A fine-grained perspective on the robustness of global cargo ship transportation networks

doi:10.1007/s11442-018-1511-z

	A fine-grained perspective on the robustness of global cargo ship transportation networks
	Peng Peng 1,2; Cheng Shifen 1,2; Chen Jinhai 3,4; Liao Mengdi 5; Wu Lin 6; Liu Xiliang 1,7; Lu Feng 1,7,8
	2018-07-01
发表期刊	JOURNAL OF GEOGRAPHICAL SCIENCES
ISSN	1009-637X
卷号	28 期号:7 页码:881-899
摘要	The robustness of cargo ship transportation networks is essential to the stability of the world trade system. The current research mainly focuses on the coarse-grained, holistic cargo ship transportation network while ignoring the structural diversity of different sub-networks. In this paper, we evaluate the robustness of the global cargo ship transportation network based on the most recent Automatic Identification System (AIS) data available. First, we subdivide three typical cargo ship transportation networks (i.e., oil tanker, container ship and bulk carrier) from the original cargo ship transportation network. Then, we design statistical indices based on complex network theory and employ four attack strategies, including random attack and three intentional attacks (i.e., degree-based attack, betweenness- based attack and flux-based attack) to evaluate the robustness of the three typical cargo ship transportation networks. Finally, we compare the integrity of the remaining ports of the network when a small proportion of ports lose their function. The results show that 1) compared with the holistic cargo ship transportation network, the fine-grain-based cargo ship transportation networks can fully reflect the pattern and process of global cargo transportation; 2) different cargo ship networks behave heterogeneously in terms of their robustness, with the container network being the weakest and the bulk carrier network being the strongest; and 3) small-scale intentional attacks may have significant influence on the integrity of the container network but a minor impact on the bulk carrier and oil tanker transportation networks. These conclusions can help improve the decision support capabilities in maritime transportation planning and emergency response and facilitate the establishment of a more reliable maritime transportation system.
关键词	complex network fine-grained cargo ship transportation network robustness automatic identification system
DOI	10.1007/s11442-018-1511-z
收录类别	SCI
语种	英语
资助项目	Key Project of the Chinese Academy of Sciences[ZDRW-ZS-2016-6-3] ; National Natural Science Foundation of China[41501490]
WOS研究方向	Physical Geography
WOS类目	Geography, Physical
WOS记录号	WOS:000433356100002
出版者	SCIENCE PRESS
引用统计	被引频次：78[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/2XEOYT63/5219
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Lu Feng
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.Jimei Univ, Nav Aids Technol Res Ctr, Xiamen 361021, Fujian, Peoples R China 4.Natl & Local Joint Engn Res Ctr Marine Nav Aids S, Xiamen 361021, Fujian, Peoples R China 5.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Shandong, Peoples R China 6.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 7.Fujian Collaborat Innovat Ctr Big Data Applicat G, Fuzhou 350003, Fujian, Peoples R China 8.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Peng Peng,Cheng Shifen,Chen Jinhai,et al. A fine-grained perspective on the robustness of global cargo ship transportation networks[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2018,28(7):881-899.
APA	Peng Peng.,Cheng Shifen.,Chen Jinhai.,Liao Mengdi.,Wu Lin.,...&Lu Feng.(2018).A fine-grained perspective on the robustness of global cargo ship transportation networks.JOURNAL OF GEOGRAPHICAL SCIENCES,28(7),881-899.
MLA	Peng Peng,et al."A fine-grained perspective on the robustness of global cargo ship transportation networks".JOURNAL OF GEOGRAPHICAL SCIENCES 28.7(2018):881-899.