Evolutionary patterns in LNG maritime port communities using a high-order temporal analysis
文献类型：期刊论文
| 作者 | Yang, Yi7,8; Peng, Peng7,8; Claramunt, Christophe6,8; Shi, Jing5; Xu, Yang7,8; Li, Sijin3,4; Lu, Feng1,2,7,8 |
| 刊名 | TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
 |
| 出版日期 | 2026-06-01 |
| 卷号 | 210页码:104824 |
| 关键词 | Port trade clusters LNG Temporal networks Hypergraphs Vessel trajectory data |
| ISSN号 | 1366-5545 |
| DOI | 10.1016/j.tre.2026.104824 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Liquefied natural gas (LNG) shipping is a sensitive barometer of geopolitical shifts: changes in shipping routes between ports reveal how trade alliances are being restructured. We propose a higher-order temporal network framework to track cooperation between global LNG ports and quantify how these relationships respond to major events. Using global vessel trajectory data from 2022 to 2023, we infer port-level cooperation trends, track the formation/dissolution of port clusters and contract renewals. The results show that 88.2% of countries renewed existing partnerships, and stronger cooperation intentions contribute to stabilizing port cluster structures. We propose the RPI index, which shows high correlation with the Energy Security Index in developed countries. The RPI quantifies the extent to which countries are affected by the Russia-Ukraine conflict, with countries having military/trade cooperation with Russia or developing countries adjacent to the US exhibiting extremely high RPI values. It can also be used to illustrate the division of labour among ports within the same country. Furthermore, the results indicate that exporting countries are seeking new markets; the US and Russia increased their connections with new partners by 8.2% and 2.7%, respectively, while transshipment patterns in Europe also changed, particularly in Spain and France. Overall, the proposed framework provides an eventaware perspective for detecting restructuring in the LNG supply chain and offers quantitative support for policy making in the global LNG shipping network. |
| URL标识 | 查看原文 |
| WOS关键词 | IMPACT ; TRADE |
| WOS研究方向 | Business & Economics ; Engineering ; Operations Research & Management Science ; Transportation |
| 语种 | 英语 |
| WOS记录号 | WOS:001729751900001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221522]  |
| 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.Nanjing Normal Univ, State Key Lab Climate Syst Predict & Risk Manageme, Nanjing 210023, Peoples R China; 4.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China; 5.China Transport Telecommun & Informat Ctr, Beijing 100011, Peoples R China; 6.Naval Acad Res Inst, F-29240 Lanveoc, France; 7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 8.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 | Yang, Yi,Peng, Peng,Claramunt, Christophe,et al. Evolutionary patterns in LNG maritime port communities using a high-order temporal analysis[J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW,2026,210:104824. |
| APA | Yang, Yi.,Peng, Peng.,Claramunt, Christophe.,Shi, Jing.,Xu, Yang.,...&Lu, Feng.(2026).Evolutionary patterns in LNG maritime port communities using a high-order temporal analysis.TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW,210,104824. |
| MLA | Yang, Yi,et al."Evolutionary patterns in LNG maritime port communities using a high-order temporal analysis".TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW 210(2026):104824. |
入库方式： OAI收割
来源：地理科学与资源研究所
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