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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Singh, Kartikeya | - |
dc.contributor.author | Dhake, Pushkaraj | - |
dc.contributor.author | Narayanaswami, Sundaravalli | - |
dc.date.accessioned | 2025-05-30T04:16:40Z | - |
dc.date.available | 2025-05-30T04:16:40Z | - |
dc.date.issued | 2023-11-23 | - |
dc.identifier.uri | http://hdl.handle.net/11718/27824 | - |
dc.description | The 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.abstract | The 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.iso | en | en_US |
dc.publisher | Springer Nature | en_US |
dc.relation.ispartof | Journal of Revenue and Pricing Management | en_US |
dc.subject | Dynamic Networks | en_US |
dc.subject | Microeconomics | en_US |
dc.subject | Rail Vehicles | en_US |
dc.subject | Queueing Theory | en_US |
dc.subject | Taxation Policy | en_US |
dc.subject | Transportation Economics | en_US |
dc.title | A dynamic pricing strategy model for Indian Railways | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://link.springer.com/article/10.1057/s41272-023-00450-w | en_US |
Appears in Collections: | Journal Articles |
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