Global oil traffic network and diffusion of influence among ports using real time data
文献类型：期刊论文
| 作者 | Peng, Peng1,2; Poon, Jessie P. H.3; Yang, Yu2,4 ; Lu, Feng1,2,5,6; Cheng, Shifen1,2
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| 刊名 | ENERGY
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| 出版日期 | 2019-04-01 |
| 卷号 | 172页码:333-342 |
| ISSN号 | 0360-5442 |
| 关键词 | Global oil traffic networks Automatic identification system Ports Modified liner threshold model Influence diffusion |
| DOI | 10.1016/j.energy.2019.01.118 |
| 通讯作者 | Yang, Yu(yangyu@igsnrr.ac.cn) ; Lu, Feng(luf@lreis.ac.cn) |
| 英文摘要 | This paper seeks to shed light on how ports spread their influence through propagatory activation of other ports in the global oil traffic network from 2009 to 2016. Using a modified linear threshold model, the paper does not attempt to identify a few fixed ports that served as "seeds" for propagation and influence maximization. Instead it identifies active seed port hubs via their diffusion patterns and the number of ports in the networks that become influenced as a result. The computations show that diffusion is highly uneven but Rotterdam, Antwerp and Singapore emerged as the three most influential seed ports particularly in 2013 and 2016. Whereas over half of the ports in the networks were able to influence just one other port, Rotterdam and Antwerp influenced ports in the entire network. Singapore's spread of influence is smaller but its activation rate is more rapid because the port-city's influence tends to be much more regionally confined. Rotterdam's propagation occurs in fewer stages than Antwerp's suggesting that information and innovation spread more readily from the former city-port. Taken together, the analysis points to the above three city-ports as the most effective hubs for dissemination of information in the oil, including tanker, industry. (C) 2019 Elsevier Ltd. All rights reserved. |
| WOS关键词 | COMPLEX NETWORK ; INFLUENCE MAXIMIZATION ; INFORMATION DIFFUSION ; TRADE ; PERSPECTIVE ; CENTRALITY ; EVOLUTION |
| 资助项目 | Key Project of the Chinese Academy of Sciences[ZDRW-ZS-2016-6-3] ; National Natural Science Foundation of China[41871118] ; National Natural Science Foundation of China[41842056] ; Strategic Priority Research Program of the CAS[XDA20040400] ; Excellent Young Scientist Foundation[2016RC202] |
| WOS研究方向 | Thermodynamics ; Energy & Fuels |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000464488100026 |
| 资助机构 | Key Project of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Strategic Priority Research Program of the CAS ; Excellent Young Scientist Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/48075]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Yu; 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.SUNY Buffalo, Dept Geog, Buffalo, NY 14261 USA 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 5.Fuzhou Univ, Spatial Informat Res Ctr Fujian Prov, Fuzhou 350002, Fujian, Peoples R China 6.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Peng, Peng,Poon, Jessie P. H.,Yang, Yu,et al. Global oil traffic network and diffusion of influence among ports using real time data[J]. ENERGY,2019,172:333-342. |
| APA | Peng, Peng,Poon, Jessie P. H.,Yang, Yu,Lu, Feng,&Cheng, Shifen.(2019).Global oil traffic network and diffusion of influence among ports using real time data.ENERGY,172,333-342. |
| MLA | Peng, Peng,et al."Global oil traffic network and diffusion of influence among ports using real time data".ENERGY 172(2019):333-342. |
入库方式： OAI收割
来源：地理科学与资源研究所
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