Abstract Method This paper endeavors to introduce a new approach to modal split estimation. In the frame of the research, a customized model of the recently created Best-Worst Method (BWM) is applied to evaluate mode choice alternatives by transport experts. The integrated BWM model is tested on a real-world case study in Budapest, the capital of Hungary, where a small number of selected experts estimate the modal split of three different groups clustered based on the distance of their commuting. Results The results clearly demonstrate the popularity of public transport among all groups, while car is estimated to be used primarily by short- and mid-distance commuters. The coherence of the responses is tested along with sensitivity analysis and rank correlation comparison. Moreover, the final results are compared to the official modal split data of the city. Recommendations Based on the findings, it can be concluded that the application of BWM results in competitive accuracy compared to the mainstream methodologies, moreover BWM needs significantly less cost and time effort during the survey procedure.


    Access

    Download


    Export, share and cite



    Title :

    Estimating commuting modal split by using the Best-Worst Method


    Contributors:


    Publication date :

    2021




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Estimating commuting modal split by using the Best-Worst Method

    Duleba, Szabolcs / Moslem, Sarbast / Esztergár-Kiss, Domokos | Springer Verlag | 2021

    Free access

    MODAL SPLIT ANALYSIS BY BEST-WORST METHOD AND MULTINOMINAL LOGIT MODEL

    Michal CINGEL / Marek DRLICIAK / Jan CELKO et al. | DOAJ | 2023

    Free access



    Excess commuting and modal choice

    Murphy, Enda | Online Contents | 2009