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Structural analysis and vulnerability assessment of the European LNG maritime supply chain network (2018-2020)

文献类型：期刊论文

作者Mei, Qiang1,2; Hu, Qinyou1; Hu, Yu3; Yang, Yang4; Liu, Xiliang5; Huang, Zishuo1; Wang, Peng1,6
刊名OCEAN & COASTAL MANAGEMENT
出版日期2024-07-01
卷号253页码:20
关键词Liquefied natural gas Supply chain security Maritime transportation network Vulnerability Community evolution Graph deep learning
ISSN号0964-5691
DOI10.1016/j.ocecoaman.2024.107126
英文摘要With the proposal of the development goals for pollution control, the use of liquefied natural gas (LNG) as a clean and low-carbon energy source has received huge attention in the European energy market. This study examines the European LNG maritime supply chain network's structural evolution from 2018 to 2020 using AIS data. Our analysis reveals a marked quantitative increase in the network's scale, with European shipments climbing from 695 to 1337 and cargo volumes soaring from 40,101,000 tons to 87,129,740 tons, signifying annual growth rates of 92.4% and 117.3%, respectively. A graph deep learning approach unveiled enhanced connectivity and community consolidation among European LNG ports despite the dispersion suggested by a slight density decrease from 0.192 to 0.185. Simulated attack scenarios indicate heightened network robustness in 2020, yet emphasize the criticality of safeguarding nodes like Sebatta against targeted disruptions. Addressing these insights, we propose policies focused on energy diversification, fortified port security, and adaptive governance to bolster the network's resilience amidst dynamic global conditions. Our study thus offers a strategic framework for managing energy trade complexity, acknowledging the need for further research on the geopolitical impact on network dynamics and vulnerability.
资助项目National Natural Science Foundation of China[52372316] ; Natural Science Foundation of Fujian Province[2021J01821] ; Natural Science Foundation of Fujian Province[2023J01804] ; Shanghai Science and Technology CommitteeFoundation[18DZ1206300]
WOS研究方向Oceanography ; Water Resources
语种英语
WOS记录号WOS:001226427600001
出版者ELSEVIER SCI LTD
源URL[http://119.78.100.204/handle/2XEOYT63/40086]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Hu, Qinyou; Wang, Peng
作者单位1.Shanghai Maritime Univ, Merchant Marine Acad, Shanghai 200210, Peoples R China
2.Jimei Univ, Nav Coll, Xiamen 361021, Peoples R China
3.Xiamen Inst Data Intelligence, Xiamen 361021, Peoples R China
4.East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China
5.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
6.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Mei, Qiang,Hu, Qinyou,Hu, Yu,et al. Structural analysis and vulnerability assessment of the European LNG maritime supply chain network (2018-2020)[J]. OCEAN & COASTAL MANAGEMENT,2024,253:20.
APA Mei, Qiang.,Hu, Qinyou.,Hu, Yu.,Yang, Yang.,Liu, Xiliang.,...&Wang, Peng.(2024).Structural analysis and vulnerability assessment of the European LNG maritime supply chain network (2018-2020).OCEAN & COASTAL MANAGEMENT,253,20.
MLA Mei, Qiang,et al."Structural analysis and vulnerability assessment of the European LNG maritime supply chain network (2018-2020)".OCEAN & COASTAL MANAGEMENT 253(2024):20.

入库方式： OAI收割

来源：计算技术研究所

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