Resilience of the global maritime LNG network: From static Bow-tie to dynamic SIR modeling
文献类型：期刊论文
| 作者 | Xu, Yang1,2; Peng, Peng1,2; Claramunt, Christophe1,3; Qian, Jiale4; Lu, Feng1,2,5,6 |
| 刊名 | RELIABILITY ENGINEERING & SYSTEM SAFETY
 |
| 出版日期 | 2026 |
| 卷号 | 265页码:111605 |
| 关键词 | LNG transport network Resilience assessment Complex networks Vessel trajectory data LNG transport network Resilience assessment Complex networks Vessel trajectory data |
| ISSN号 | 0951-8320 |
| DOI | 10.1016/j.ress.2025.111605 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The transport security of liquefied natural gas (LNG) is a major challenge in global energy supply chains. Understanding the impact of port disruptions and strengthening the system's resilience are critical to ensuring global energy trade. This paper introduces a comprehensive framework for assessing the resilience of the LNG transport network. First, we construct a directed and weighted network model of the LNG transport system, and apply multidimensional centrality measures to evaluate the importance of individual ports. Next, we assess changes in the network structure caused by intentional port node disruptions, employing a Bow-tie network structure analysis. Additionally, we introduce a novel weighted network efficiency metric that incorporates link directionality and weight to assess the static resilience of the network. Furthermore, we develop an SIR (Susceptible, Infected, Recovered) transmission model that integrates relative weighted influence metrics for each port to showcase the dynamic spread of risk following a disruption at a port node. Finally, a dynamic resilience assessment framework leverages several key metrics to enhance a better understanding of the resilience of critical LNG transit ports. Our modeling methodology and evaluation framework offer a theoretical foundation for stakeholders to mitigate unexpected risks and safeguard against the diffusion of disruption risk. |
| URL标识 | 查看原文 |
| WOS关键词 | TRADE ; MARKETS ; CENTRALITY ; PATTERN ; FLOWS ; CHINA |
| WOS研究方向 | Engineering ; Operations Research & Management Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001603849400003 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217803]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Peng, Peng |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Naval Acad Res Inst, F-29240 Lanveoc, France; 4.Tsinghua Univ, Sch Publ Policy & Management, Beijing, Peoples R China; 5.Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China; 6.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Yang,Peng, Peng,Claramunt, Christophe,et al. Resilience of the global maritime LNG network: From static Bow-tie to dynamic SIR modeling[J]. RELIABILITY ENGINEERING & SYSTEM SAFETY,2026,265:111605. |
| APA | Xu, Yang,Peng, Peng,Claramunt, Christophe,Qian, Jiale,&Lu, Feng.(2026).Resilience of the global maritime LNG network: From static Bow-tie to dynamic SIR modeling.RELIABILITY ENGINEERING & SYSTEM SAFETY,265,111605. |
| MLA | Xu, Yang,et al."Resilience of the global maritime LNG network: From static Bow-tie to dynamic SIR modeling".RELIABILITY ENGINEERING & SYSTEM SAFETY 265(2026):111605. |
入库方式： OAI收割
来源：地理科学与资源研究所
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