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Development of an agent-based model for railway infrastructure project appraisal

Author

Listed:
  • Joana Cunha

    (Instituto Superior Técnico, Universidade de Lisboa)

  • Vasco Reis

    (Instituto Superior Técnico, Universidade de Lisboa)

  • Paulo Teixeira

    (Instituto Superior Técnico, Universidade de Lisboa)

Abstract

The planning of transport infrastructure must consider both the short-term capacity demand and the equipment’s maintenance needs, as well as the long-term evolution of the transportation system. In the freight transportation system, long-term evolutions stem from the individual behaviours of several stakeholders and their dynamic relationships. Their actions may change how the infrastructure is used, giving rise to bottlenecks, or novel development opportunities. However, existing project planning techniques tend to make static assumptions on these agents’ behaviours when predicting future developments. Furthermore, there is a need for models able to simulate short-term developments in transport operations alongside long-term system evolutions. This work aims to contribute towards solving these gaps, particularly in what concerns the consideration of stakeholder adaptation strategies when confronted with infrastructure alterations. We propose a novel a dual-approach Agent-based Modelling concept, based on Hybrid Modelling methodologies. This framework is comprised of two distinct modules: the micro module reproduces short-term freight transport operations in the physical network, while the macro module captures the stakeholders’ decision-making in the long-term. These modules continuously communicate with one another, updating critical information regarding system conditions throughout the simulation period. The developed modelling concept was assessed through a set of simulation trials, which revealed its sensitivity to different scenarios of railway project implementation and demonstrated its potential for capturing the possible outcomes of distinct infrastructure projects, stimulating the responses of stakeholders to the new market conditions, and identifying network bottlenecks.

Suggested Citation

  • Joana Cunha & Vasco Reis & Paulo Teixeira, 2022. "Development of an agent-based model for railway infrastructure project appraisal," Transportation, Springer, vol. 49(6), pages 1649-1681, December.
  • Handle: RePEc:kap:transp:v:49:y:2022:i:6:d:10.1007_s11116-021-10223-2
    DOI: 10.1007/s11116-021-10223-2
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    References listed on IDEAS

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    1. K Katsaliaki & N Mustafee & S J E Taylor & S Brailsford, 2009. "Comparing conventional and distributed approaches to simulation in a complex supply-chain health system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 43-51, January.
    2. Wallentin, Gudrun & Neuwirth, Christian, 2017. "Dynamic hybrid modelling: Switching between AB and SD designs of a predator-prey model," Ecological Modelling, Elsevier, vol. 345(C), pages 165-175.
    3. Strachan, Neil & Kannan, Ramachandran, 2008. "Hybrid modelling of long-term carbon reduction scenarios for the UK," Energy Economics, Elsevier, vol. 30(6), pages 2947-2963, November.
    4. Alkaraan, Fadi & Northcott, Deryl, 2006. "Strategic capital investment decision-making: A role for emergent analysis tools?," The British Accounting Review, Elsevier, vol. 38(2), pages 149-173.
    5. de Neufville, Richard, 1995. "Management of multi-airport systems," Journal of Air Transport Management, Elsevier, vol. 2(2), pages 99-110.
    6. Arencibia, Ana Isabel & Feo-Valero, María & García-Menéndez, Leandro & Román, Concepción, 2015. "Modelling mode choice for freight transport using advanced choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 252-267.
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