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A Multimodal Transport Model to Evaluate Transport Policies in the North of France

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  • Moez Kilani

    (Lille Economie et Management, UMR 9221, Département Economie Gestion, Université du Littoral Côte d’Opale, 59140 Dunkerque, France)

  • Ngagne Diop

    (Territoires, Ville, Environnement et Socialété, ULR 4477, Département Economie Gestion, Université du Littoral Côte d’Opale, 59140 Dunkerque, France)

  • Daniel De Wolf

    (Territoires, Ville, Environnement et Socialété, ULR 4477, Département Economie Gestion, Université du Littoral Côte d’Opale, 59140 Dunkerque, France
    Center for Operations Research and Econometrics, Louvain School of Management, UCLouvain, 1348 Louvain-La-Neuve, Belgium)

Abstract

We developed a passenger transport model for the North of France and used it to discuss the impacts of some policies focusing on the limitations of polluting gas emissions and congestion. The model is calibrated for the North of France and includes both urban and intercity trips. Four transport modes are considered: walking, biking, public transport and private cars. To some extent, the combination of these modes is possible. The model is calibrated to match mode shares and the dynamic of congestion along a full day. The simulations are conducted within the MATSim framework. We evaluate the impacts, on traffic flows and polluting gas emissions, of two pricing reforms: free public transport and road pricing in city center of Lille (the main metropolitan area in the study region). Free public transport yields a significant modal shift towards public transport, resulting in a reduction in the usage of private cars. The road pricing scheme we have considered results in similar impacts but with limited magnitude. Overall, a significant reduction in congestion and emissions of pollutant gases can be obtained by applying convenient pricing reforms. Since we use an agent-based model, we are able to identify the specific location of the main impacts on the network.

Suggested Citation

  • Moez Kilani & Ngagne Diop & Daniel De Wolf, 2022. "A Multimodal Transport Model to Evaluate Transport Policies in the North of France," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1535-:d:736776
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    References listed on IDEAS

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    Cited by:

    1. Pimnapa Pongsayaporn & Thanwadee Chinda, 2022. "Long-Term Strategies for Multimodal Transportation of Block Rubber in Thailand," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    2. De Wolf, Daniel & Diop, Ngagne & Kilani, Moez, 2022. "Environmental impacts of enlarging electric vehicles market share," LIDAM Discussion Papers CORE 2022011, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Moez Kilani & Ousmane Diop & Ngagne Diop, 2023. "Using Transport Activity-Based Model to Simulate the Pandemic," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    4. Daniel Wolf & Ngagne Diop & Moez Kilani, 2024. "Environmental impacts of enlarging the market share of electric vehicles," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 26(2), pages 219-238, April.

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