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

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
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Soumis le : vendredi 28 janvier 2022 - 14:01:53
Dernière modification le : samedi 25 juin 2022 - 03:27:57
Archivage à long terme le : : vendredi 29 avril 2022 - 20:25:13


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Moez Kilani, Ngagne Diop, Daniel de Wolf. A Multimodal Transport Model to Evaluate Transport Policies in the North of France. Sustainability, MDPI, 2022, 14 (1535), pp.1-16. ⟨10.3390/su14031535⟩. ⟨hal-03547266⟩



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