Résumés
Résumé
L’opinion publique est majoritairement favorable au développement d’un nouveau lien autoroutier entre Québec et Lévis. Plusieurs croient que l’ajout de voies autoroutières s’avère une façon efficace de régler le problème de congestion. Or, en pratique, la littérature suggère que cette solution n’atteint que rarement son objectif. Pour le moment, peu d’études ont tenté de chiffrer l’impact d’un possible 3e lien sur la circulation et les choix modaux. Cette étude tente d’apporter certains éléments de réponse à partir d’un modèle multi-agents, MATSim. Les scénarios retenus indiquent des changements globaux marginaux dans les parts modales. Les variations sont toutefois plus importantes pour les agents qui traversent quotidiennement le Fleuve. Les économies de temps liés au trajet, estimées en moyenne entre 2 et 3 minutes, et la réduction des kilomètres parcourus dans les scénarios de simulation suggèrent, dans le scénario le plus positif, un bénéfice annuel d’environ 40 millions de dollars, un montant très éloigné de l’investissement nécessaire pour construire l’infrastructure.
Mots-clés :
- Simulation multi-agent,
- MATSim,
- Eqasim,
- Analyse du choix modal,
- 3e lien
Abstract
Public opinion is overwhelmingly in favor of developing a new highway link between Quebec City and Lévis. Many believe that adding lanes is an effective way of solving the congestion problem. In practice, however, the literature suggests that this solution rarely achieves its objective. As yet, few studies have attempted to quantify the impact of a possible 3rd link on traffic and modal choices. This study attempts to provide some answers using a multi-agent model, MATSim. The scenarios selected indicate marginal overall changes in modal shares. However, the variations are greater for agents who cross the river daily. The savings in travel time, estimated between 2 and 3 minutes on average, and the reduction in kilometers traveled in the simulation scenarios suggest, in the most positive scenario, an annual benefit of around $40 million, a far cry from the investment required to build the infrastructure.
Keywords:
- Multi-agent simulation,
- MATSim,
- Eqasim,
- Modal choice analysis,
- 3rd link
Parties annexes
Bibliographie
- Anas, A., & Chang, H. (2023). Productivity benefits of urban transportation megaprojects: A general equilibrium analysis of «Grand Paris Express». Transportation Research Part B: Methodological, 174. https://doi.org/10.1016/j.trb.2023.03.006
- Bakhtiari, A., Patwary, A. U. Z., & Ciari, F. (2023). Electric Vehicle Charging Pricing Design for Agent-Based Traffic Microsimulation. Procedia Computer Science, 220, 755–762.
- Ballmer, M. ;, Horni, A. ;, Charypar, D. ;, Meister, K. ;, Ciari, F. ;, Axhausen, K. W., Balmer, M., Horni, A., Charypar, D., Meister, K., & Ciari, F. (2009). Wirkungen der Westumfahrung Zürich Analyse mit einer agentenbasierten Mikrosimulation Schlussbericht Wirkungen der Westumfahrung Zürich: Analyse mit einer agentenbasierten Mikrosimulation. https://doi.org/10.3929/ethz-a-005763454
- Balmer, M., Meister, K., Rieser, M., Nagel, K., & Axhausen, K. W. (2008). Agent-based simulation of travel demand: Structure and computational performance of MATSim-T. Arbeitsberichte Verkehrs-Und Raumplanung, 504.
- Banister, D. (1999). Planning more to travel less: Land use and transport. Town Planning Review, 70(3). https://doi.org/10.3828/tpr.70.3.e7p3837505516833
- Ben-Dor, G., Ben-Elia, E., & Benenson, I. (2021). Population downscaling in multi-agent transportation simulations: A review and case study. Simulation Modelling Practice and Theory, 108. https://doi.org/10.1016/j.simpat.2020.102233
- Bierlaire, M. (2018). Biogeme. Ecole Polytechnique Fédérale, Suiza.
- Boesch, P. M., & Ciari, F. (2015). Agent-based simulation of autonomous cars. 2015 American Control Conference (ACC), 2588–2592.
