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Modelling Complex Intermodal Freight Flows

  • An Caris
  • Gerrit K. Janssens
  • Cathy Macharis
Part of the Understanding Complex Systems book series (UCS)

Summary

In regions with an extensive waterway network intermodal transport including inland navigation is a good alternative for unimodal road transport. Intermodal transport networks exhibit an increased complexity due to the inclusion of multiple transport modes, multiple decision makers and multiple types of load units. A discrete event simulation methodology is proposed to understand the network dynamics and analyze policy measures with the intention of stimulating intermodal barge transport. The simulation model allows to quantify a number of network properties resulting from the interaction of freight flows. The intermodal hinterland network of the port of Antwerp serves as the real-world application in this study. Various aspects in the modelling process are discussed and a first potential policy is analysed.

Keywords

River Bank Port Area Discrete Event Simulation Model Intermodal Transport Multiple Decision Maker 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Damper, R.I.: Emergence and levels of abstraction. International Journal of Systems Science 31 (2000)Google Scholar
  2. 2.
    Janic, M., Reggiani, A., Nijkamp, P.: Sustainability of the European freight transport system: evaluation of innovative bundling networks. Transportation Planning and Technology 23, 129–156 (1999)CrossRefGoogle Scholar
  3. 3.
    Konings, R.: Smart collection and distribution of containers on barge in the port of Rotterdam. In: Proceedings of the Nectar Conference 2005, Las Palmas, Gran Canaria (2005)Google Scholar
  4. 4.
    Law, A.M.: Simulation modeling & analysis, 4th edn. McGraw-Hill, New York (2007)Google Scholar
  5. 5.
    Lyons, M.H., Adjali, I., Collings, D., Jensen, O.: Complex systems models for strategic decision making. BT Technology Journal 21(2), 11–27 (2003)CrossRefGoogle Scholar
  6. 6.
    Macharis, C., Bontekoning, Y.M.: Opportunities for OR in intermodal freight transport research: A review 153, 400–416 (2004)Google Scholar
  7. 7.
    Newman, A.M., Yano, C.A.: Scheduling direct and indirect trains and containers in an intermodal setting. Transportation Science 34(3), 256–270 (2000)zbMATHCrossRefGoogle Scholar
  8. 8.
    Parola, F., Sciomachen, A.: Intermodal container flows in a port system network: Analysis of possible growths via simulation models. International Journal of Production Economics 97, 75–88 (2005)CrossRefGoogle Scholar
  9. 9.
    Rizzoli, A.E., Fornara, N., Gambardella, L.M.: A simulation tool for combined rail/road transport in intermodal terminals. Mathematics and Computers in Simulation 59, 57–71 (2002)zbMATHCrossRefMathSciNetGoogle Scholar
  10. 10.
    Yerra, B.M., Levinson, D.M.: The emergence of hierarchy in transportation networks. The Annals of Regional Science 39, 541–553 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • An Caris
    • 1
  • Gerrit K. Janssens
    • 1
  • Cathy Macharis
    • 2
  1. 1.Transportation Research InstituteHasselt University - campus DiepenbeekDiepenbeekBelgium
  2. 2.Department MOSI - Transport and LogisticsVrije Universiteit Brussel - Managementschool SolvayBrusselBelgium

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