From an extensive review of literature covering 34 cases where mixed‐mode policies had been used, ranging from strategic area wide to local studies, it was concluded that none of the techniques adopted had adequately dealt with the particular problem of mixed modes.

    Two philosophies were identified, a market research approach and formal simulation modelling. The latter ranged from coarse zonal diversion curve models, to individual based multi modal split models. The limited information given in the reports prevented making practical comparisons between the models.

    Monte‐Carlo simulation was used in order to look in more depth at the multi‐modal choice model structures encountered in the review. It was found that the multi‐nomial logit, which is the most commonly used model, was quite robust but performed badly when modal costs were highly correlated, a case which may occur far too often.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Mixed‐mode travel demand forecasting techniques


    Contributors:

    Published in:

    Publication date :

    1980-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown



    Forecasting Air Travel Demand

    Zheng, Yafei / Lai, Kin / Wang, Shouyang et al. | TIBKAT | 2018


    Travel Demand Forecasting 2009

    Lemp, Jason D | Online Contents | 2009



    Passenger travel demand forecasting

    National Research Council, Transportation Research Board, USA | TIBKAT | 1976


    Travel demand forecasting 2018

    National Research Council, Transportation Research Board, USA | TIBKAT | 2019