- Bouillaut, L., François, O., Putallaz, Y., Granier, C., & Cieux, C. (2020). A hybrid approach for the evaluation of rail monitoring and maintenance strategies for the grand paris express new metro. International Journal of Performability Engineering, 16(11). https://doi.org/10.23940/ijpe.20.11.p1.16851697
- Bowman, J. L., & Ben-Akiva, M. E. (2001). Activity-based disaggregate travel demand model system with activity schedules. Transportation Research Part A: Policy and Practice, 35(1). https://doi.org/10.1016/S0965-8564(99)00043-9
- Cairns, S., Atkins, S., & Goodwin, P. (2002). Disappearing traffic? The story so far. Proceedings of the Institution of Civil Engineers - Municipal Engineer, 151(1), 13–22. https://doi.org/10.1680/muen.2002.151.1.13
- Champagne, M.-P., & Dubé, J. (2024). The Double Standard of Quebec Transit Investment. Policy Options. https://policyoptions.irpp.org/magazines/june-2024/public-transport-quebec/
- Chouaki, T., Hörl, S., & Puchinger, J. (2022). Agent-based simulation of future mobility systems in the Paris area-MATSim User Meeting 2022.
- Ciari, F., Balac, M., & Axhausen, K. W. (2016). Modeling carsharing with the agent-based simulation MATSim: State of the art, applications, and future developments. Transportation Research Record, 2564(1), 14–20.
- De Freitas, L. M., Schuemperlin, O., Balac, M., & Ciari, F. (2017). Equity effects of congestion charges: An exploratory analysis with matsim. Transportation Research Record, 2670. https://doi.org/10.3141/2670-10
- Downs, A. (1962). The law of peak-hour expressway congestion. Traffic Quarterly, 16(3).
- Dubé, J., Aubry, G., Beaudoin, C., Carrier-Morissette, A., Fecteau, J., & Herbuvaux, A. (2019). Vers une utilisation accrue du transport en commun à Québec ? Analyse des impacts de scénarios pour les personnes fréquentant le campus universitaire. Canadian Journal of Regional Science/Revue Canadienne Des Sciences Régionales, 42(2), 140–153.
- Dubé, J., Mercier, J., & Scanu, E. (2021). Comment survivre aux controverses sur le transport à Québec ? Septentrion.
- Duranton, G., Morrow, P. M., & Turner, M. A. (2014). Roads and Trade: Evidence from the US. The Review of Economic Studies, 81(2), 681–724. https://doi.org/10.1093/restud/rdt039
- Duranton, G., & Turner, M. A. (2011). The Fundamental Law of Road Congestion: Evidence from US Cities. American Economic Review, 101(6), 2616–2652. https://doi.org/10.1257/aer.101.6.2616
- Egal, E. (2023). New elements on the lithostratigraphy of the Paris Eocene series based on the observation of hundreds of core drillings (Eole and Grand Paris Express projects). Geologie de La France, 2023(1).
- Felbermair, S., Lammer, F., Trausinger-Binder, E., & Hebenstreit, C. (2020). Generating synthetic population with activity chains as agent-based model input using statistical raster census data. Procedia Computer Science, 170. https://doi.org/10.1016/j.procs.2020.03.040
- Gall, T., Chouaki, T., Yannou, B., Vallet, F., Gall, T., Chouaki, T., Yannou, B., & Vallet, F. (2023). Un cadre basé sur les scénarios du futur au service de la simulation multi-agents de la mobilité urbaine de demain. https://hal.science/hal-04012211
- Grandmont, É. (2018). Le troisième lien à Québec : Catastrophe environnementale, lubie politique ou solution réelle ? Vecteur Environnement, 51(1), 40.
