Maritime network dynamics before and after international events
文献类型：期刊论文
| 作者 | Fang Zhixiang1,3; Yu Hongchu1; Lu Feng2 ; Feng Mingxiang1; Huang Meng1
|
| 刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
 |
| 出版日期 | 2018-07-01 |
| 卷号 | 28期号:7页码:937-956 |
| ISSN号 | 1009-637X |
| 关键词 | global maritime network fluctuation dynamics international events spatiotemporal similarity |
| DOI | 10.1007/s11442-018-1514-9 |
| 通讯作者 | Yu Hongchu(hongshuxifan8140@163.com) |
| 英文摘要 | Investigating 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. |
| WOS关键词 | LINER SHIPPING NETWORK ; BAYESIAN NETWORK ; K-MEANS ; PORT CONNECTIVITY ; SUPPLY CHAIN ; TRANSPORT ; VULNERABILITY ; ALGORITHM ; CLUSTER ; FLOWS |
| 资助项目 | Key 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] |
| WOS研究方向 | Physical Geography |
| 语种 | 英语 |
| 出版者 | SCIENCE PRESS |
| WOS记录号 | WOS:000433356100005 |
| 资助机构 | Key Project of the Chinese Academy of Sciences ; National Key Research and Development Program of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54858]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yu Hongchu |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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