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An agent based model concept for assessing modal share in inter-regional freight transport markets

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  • Baindur, Deepak
  • Viegas, José Manuel

Abstract

This paper introduces an Agent based modelling approach to model inter-urban freight transport between two or more trading regions. The use of the model is to ascertain the modal share of competing transport modes (road and intermodal) while taking complex transport service supply–demand dynamics into account. It is structured by modules describing company generation, supplier choice, modal competition and International road freight transport market dynamics. The behaviour of individual actors is simulated using normative agent behaviour and market knowledge. Using the micro-simulation approach, shippers and carriers (primarily road hauliers and a maritime based intermodal operator) interact through simulated contracts resulting in the generation of tours. The service performance of the tours is fed back into the model for decision making during contract deliberations. Preliminary application of model to Mediterranean case study show that market share gains of around 25–30% are obtained with policy interventions of financial subsidies to intermodal services and more frequent shipping services in the intermodal transport respectively.

Suggested Citation

  • Baindur, Deepak & Viegas, José Manuel, 2011. "An agent based model concept for assessing modal share in inter-regional freight transport markets," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1093-1105.
    • Handle: RePEc:eee:jotrge:v:19:y:2011:i:6:p:1093-1105
    DOI: 10.1016/j.jtrangeo.2011.05.006
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    3. Reis, Vasco, 2014. "Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 100-120.
    4. Alessandra Renna & Marco Petrelli & Stefano Carrese & Riccardo Bertocci, 2021. "An Innovative Simulation Agent-Based Model for the Combined Sea-Road Transport as a DSS," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    5. Patricio Gallardo & Rua Murray & Susan Krumdieck, 2021. "A Sequential Optimization-Simulation Approach for Planning the Transition to the Low Carbon Freight System with Case Study in the North Island of New Zealand," Energies, MDPI, vol. 14(11), pages 1-24, June.
    6. Crainic, Teodor Gabriel & Perboli, Guido & Rosano, Mariangela, 2018. "Simulation of intermodal freight transportation systems: a taxonomy," European Journal of Operational Research, Elsevier, vol. 270(2), pages 401-418.
    7. Ralf Elbert & Lowis Seikowsky, 2017. "The influences of behavioral biases, barriers and facilitators on the willingness of forwarders’ decision makers to modal shift from unimodal road freight transport to intermodal road–rail freight tra," Journal of Business Economics, Springer, vol. 87(8), pages 1083-1123, November.
    8. Gayane L. Beklaryan & Andranik S. Akopov, 2019. "Modelling the Efficiency of the Use of Production and Investment Resources at the Regional Level: The Case of Russia," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 151-166.
    9. Tomas Ambra & An Caris & Cathy Macharis, 2019. "Should I Stay or Should I Go? Assessing Intermodal and Synchromodal Resilience from a Decentralized Perspective," Sustainability, MDPI, vol. 11(6), pages 1-24, March.
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    11. Lehtinen, Jarkko & Bask, Anu H., 2012. "Analysis of business models for potential 3Mode transport corridor," Journal of Transport Geography, Elsevier, vol. 22(C), pages 96-108.

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