Publications
7 results found
Achurra-Gonzalez PE, Angeloudis P, Goldbeck N, et al., 2019, Evaluation of port disruption impacts in the global liner shipping network, Journal of Shipping and Trade, Vol: 4, Pages: 1-21, ISSN: 2364-4575
The global container shipping network is vital to international trade. Current techniques for its vulnerability assessment are constrained due to the lack of historical disruption data and computational limitations due to typical network sizes. We address these modelling challenges by developing a new framework, composed by a game-theoretic attacker-defender model and a cost-based container assignment model that can identify systemic vulnerabilities in the network. Given its focus on logic and structure, the proposed framework has minimal input data requirements and does not rely on the presence of extensive historical disruption data. Numerical implementations are carried in a global-scale liner network where disruptions occur in Europe’s main container ports. Model outputs are used to establish performance baselines for the network and illus-trate the differences in regional vulnerability levels and port criticality rankings with different disruption magnitudes and flow diversion strategies. Sensitivity analysis of these outputs identifies network compo-nents that are more susceptible to lower levels of disruption which are more common in practice and to assess the effectiveness of component-level interventions seeking to increase the resilience of the system.
Zavitsas K, Zis T, Bell MGH, 2018, The impact of flexible environmental policy on maritime supply chain resilience, Transport Policy, Vol: 72, Pages: 116-128, ISSN: 0967-070X
As policy makers acknowledge the high degree of supply chain vulnerability and the impact of maritime emissions on coastal population health, there has been a consistent effort to strengthen maritime security and environmental regulations. In recent years, overdependence on deeper and wider multinational supply and production chains and lean-optimization has led to tightly integrated systems with little “slack” and high sensitivity to disruptions.This study considers the impact of Emission Control Areas and establishes a link between environmental and network resilience performance for maritime supply chains using operational cost andemissions cost metrics. The proposed methodological framework analyzes various abatement options, disruption intensities, fuel pricing instances and regulatory strategies. The methodology utilizes a minimum cost flow assignment and an arc velocity optimization model for vessel speed to establish the payoff for various network states. Additionally, an attacker defender game is set up to identify optimal regulatory strategies under various disruption scenarios. The results are complemented by a sensitivity analysis on emissions pricing, to better equip policy makers to manage environmental and resilience legislation. The methodology and findings provide a comprehensive analytic approach to optimize maritime supply chain performance beyond minimisation of operational costs, to also minimize exposure to costly supply chain disruptions.
Daina N, Latinopoulos C, Manca F, et al., 2018, An analysis of the joint dynamics of attitudes, intentions and behaviour in e-cycling, hEART 2018 - 7th Symposium of the European Association for Research in Transportation
Achurra Gonzalez PE, Angeloudis P, Zavitsas K, et al., 2017, Attacker-defender modelling of vulnerability in maritime logistics corridors, Advances in Shipping Data Analysis and Modeling: Tracking and Mapping Maritime Flows in the Age of Big Data, Editors: Ducruet, ISBN: 9781351985093
Achurra Gonzalez PE, Angeloudis P, Hu S, et al., 2017, Modelling the impact of infrastructure developments on the resilience of intermodal container transport networks: One-Belt-One-Road Case study, 7th International Conference on Logistics and Maritime Systems
Achurra Gonzalez PE, Angeloudis P, Zavitsas K, et al., 2017, A Quantitative Framework for Assessment of Network Vulnerability in Liner Shipping Networks, Transportation Research Board 96th Annual Meeting
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