- Hankach, P., Le Bescond, V., Gastineau, P., Vandanjon, P. O., Can, A., & Aumond, P. (2024). Individual-level activity-based modeling and indicators for assessing construction sites noise exposure in urban areas. Sustainable Cities and Society, 101. https://doi.org/10.1016/j.scs.2024.105188
- Hasnine, M. S., & Nurul Habib, K. (2021). Tour-based mode choice modelling as the core of an activity-based travel demand modelling framework: a review of state-of-the-art. Transport Reviews, 41(1). https://doi.org/10.1080/01441647.2020.1780648
- He, B. Y., Zhou, J., Ma, Z., Wang, D., Sha, D., Lee, M., Chow, J. Y. J., & Ozbay, K. (2021). A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City. Transport Policy, 101. https://doi.org/10.1016/j.tranpol.2020.12.011
- Hörl, S., & Balac, M. (2021). Introducing the eqasim pipeline: From raw data to agent-based transport simulation. Procedia Computer Science, 184, 712–719.
- Hörl, S., Balac, M., & Axhausen, K. W. (2018). A first look at bridging discrete choice modeling and agent-based microsimulation in MATSim. Procedia Computer Science, 130, 900–907. https://doi.org/10.1016/j.procs.2018.04.087
- Hörl, S., Balać, M., & Axhausen, K. W. (2019). Pairing discrete mode choice models and agent-based transport simulation with MATSim. 2019 TRB Annual Meeting Online, 19–2409.
- Huang, J., Cui, Y., Zhang, L., Tong, W., Shi, Y., & Liu, Z. (2022). An Overview of Agent-Based Models for Transport Simulation and Analysis. In Journal of Advanced Transportation (Vol. 2022). https://doi.org/10.1155/2022/1252534
- Jain, S., Ronald, N., Thompson, R., & Winter, S. (2017). Predicting susceptibility to use demand responsive transport using demographic and trip characteristics of the population. Travel Behaviour and Society, 6, 44–56. https://doi.org/10.1016/j.tbs.2016.06.001
- Joubert, J. W. (2018). Evaluating the Relocation of an Urban Container Terminal. In City Logistics 2. https://doi.org/10.1002/9781119425526.ch12
- Kitamura, R. (1984). A model of daily time allocation to discretionary out-of-home activities and trips. Transportation Research Part B, 18(3). https://doi.org/10.1016/0191-2615(84)90036-5
- Llorca, C., & Moeckel, R. (2019). Effects of scaling down the population for agent-based traffic simulations. Procedia Computer Science, 151, 782–787. https://doi.org/10.1016/J.PROCS.2019.04.106
- Manout, O., & Ciari, F. (2021). Assessing the Role of Daily Activities and Mobility in the Spread of COVID-19 in Montreal With an Agent-Based Approach. Frontiers in Built Environment, 7. https://doi.org/10.3389/fbuil.2021.654279
- Manski, C. F. (1977). The structure of random utility models. Theory and Decision, 8(3), 229.
- Marmaras, C., Xydas, E., & Cipcigan, L. (2017). Simulation of electric vehicle driver behaviour in road transport and electric power networks. Transportation Research Part C: Emerging Technologies, 80, 239–256.
- McFadden, D. (1974). The measurement of urban travel demand. Journal of Public Economics, 3(4). https://doi.org/10.1016/0047-2727(74)90003-6
- McFadden, D. (1978). Estimation techniques for the elasticity of substitution and other production parameters. In Contributions to Economic Analysis (Vol. 2, pp. 73–123). Elsevier.
- McNally, M. G. (2007). Chapter3: The Four Step Model. Handbook of Transport Modeling.
- Meister, K., Balmer, M., Ciari, F., Horni, A., Rieser, M., Waraich, R. a, & Axhausen, K. W. (2010). Large-Scale Agent-Based Travel Demand Optimization Applied to Switzerland , Including Mode Choice. 12th World Conference on Transportation Research, 11 - 15 July 2010, Lisbon, Portugal, 1.
