Please use this identifier to cite or link to this item:
http://hdl.handle.net/11718/19357
Title: | A logarithmic goal programming approach to develop the utility function for a railway travel |
Authors: | Dutta, Goutam Ghosh, P. Kaul, A.W. |
Keywords: | Choice models;Forecasting;Logarithm goal programming model;Revenue management;Utility function |
Issue Date: | 2015 |
Publisher: | International Journal of Revenue Management |
Abstract: | Railway passengers are in a dilemma to choose the best train among several alternatives available in a particular route. A relative comparison of competing railways helps the passenger to make an informed choice before the actual travel. In this paper we develop a utility model for a railway travel based on the important attributes. We carry out an analysis on the competing railways for a particular route and calculate the utility score of each train route. The passengers benefit as they are aware of the relative ranking of a particular train on a particular route before they make their choice and the railways benefit as they are able to estimate the market share of each service using a multinomial logit choice model. |
URI: | http://hdl.handle.net/11718/19357 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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A logarithemic goal programming approach_ijrm.2015.070001.pdf Restricted Access | 223.99 kB | Adobe PDF | View/Open Request a copy |
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