Cascading failure modelling in global container shipping network using mass vessel trajectory data
文献类型：期刊论文
| 作者 | Xu, Yang5,6; Peng, Peng5,6; Claramunt, Christophe4,6; Lu, Feng1,2,5,6; Yan, Ran3 |
| 刊名 | RELIABILITY ENGINEERING & SYSTEM SAFETY
 |
| 出版日期 | 2024-09-01 |
| 卷号 | 249页码:110231 |
| 关键词 | Port Global Container shipping network Cascading failure Complex networks Vessel trajectory data |
| DOI | 10.1016/j.ress.2024.110231 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Port plays a key role in maintaining traffic flows and the effectiveness of global maritime logistics. However, the vulnerability of the Global Container Shipping Network (GCSN) is likely to increase when a single port interruption entails failures in cascading when ports encounter situations like congestions, labor strikes or natural disasters. Such situations require the deployment of port protection measures and adjustments of shipping schedules. This paper introduces a cascading model, which employs extensive and worldwide vessel trajectory data to comprehensively analyze the occurrence of cascading failures within a GCSN. The principles behind the cascading failure model are that port failures are simulated and the maritime traffic is redistributed and equilibrated to other routes and ports. A Motter-Lai overload model is applied, complemented by a three-level balanced redistribution of the traffic flows according to the specific roles of the disrupted ports. Overall, this favors the analysis of the GCSN's vulnerability, reliability, potential risks, and possible impacts. It enables maritime authorities and decision-makers to optimize service routes and mitigate the GCSN's vulnerability. |
| WOS关键词 | PORTS ; VULNERABILITY |
| WOS研究方向 | Engineering ; Operations Research & Management Science |
| WOS记录号 | WOS:001246917900001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/205271]  |
| 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.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 2.Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China 3.Nanyang Technol Univ, Sch Civil & Environm Engn, 50 Nanyang Ave, Singapore, Singapore 4.Naval Acad Res Inst, F-29240 Lanveoc, France 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Yang,Peng, Peng,Claramunt, Christophe,et al. Cascading failure modelling in global container shipping network using mass vessel trajectory data[J]. RELIABILITY ENGINEERING & SYSTEM SAFETY,2024,249:110231. |
| APA | Xu, Yang,Peng, Peng,Claramunt, Christophe,Lu, Feng,&Yan, Ran.(2024).Cascading failure modelling in global container shipping network using mass vessel trajectory data.RELIABILITY ENGINEERING & SYSTEM SAFETY,249,110231. |
| MLA | Xu, Yang,et al."Cascading failure modelling in global container shipping network using mass vessel trajectory data".RELIABILITY ENGINEERING & SYSTEM SAFETY 249(2024):110231. |
入库方式： OAI收割
来源：地理科学与资源研究所
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