In this paper we introduce the fare planning problem for public transport which consists in designing a system of fares maximizing revenue. We propose a new simple general model for this problem. It i s based on a demand function and constraints for the different fares. The constraints define the structure of the fare system, e.g., distance dependent fares or zone fares. We discuss a simple example with a quadratic demand function and distance dependent fares. Then we introduce a more realistic discrete choice model in which passengers choose between different alternatives depending on the numb er of trips per month. We demonstrate the examples by computational experiments.


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    Title :

    Fare planning for public transport



    Published in:

    ZIB-report ; 2005, 20


    Publication date :

    2005


    Size :

    Online-Ressource (17 S., 440,4 KB)


    Remarks:

    Digital preservation by Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek


    Type of media :

    Report


    Type of material :

    Electronic Resource


    Language :

    English



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