Parking measures are typical for cities that aim to improve the liveability in terms of air quality, noise, congestion and space. The strategic transport models, used to determine the effects of (policy) measures, do not incorporate the effect of parking behaviour during the trip. The behaviour of parking the car near the destination, and walking the last bit, is not yet modelled in these models. In order to incorporate this behaviour in the static traffic assignment, a methodology is developed. The methodology is twofold. First, the parking capacities, i.e. the number of available parking spaces per destination zone are determined using spatial data. Second, these parking capacities are used in the traffic assignment, which uses parking and walking links. In this way, the extra search time for a parking space is modelled, as well as the diverting behaviour when (almost) all parking spaces are occupied. Simulations for a use case in Amsterdam show that the diverting behaviour is modelled and show possible effects of parking policies, for instance on the amount of car traffic in the city.


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    Titel :

    Parking in Macroscopic Transport Models: Modelling Parking Capacities in Traffic Assignment


    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) / Spruijtenburg, Dawn (Autor:in) / Walraven, Erwin (Autor:in) / Sterkenburg, Reinier (Autor:in) / van der Tuin, Marieke (Autor:in)

    Kongress:

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



    Erscheinungsdatum :

    07.03.2025


    Format / Umfang :

    15 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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