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Article

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

1
Lille Economie et Management, UMR 9221, Département Economie Gestion, Université du Littoral Côte d’Opale, 59140 Dunkerque, France
2
Territoires, Ville, Environnement et Socialété, ULR 4477, Département Economie Gestion, Université du Littoral Côte d’Opale, 59140 Dunkerque, France
3
Center for Operations Research and Econometrics, Louvain School of Management, UCLouvain, 1348 Louvain-La-Neuve, Belgium
*
Author to whom correspondence should be addressed.
Academic Editors: Páraic Carroll, Brian Caulfield and Maxim A. Dulebenets
Sustainability 2022, 14(3), 1535; https://doi.org/10.3390/su14031535
Received: 3 December 2021 / Revised: 17 January 2022 / Accepted: 19 January 2022 / Published: 28 January 2022
(This article belongs to the Special Issue Sustainable Transport Planning under Conditions of Uncertainty)
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. View Full-Text
Keywords: multimodal transport; transport simulation (MATSim); calibration of transport models; emissions and congestion; free public transport; cordon pricing multimodal transport; transport simulation (MATSim); calibration of transport models; emissions and congestion; free public transport; cordon pricing
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MDPI and ACS Style

Kilani, M.; Diop, N.; De Wolf, D. A Multimodal Transport Model to Evaluate Transport Policies in the North of France. Sustainability 2022, 14, 1535. https://doi.org/10.3390/su14031535

AMA Style

Kilani M, Diop N, De Wolf D. A Multimodal Transport Model to Evaluate Transport Policies in the North of France. Sustainability. 2022; 14(3):1535. https://doi.org/10.3390/su14031535

Chicago/Turabian Style

Kilani, Moez, Ngagne Diop, and Daniel De Wolf. 2022. "A Multimodal Transport Model to Evaluate Transport Policies in the North of France" Sustainability 14, no. 3: 1535. https://doi.org/10.3390/su14031535

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