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Analysis of Demand and Operations of Inter-modal Terminals

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  • banerjee, soumya

    (University of Oxford)

Abstract

Inter-modal terminals (IMT) reduce road congestion and exploit economies of scale by pooling demand from surrounding areas and using rail to transport containers to and from ports. The alternative to using IMTs is using trucks to transport containers directly to and from the port. Trucks increase road congestion but rail requires additional handling of containers (lift on and lift off). The attractiveness of truck versus rail is dependent on a number of variables such as costs, total travel time, frequency of services, risk, and material resources. To date, the use of open data to analyse and model freight movements has been minimal, primarily because of the shortage of open data focusing on freight movements across cities, regions or countries. In this paper we leverage open government data for the Port Botany rail network and use it to develop flexible and dynamic simulation and optimisation tools that enable various stakeholders including IMT operators, port authorities, and government policy makers to make more informed decisions not only about pricing, but also operation scheduling and internal operations.

Suggested Citation

  • banerjee, soumya, 2016. "Analysis of Demand and Operations of Inter-modal Terminals," OSF Preprints 2xv6r, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:2xv6r
    DOI: 10.31219/osf.io/2xv6r
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    References listed on IDEAS

    as
    1. Mary R Brooks & Sean M Puckett & David A Hensher & Adrian Sammons, 2012. "Understanding mode choice decisions: A study of Australian freight shippers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(3), pages 274-299, September.
    2. Milorad Vidović & Slobodan Zečević & Milorad Kilibarda & Jelena Vlajić & Nenad Bjelić & Snežana Tadić, 2011. "The p-hub Model with Hub-catchment Areas, Existing Hubs, and Simulation: A Case Study of Serbian Intermodal Terminals," Networks and Spatial Economics, Springer, vol. 11(2), pages 295-314, June.
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