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Integrated Agent-based and System Dynamics Modelling for Simulation of Sustainable Mobility

Author

Listed:
  • Ehsan Shafiei
  • Hlynur Stefansson
  • Eyjolfur Ingi Asgeirsson
  • Brynhildur Davidsdottir
  • Marco Raberto

Abstract

In this article, a conceptual framework for a comprehensive evaluation of the diffusion process of alternative fuel vehicles is introduced. The framework takes into account the most influencing stakeholders, including car manufacturers, car dealers, consumers, energy supply system, fuel stations and government. The underlying mathematical models of different stakeholders are then integrated in one model of the whole energy and transport system. The hybrid modelling framework links the two powerful dynamic simulation approaches of system dynamics (SD) and agent-based (AB) modelling. Integrated modelling structure gives the potential of building more accurate and computationally efficient models for simulating the transition to sustainable mobility. We specify the integration process and the most important linking variables between various energy and transport components. Then the application of the integrated model is explained through a test case and, finally, the applicability of the hybrid AB and SD approach and its potential contribution to the models of transition to sustainable mobility will be concluded.

Suggested Citation

  • Ehsan Shafiei & Hlynur Stefansson & Eyjolfur Ingi Asgeirsson & Brynhildur Davidsdottir & Marco Raberto, 2013. "Integrated Agent-based and System Dynamics Modelling for Simulation of Sustainable Mobility," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 44-70, January.
    • Handle: RePEc:taf:transr:v:33:y:2013:i:1:p:44-70
    DOI: 10.1080/01441647.2012.745632
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    Citations

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    Cited by:

    1. Esteban Lopez-Arboleda & Alfonso T. Sarmiento & Laura M. Cardenas, 2019. "Systematic Review of Integrated Sustainable Transportation Models for Electric Passenger Vehicle Diffusion," Sustainability, MDPI, vol. 11(9), pages 1-19, April.
    2. Shafiei, Ehsan & Davidsdottir, Brynhildur & Fazeli, Reza & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2018. "Macroeconomic effects of fiscal incentives to promote electric vehicles in Iceland: Implications for government and consumer costs," Energy Policy, Elsevier, vol. 114(C), pages 431-443.
    3. Guo, Xiaoyan & He, Junliang & Yu, Hang & Liu, Mei, 2023. "Carbon peak simulation and peak pathway analysis for hub-and-spoke container intermodal network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    4. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2015. "Comparative analysis of hydrogen, biofuels and electricity transitional pathways to sustainable transport in a renewable-based energy system," Energy, Elsevier, vol. 83(C), pages 614-627.
    5. Maggi, Elena & Vallino, Elena, 2016. "Understanding urban mobility and the impact of public policies: The role of the agent-based models," Research in Transportation Economics, Elsevier, vol. 55(C), pages 50-59.
    6. Mehdizadeh, Milad & Nordfjaern, Trond & Klöckner, Christian A., 2022. "A systematic review of the agent-based modelling/simulation paradigm in mobility transition," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    7. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2014. "Potential impact of transition to a low-carbon transport system in Iceland," Energy Policy, Elsevier, vol. 69(C), pages 127-142.
    8. Bugalia, Nikhil & Maemura, Yu & Dasari, Rohit & Patidar, Manoj, 2023. "A system dynamics model for effective management strategies of High-Speed Railway (HSR) projects involving private sector participation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    9. Martin Zsifkovits & Markus Günther, 2015. "Simulating resistances in innovation diffusion over multiple generations: an agent-based approach for fuel-cell vehicles," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 501-522, June.
    10. Vanessa Assumma & Marta Bottero & Giulia Datola & Elena De Angelis & Roberto Monaco, 2019. "Dynamic Models for Exploring the Resilience in Territorial Scenarios," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    11. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi & Keith, David R., 2016. "Analysis of supply-push strategies governing the transition to biofuel vehicles in a market-oriented renewable energy system," Energy, Elsevier, vol. 94(C), pages 409-421.
    12. Bjarnhedinn Gudlaugsson & Dana Abi Ghanem & Huda Dawood & Gobind Pillai & Michael Short, 2022. "A Qualitative Based Causal-Loop Diagram for Understanding Policy Design Challenges for a Sustainable Transition Pathway: The Case of Tees Valley Region, UK," Sustainability, MDPI, vol. 14(8), pages 1-49, April.
    13. Andrea Di Ronco & Francesca Giacobbo & Antonio Cammi, 2020. "A Kalman Filter-Based Approach for Online Source-Term Estimation in Accidental Radioactive Dispersion Events," Sustainability, MDPI, vol. 12(23), pages 1-19, November.
    14. Esteban Lopez-Arboleda & Alfonso T. Sarmiento & Laura M. Cardenas, 2021. "Systemic approach for integration of sustainability in evaluation of public policies for adoption of electric vehicles," Systemic Practice and Action Research, Springer, vol. 34(4), pages 399-417, August.

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