Abstract Using two independent data sets, alternative binary station choice models were successfully calibrated and tested. The regression and probit models are based on a two stage decision process: first the commuter selects his mode of travel, and then, given the use of rapid transit, he chooses a station. The station choice models focus on the second stage of the decision process. The models estimate the relative frequency a station will be selected by commuters from a Census block group, given a modal choice of rapid transit. This proportion is a function of the trip cost difference between that station and the next least cost station.


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    Title :

    Binary station choice models for a rail rapid transit line


    Contributors:

    Publication date :

    1973-10-09


    Size :

    11 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Rail Transit: The People's Choice

    British Library Online Contents | 1997



    Rail transit: The peope's choice

    Flem, Lloyd / Schiermeyer, Carl | IuD Bahn | 1997