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Maritime network dynamics before and after international events
Fang Zhixiang1,3; Yu Hongchu1; Lu Feng2; Feng Mingxiang1; Huang Meng1
2018-07-01
Source PublicationJOURNAL OF GEOGRAPHICAL SCIENCES
ISSN1009-637X
Volume28Issue:7Pages:937-956
Corresponding AuthorYu Hongchu(hongshuxifan8140@163.com)
AbstractInvestigating the influence of international events on global maritime networks is a challenging task that must comprehensively incorporate geographical, political, and maritime sciences. Understanding global maritime network dynamics is an initial and critical step in this investigation. This study proposes an automatic identification system (AIS)-based approach to understanding maritime network dynamics before and after international events. In this approach, a spatiotemporal modeling method is introduced to measure the similarity in shipping trends before and after international events. Then, a spatiotemporal analytic framework is proposed to understand the maritime network dynamics by grouping similar situation, and assessing possible indirect effects within a network. Finally, three case studies of international events, military conflict, lifted economic sanctions, and government elections, were used to investigate the observed network dynamics possibly affected by international events. The results indicate that container, tanker, and bulk shipping between India and its connected countries all declined more than 69% after military conflicts between India and Pakistan in August 2015. Tanker shipping between Iran and the United Arab Emirates increased 51% after economic sanctions on Iran were lifted. Container shipping between Sri Lanka and Singapore, Malaysia, and India increased more than 74% after the general election in Sri Lanka. These investigations demonstrate the feasibility of the proposed approach in assessing the possible effects of international events on maritime network dynamics.
Keywordglobal maritime network fluctuation dynamics international events spatiotemporal similarity
DOI10.1007/s11442-018-1514-9
WOS KeywordLINER SHIPPING NETWORK ; BAYESIAN NETWORK ; K-MEANS ; PORT CONNECTIVITY ; SUPPLY CHAIN ; TRANSPORT ; VULNERABILITY ; ALGORITHM ; CLUSTER ; FLOWS
Indexed BySCI
Language英语
Funding ProjectKey Project of the Chinese Academy of Sciences[ZDRW-ZS-2016-6-3] ; National Key Research and Development Program of China[2017YFB0503802] ; National Natural Science Foundation of China[40971233] ; National Natural Science Foundation of China[41771473]
Funding OrganizationKey Project of the Chinese Academy of Sciences ; National Key Research and Development Program of China ; National Natural Science Foundation of China
WOS Research AreaPhysical Geography
WOS SubjectGeography, Physical
WOS IDWOS:000433356100005
PublisherSCIENCE PRESS
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54859
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYu Hongchu
Affiliation1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China
Recommended Citation
GB/T 7714
Fang Zhixiang,Yu Hongchu,Lu Feng,et al. Maritime network dynamics before and after international events[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2018,28(7):937-956.
APA Fang Zhixiang,Yu Hongchu,Lu Feng,Feng Mingxiang,&Huang Meng.(2018).Maritime network dynamics before and after international events.JOURNAL OF GEOGRAPHICAL SCIENCES,28(7),937-956.
MLA Fang Zhixiang,et al."Maritime network dynamics before and after international events".JOURNAL OF GEOGRAPHICAL SCIENCES 28.7(2018):937-956.
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