Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5110524 | Transportation Research Part E: Logistics and Transportation Review | 2016 | 18 Pages |
Abstract
We study the seat allocation problem for passenger rail revenue management, in which a rail operator attempts to determine the optimal quantity of seats to be allocated to each cabin class for each train service. We formulate the problem with single-stage and multi-stage decisions as two stochastic programming models that incorporate passengers' choice behavior. We transform the stochastic models into equivalent deterministic mathematical programs that are easy to solve. Then, we form a variety of seat allocation polices from the optimal solutions to the seat allocation models. A number of simulation tests are offered to test the policies.
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Authors
Xinchang Wang, Hua Wang, Xiaoning Zhang,