Highlights We study a stochastic seat allocation problem for passenger rail revenue management with discrete random demands. We develop two stochastic programming models to formulate the problem. We construct a variety of seat allocation policies. We test the policies using simulation studies.

    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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    Title :

    Stochastic seat allocation models for passenger rail transportation under customer choice


    Contributors:


    Publication date :

    2016-10-10


    Size :

    18 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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