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Comparison of two dynamic transportation models: The case of Stockholm congestion charging

Author

Listed:
  • Leonid Engelson

    (Trasnport and Location Analysis - KTH - KTH Royal Institute of Technology [Stockholm])

  • Ida Kristoffersson

    (Trasnport and Location Analysis - KTH - KTH Royal Institute of Technology [Stockholm])

  • Mohammad Saifuzzaman

    (ENS Cachan - École normale supérieure - Cachan)

  • André de Palma

    (ENS Cachan - École normale supérieure - Cachan)

  • Kiarash Motamedi

    (THEMA - Théorie économique, modélisation et applications - UCP - Université de Cergy Pontoise - Université Paris-Seine - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper reviews the transportation models used for predicting impacts of congestion charging in European cities and carries out in-depth comparison of two such models, METROPOLIS and SILVESTER. Both are mesoscopic dynamic models involving modal split, route choice and departure time choice calibrated for the Stockholm baseline situation without charges and applied for modeling effects of congestion charging. The results obtained from the two models are mutually compared and validated against actual outcome of the Stockholm congestion charging scheme. Both models provide significant improvement in realism over static models. However results of cost benefit analysis may differ substantially.

Suggested Citation

  • Leonid Engelson & Ida Kristoffersson & Mohammad Saifuzzaman & André de Palma & Kiarash Motamedi, 2013. "Comparison of two dynamic transportation models: The case of Stockholm congestion charging," Working Papers hal-00779285, HAL.
  • Handle: RePEc:hal:wpaper:hal-00779285
    Note: View the original document on HAL open archive server: https://hal.science/hal-00779285
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Congestion charges; Congestion pricing; Road pricing; Transportation models; Dynamic assignment; Mesoscopic models; Departure time choice;
    All these keywords.

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