{"title":"Crude oil maritime transportation network resilience assessment based on optimal strategies","authors":"Wan Su, Lingye Zhang, Jing Lu, Jie Zhu","doi":"10.1016/j.trd.2025.104659","DOIUrl":null,"url":null,"abstract":"<div><div>Geopolitical tensions and global supply chain disruptions underscore the need to assess and strengthen resilience in shipping networks. This study develops an optimization model that determines the optimal sequences of node disruptions and recoveries, capturing both maximum resistance and recovery capacities of the crude oil maritime transportation network. By simulating traffic redistribution under transportation efficiency constraints, the model quantifies how disruptions propagate and how swift recoveries can be achieved. Applied to an actual network constructed using tanker AIS and crude oil trade data, the model outperforms traditional strategies in minimizing losses during disruptions and accelerating recovery. Sensitivity analysis reveals that cumulative disruptions at minor nodes can exceed the impact of a single major chokepoint. Additionally, the sequence of recovery does not necessarily align with the disruption sequence. These findings can guide stakeholders in prioritizing interventions and formulating robust disaster response strategies for maritime transportation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104659"},"PeriodicalIF":7.3000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925000690","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Geopolitical tensions and global supply chain disruptions underscore the need to assess and strengthen resilience in shipping networks. This study develops an optimization model that determines the optimal sequences of node disruptions and recoveries, capturing both maximum resistance and recovery capacities of the crude oil maritime transportation network. By simulating traffic redistribution under transportation efficiency constraints, the model quantifies how disruptions propagate and how swift recoveries can be achieved. Applied to an actual network constructed using tanker AIS and crude oil trade data, the model outperforms traditional strategies in minimizing losses during disruptions and accelerating recovery. Sensitivity analysis reveals that cumulative disruptions at minor nodes can exceed the impact of a single major chokepoint. Additionally, the sequence of recovery does not necessarily align with the disruption sequence. These findings can guide stakeholders in prioritizing interventions and formulating robust disaster response strategies for maritime transportation.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.