- Mukherjee, C., White, H., & Wuyts, M. (2013). Econometrics and data analysis for developing countries. In Econometrics and Data Analysis for Developing Countries. https://doi.org/10.4324/9781315003580
- Nello-Deakin, S. (2022). Exploring traffic evaporation: Findings from tactical urbanism interventions in Barcelona. Case Studies on Transport Policy, 10(4), 2430–2442. https://doi.org/10.1016/j.cstp.2022.11.003
- Neumann, A., Röder, D., & Joubert, J. W. (2015). Toward a simulation of minibuses in South Africa. Journal of Transport and Land Use, 8(1). https://doi.org/10.5198/jtlu.2015.390
- Pendyala, R. M., Kitamura, R., & Prasuna Reddy, D. V. G. (1998). Application of an activity-based travel-demand model incorporating a rule-based algorithm. Environment and Planning B: Planning and Design, 25(5). https://doi.org/10.1068/b250753
- Pereira, A. M., Dingil, A. E., Přibyl, O., Myška, V., Vorel, J., & Kříž, M. (2022). An Advanced Travel Demand Synthesis Process for Creating a MATSim Activity Model: The Case of Ústí nad Labem. Applied Sciences, 12(19), 10032. https://doi.org/10.3390/app121910032
- Poletti, F. (2017). Public Transit Mapping on Multi-Modal Networks in MATSim. Strasse Und Verkehr, 7–8.
- Russell, S., Norvig, P., & Intelligence, A. (1995). A modern approach. Artificial Intelligence. Prentice-Hall, Egnlewood Cliffs, 25(27), 79–80.
- Schneider, B. (2018). CityLab University: Induced Demand. Bloomberg CityLab.
- Simard, M. (2019). Québec et ses dilemmes urbanistiques : les enseignements du terrain et des débats médiatiques. Revue Organisations & Territoires, 28(2), 9–27.
- Tennøy, A., Tønnesen, A., & Gundersen, F. (2019). Effects of urban road capacity expansion – Experiences from two Norwegian cases. Transportation Research Part D: Transport and Environment, 69. https://doi.org/10.1016/j.trd.2019.01.024
- Thornton, R. C. G. (2017). Étude d’impacts économiques liés à la congestion routière et à l’aménagement d’un troisième lien routier interrives entre Québec et Lévis.
- Train, K. E. (2003). Discrete choice methods with simulation. In Discrete Choice Methods with Simulation (Vol. 9780521816960). https://doi.org/10.1017/CBO9780511753930
- Voisin, M., Dubé, J., & Coelho, L. C. (2023). Évaluation comparative des coûts totaux des déplacements selon le mode de transport utilisé sur le territoire de la Communauté métropolitaine de Québec.
- W Axhausen, K., Horni, A., & Nagel, K. (2016). The multi-agent transport simulation MATSim. Ubiquity Press.
- Waraich, R. A., Charypar, D., Balmer, M., & Axhausen, K. W. (2015). Performance improvements for large-scale traffic simulation in MATSim. In Computational Approaches for Urban Environments. https://doi.org/10.1007/978-3-319-11469-9_9
- Zhang, Q., Moeckel, R., & Clifton, K. J. (2024). MoPeD meets MITO: a hybrid modeling framework for pedestrian travel demand. Transportation, 51(4), 1327–1347.
- Zhu, Y., Xie, K., Ozbay, K., & Yang, H. (2018). Hurricane evacuation modeling using behavior models and scenario-driven agent-based simulations. Procedia Computer Science, 130, 836–843.
- Ziemke, D. (2016). Berlin II: CEMDAP-MATSim-Cadyts Scenario. In The Multi-Agent Transport Simulation MATSim. https://doi.org/10.5334/baw.54
- Ziemke, D., Kaddoura, I., & Nagel, K. (2019). The MATSim Open Berlin Scenario: A multimodal agent-based transport simulation scenario based on synthetic demand modeling and open data. Procedia Computer Science, 151, 870–877.
- Ziemke, D., Metzler, S., & Nagel, K. (2017). Modeling bicycle traffic in an agent- based transport simulation. Procedia Computer Science, 109, 923–928.
