Various transportation management methods have been designed to tackle traffic congestion and its side effects, and out of these methods, congestion charging distinguishes itself as quite effective. Although its primary goal is to decrease congestion, another important goal is the internalization of externalities – charging polluters an additional fee for the damage caused by their usage of the car. It has proved its effectiveness in London, Stockholm, Singapore, and other cities, by decreasing congestion and improving the modal split. Although congestion charging usually decreases car trips, some users continue using the car. This paper analyses the impact of congestion charging on these users’ route choices, using PTV Visum. The centerpiece of the paper is the prediction of traffic flow distribution using the TRIBUT Equilibrium-Lohse method in Visum. The specificity of this method, which is comprehensively explained, is that it considers both the time cost and monetary cost of a trip, while using a unique distribution of the value of time. The paper provides examples and a detailed explanation of necessary functions required for an effective estimation in Visum, while highlighting the importance of applying all steps of transportation modelling. It concludes with key findings and recommendations for further research.


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    Titel :

    Estimating the Impact of Congestion Charging on Traffic Flow Distribution Using PTV Visum


    Weitere Titelangaben:

    Lect.Notes Mobility


    Beteiligte:
    McNally, Ciaran (Herausgeber:in) / Carroll, Páraic (Herausgeber:in) / Martinez-Pastor, Beatriz (Herausgeber:in) / Ghosh, Bidisha (Herausgeber:in) / Efthymiou, Marina (Herausgeber:in) / Valantasis-Kanellos, Nikolaos (Herausgeber:in) / Gruhonjić, David (Autor:in) / Mirović, Valentina (Autor:in) / Šoštarić, Marko (Autor:in)

    Kongress:

    Transport Research Arena Conference ; 2024 ; Dublin, Ireland April 15, 2024 - April 18, 2024



    Erscheinungsdatum :

    07.03.2025


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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