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

doi:10.1016/j.ocecoaman.2024.107126

	Structural analysis and vulnerability assessment of the European LNG maritime supply chain network (2018-2020)
	Mei, Qiang 1,2; Hu, Qinyou 1; Hu, Yu 3; Yang, Yang 4; Liu, Xiliang 5; Huang, Zishuo 1; Wang, Peng 1,6
	2024-07-01
发表期刊	OCEAN & COASTAL MANAGEMENT
ISSN	0964-5691
卷号	253 页码:20
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.
关键词	Liquefied natural gas Supply chain security Maritime transportation network Vulnerability Community evolution Graph deep learning
DOI	10.1016/j.ocecoaman.2024.107126
收录类别	SCI
语种	英语
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
WOS类目	Oceanography ; Water Resources
WOS记录号	WOS:001226427600001
出版者	ELSEVIER SCI LTD
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40087
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.