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Towards an integrated multi-agent urban transport model of passenger and freight

Author

Listed:
  • Schröder, Stefan
  • Liedtke, Gernot Thorsten

Abstract

Transport policy defines ever more challenging goals to reduce the negative impacts of freight transport and to make freight transport more efficient. To achieve these goals, there are a number of policy measures that are tailored to specific actors to alter their behaviour by changing their transport context. To analyse such measure in advance, we propose a multi agent transport simulation of passenger and freight. We specify the objectives of the agents and analyse whether our model is sensitive to a typical policy measure, i.e. a distance dependent toll for heavy vehicles within a low emission zone. Additionally, we study the computational costs of our model. Based on a sandbox scenario, we illustrate that our model is able to capture the behavioural adaptations and interdependencies of passenger and freight traffic, and that we are able to take into account that policy measures for a specific subset can affect the entire transport system.

Suggested Citation

  • Schröder, Stefan & Liedtke, Gernot Thorsten, 2017. "Towards an integrated multi-agent urban transport model of passenger and freight," Research in Transportation Economics, Elsevier, vol. 64(C), pages 3-12.
    • Handle: RePEc:eee:retrec:v:64:y:2017:i:c:p:3-12
    DOI: 10.1016/j.retrec.2016.12.001
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    Citations

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    Cited by:

    1. Anand, Nilesh & van Duin, Ron & Tavasszy, Lorant, 2021. "Carbon credits and urban freight consolidation: An experiment using agent based simulation," Research in Transportation Economics, Elsevier, vol. 85(C).
    2. Leonor Teixeira & Ana Luísa Ramos & Carolina Costa & Dulce Pedrosa & César Faria & Carina Pimentel, 2023. "SOLFI: An Integrated Platform for Sustainable Urban Last-Mile Logistics’ Operations—Study, Design and Development," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    3. Tomáš Skrúcaný & Martin Kendra & Ondrej Stopka & Saša Milojević & Tomasz Figlus & Csaba Csiszár, 2019. "Impact of the Electric Mobility Implementation on the Greenhouse Gases Production in Central European Countries," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    4. Sakai, Takanori & Romano Alho, André & Bhavathrathan, B.K. & Chiara, Giacomo Dalla & Gopalakrishnan, Raja & Jing, Peiyu & Hyodo, Tetsuro & Cheah, Lynette & Ben-Akiva, Moshe, 2020. "SimMobility Freight: An agent-based urban freight simulator for evaluating logistics solutions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    5. Bruzzone, Francesco & Nocera, Silvio & Pesenti, Raffaele, 2023. "Feasibility and optimization of freight-on-transit schemes for the sustainable operation of passengers and logistics," Research in Transportation Economics, Elsevier, vol. 101(C).
    6. Leise Kelli de Oliveira & Isabela Kopperschmidt de Oliveira & João Guilherme da Costa Braga França & Gustavo Wagner Nunes Balieiro & Jean Francisco Cardoso & Tiago Bogo & Diego Bogo & Marco Adriano Li, 2022. "Integrating Freight and Public Transport Terminals Infrastructure by Locating Lockers: Analysing a Feasible Solution for a Medium-Sized Brazilian Cities," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    7. Giacomo Lozzi & Gabriele Iannaccone & Ila Maltese & Valerio Gatta & Edoardo Marcucci & Riccardo Lozzi, 2022. "On-Demand Logistics: Solutions, Barriers, and Enablers," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    8. Ringsberg, Henrik, 2023. "Sustainable FLM transport based on IPF transport by ferry in coastal rural areas: A case from Sweden," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    9. Yurii Gutarevych & Vasyl Mateichyk & Jonas Matijošius & Alfredas Rimkus & Igor Gritsuk & Oleksander Syrota & Yevheniy Shuba, 2020. "Improving Fuel Economy of Spark Ignition Engines Applying the Combined Method of Power Regulation," Energies, MDPI, vol. 13(5), pages 1-19, March.

    More about this item

    Keywords

    Freight transport modelling; Urban transport; Transport policy;
    All these keywords.

    JEL classification:

    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • D29 - Microeconomics - - Production and Organizations - - - Other
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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