- ATV. (2020). Nouvelle mouture du projet de 3e lien : beaucoup de questions. https://www.tvanouvelles.ca/2020/01/31/3e-lien-plusieurs-questions-restent-sans-reponses
- CDPQinftra. (2024). Plan directeur de mobilité Circuit intégré de transport express ( CITÉ ). cdpqinfra.com
- Cliche, J.-F. (2017). Le troisième lien : un moteur de développement économique ? Le Soleil. https://www.lesoleil.com/2017/02/10/le-troisieme-lien-un-moteur-de-developpement-economique-60804f82473f6b69964d9aae1c2cf8d7/
- Dorion, C. (2018). Catherine Dorion compare le 3e lien à « une ligne de coke». Radio-Canada. https://ici.radio-canada.ca/nouvelle/1136060/deputee-quebec-solidaire-catherine-dorion-compare-troisieme-lien-ligne-de-coke
- Gagnon, M.-A. (2018). 5 corridors potentiels pour un 3e lien Québec-Lévis. Le Journal de Québec. https://www.journaldequebec.com/2018/08/14/cinq-corridors-potentiels-seront-etudies-pour-un-troisieme-lien-quebeclevis
- Gagnon, M.-A. (2021a). 3e lien: un tunnel de 6 à 10 G $ d’ici 10 ans. Le Journal de Québec.
- Gagnon, M.-A. (2021b). Un tunnelier monstre pour creuser le 3e lien. Le Journal de Québec. https://www.journaldequebec.com/2021/05/19/un-tunnelier-monstre-pour-creuser-le-3e-lien.
- GIRAM. (2019). Troisième lien. Pour une solution du 21e siècle. https://giram.ca/wp/wp-content/uploads/2019/03/3e-lien-final-30-avril.pdf
- La Presse Canadienne. (2022, December 5). Pont-tunnel Louis-Hippolyte-La Fontaine: bilan mensuel positif du gouvernement. La Presse Canadienne.
- Lavallée, J. L. (2016). Le troisième lien prioritaire, selon un premier sondage. Le Journal de Québec. https://www.journaldequebec.com/2016/09/26/sondage-som-fm93-64--des-gens-preferent-le-troisieme-lien-au-srb
- Lavoie, J. (2021). Les opposants au 3e lien se rallient à Régis Labeaume. Ici.Radio-Canada. https://ici.radio-canada.ca/nouvelle/1839518/reaction -lettre-labeaume-3e-lien-tramway-legault-arseneau-grandmont-smith
- Lessard, D. (2019). Troisième lien: un pont qui pourrait coûter jusqu’à 6 milliards. La Presse Canadienne. https://www.lapresse.ca/actualites/regional/201904/19/01-5222820-troisieme-lien-un-pont-qui-pourrait-couter-jusqua-6-milliards.php
- Martin, S. (2021). Le gouvernement essaie-t-il de verdir le 3e lien ? Le Journal de Québec. https://www.journaldequebec.com/2021/05/17/le-gouvernement-essaie-t-il-de-verdir-le-3e-lien
- MTMDET. (2015). Étude de faisabilité et des coûts pour le tunnel reliant les rives nord et sud du Saint-Laurent entre Québec et Lévis. https://cdn-contenu.quebec.ca/cdn-contenu/adm/min/transports/transports/projets_routiers/Capitale-Nationale/lien-interrives-capitale-nationale-chaudiere-appalaches/etudes-avant-2020/rapport-etude-tunnel-levis-qc-2016.pdf
- Porter, I. (2017). À Québec, l’auto passe avant l’autobus. Le Devoir. https://www.quebecurbain.qc.ca/2017/05/08/a-quebec-lauto-passe-avant-lautobus/
- Porter, I. (2019). La CAQ embarrassée par le troisième lien. Le Devoir. https://www.ledevoir.com/politique/quebec/563365/le-troisieme-lien-servira-a-lutte-contre-les-changements-climatiques-affirme-la-caq
- Porter, I. (2021). Le troisième lien Québec-Lévis pourrait coûter près de 10 milliards. Le Devoir. https://www.ledevoir.com/societe/transports-urbanisme/602048/annonce-du-gouvernement-legault-sur-le-3e-lien
