Multi-objective resilience-oriented optimisation for the global container shipping network against cascading failures

作者：Yuhao Cao, Xuri Xin, Xinjian Wang, Jin Wang, Zaili Yang · 发表于：Transportation Research Part A Policy and Practice · 年份：2025 · DOI：10.1016/j.tra.2025.104659 · 被引用次数：9 · 研究领域：Supply Chain Resilience and Risk Management、Infrastructure Resilience and Vulnerability Analysis、Maritime Ports and Logistics

• A new multi-objective stepwise optimisation framework for proactive resilience maintenance against cascading failures in the GCSN. • Solution to complex cargo redistribution in the GCSN concerning the economic efficiency, functionality, and structural completeness. • New load redistribution strategies for the GCSN to mitigate the cascading effects when being disrupted. • Extensive simulations and case studies for model validation and practical insights across 21 major global ports. Disruptive events at ports (e.g., epidemics, natural hazards and regional conflicts) continuously challenge the stability of cargo flows, leading to cascading failures that significantly undermine the resilience of global shipping networks. To address these challenges, this study proposes a new Multi-objective Stepwise Optimisation (MSO) framework that can aid decision-makers in maintaining resilience against cascading failures. Specifically, this study first formulates multiple objectives aimed at minimising adverse impacts on maritime stakeholders by reducing transit time, alleviating port overload, and preserving the network’s structural completeness. Then, to explore ideal load redistribution strategies mitigating the cascading effects, a Stepwise Cascading Mitigation (SCM) model is newly developed. In this model, all feasible target ports are identified, followed by an iterative algorithm applied to determine the equilibrium volumes of load redistributed to each target. An evolutionary proce...