffic. In this paper, we have analyzed the existing dynamic pricing model. A major flaw in the existing system is that the present system is only a fare hike system rather than a dynamic pricing system as there is no provision for a decrease in prices when the demand is low. Considering this, we have developed a new model that incorporates both inter-temporal pricing and demand-based pricing to come up with the dynamic fares along with the provision of having a downside in case of low demand. We developed a route selection criteria based on the key parameters identified by us where dynamic pricing would yield good results. The model was then tested on these routes using real-time data to determine the feasibility of the dynamic pricing system.en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofJournal of Revenue and Pricing Managementen_US
dc.subjectDynamic Networksen_US
dc.subjectMicroeconomicsen_US
dc.subjectRail Vehiclesen_US
dc.subjectQueueing Theoryen_US
dc.subjectTaxation Policyen_US
dc.subjectTransportation Economicsen_US
dc.titleA dynamic pricing strategy model for Indian Railwaysen_US
dc.typeArticleen_US
dc.identifier.doihttps://link.springer.com/article/10.1057/s41272-023-00450-wen_US
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