This paper describes a destination choice model estimated for Chicago, Illinois, with the use of a recent survey and a previously developed model of activity planning decision timing. The travel survey data are used to estimate a standard multinomial destination choice model and a model in which the choice set is constrained by what has already been planned in the schedule. The performance of each model is evaluated, as is the effect that using the planning-constrained model in place of the standard model has on the accuracy of the results. Using a model in which the destination choices are conditioned on what has been previously planned improves the accuracy. This improvement is true for correctly predicted location choices, especially for overall trip length distributions in which more realistic distributions are observed when decisions are constrained.


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    Title :

    Planning-Constrained Destination Choice in Activity-Based Model


    Subtitle :

    Agent-Based Dynamic Activity Planning and Travel Scheduling


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2011-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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