Modelling the impact of liner shipping network perturbations on container cargo routing: Southeast Asia to Europe application

Pablo E. Achurra-Gonzalez*, Matteo Novati, Roxane Foulser-Piggott, Daniel J. Graham, Gary Bowman, Michael G H Bell, Panagiotis Angeloudis

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

26 Citations (Scopus)
352 Downloads (Pure)

Abstract

Understanding how container routing stands to be impacted by different scenarios of liner shipping network perturbations such as natural disasters or new major infrastructure developments is of key importance for decision-making in the liner shipping industry. The variety of actors and processes within modern supply chains and the complexity of their relationships have previously led to the development of simulation-based models, whose application has been largely compromised by their dependency on extensive and often confidential sets of data. This study proposes the application of optimisation techniques less dependent on complex data sets in order to develop a quantitative framework to assess the impacts of disruptive events on liner shipping networks. We provide a categorization of liner network perturbations, differentiating between systemic and external and formulate a container assignment model that minimises routing costs extending previous implementations to allow feasible solutions when routing capacity is reduced below transport demand. We develop a base case network for the Southeast Asia to Europe liner shipping trade and review of accidents related to port disruptions for two scenarios of seismic and political conflict hazards. Numerical results identify alternative routing paths and costs in the aftermath of port disruptions scenarios and suggest higher vulnerability of intra-regional connectivity.

Original languageEnglish
Pages (from-to)399-410
Number of pages12
JournalAccident Analysis and Prevention
Volume123
Early online date30 Jun 2015
DOIs
Publication statusPublished - 1 Feb 2019

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