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A multi-paradigm approach to system dynamics modeling of intercity transportation


  • Lewe, J.-H.
  • Hivin, L.F.
  • Mavris, D.N.


The complexity of the transportation system calls for a holistic solution approach that employs multiple modeling paradigms such as agent-based modeling and system dynamics. Various techniques for combining these paradigms are explored and logically classified, which helps guide hybrid modeling. A system dynamics model for multimodal intercity transportation is created, which integrates socioeconomic factors, mode performance, aggregated demand and capacity. The model is calibrated against a set of data points from an existing agent-based model. An effective inheritance of the proven predictive power of the agent-based model is demonstrated by reproducing the historic aviation demand with sufficient accuracy.

Suggested Citation

  • Lewe, J.-H. & Hivin, L.F. & Mavris, D.N., 2014. "A multi-paradigm approach to system dynamics modeling of intercity transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 188-202.
  • Handle: RePEc:eee:transe:v:71:y:2014:i:c:p:188-202
    DOI: 10.1016/j.tre.2014.09.011

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    References listed on IDEAS

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    4. Wang, Jidong & Wu, Jiahui & Che, Yanbo, 2019. "Agent and system dynamics-based hybrid modeling and simulation for multilateral bidding in electricity market," Energy, Elsevier, vol. 180(C), pages 444-456.

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