Decline in the use of public transit by commuters have increased the use of private vehicles, causing higher levels of traffic congestion, accidents, etc. The present study aims to identify major latent attributes influencing the behaviour of government employees working in the study area by using an integrated mode choice model. The unobservable attributes that influence mode selection decisions were analysed using the semantic differential technique and a five-point bipolar adjective scale. Conventional mode choice models and latent variable integrated mode choice models were developed for four different modes. Sensitivity analysis was carried out to assess the impact of significant variables which has revealed that 15% decrease in travel time on public transport could lead to a 17% increase in ridership. This study also identified significant variables that influence mode selection decisions and formulated policies to increase the use of public transport in medium-sized cities.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Mode choice modelling of work trips using latent variables for a medium-sized city in India


    Additional title:

    TRANSPORTATION PLANNING AND TECHNOLOGY
    S. SHAHEEM ET AL.


    Contributors:

    Published in:

    Publication date :

    2024-10-02


    Size :

    24 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    The Increasing Role of Latent Variables in Modelling Bicycle Mode Choice

    Muñoz, Begoña / Monzon, Andres / Daziano, Ricardo A. | Taylor & Francis Verlag | 2016


    Mode Choice for School Trips

    Ermagun, Alireza / Rashidi, Taha Hossein / Lari, Zahra Ansari | Transportation Research Record | 2015