A Critical Examination for Widespread Usage of Shipping Big Data Analytics in China
文献类型:期刊论文
作者 | Chen, Jinhai3; Chang, Siheng3; Zhang, Pengfei3; Chen, Qiong3; Peng, Peng2; Claramunt, Christophe1 |
刊名 | JOURNAL OF MARINE SCIENCE AND ENGINEERING
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出版日期 | 2022-12-01 |
卷号 | 10期号:12页码:19 |
关键词 | big data analytics maritime transport utilization of maritime big data Chinese maritime industry |
DOI | 10.3390/jmse10122009 |
通讯作者 | Zhang, Pengfei(shippinglaw@163.com) |
英文摘要 | Big Data Analytics (BDA) provides valuable opportunities for the optimization of maritime shipping management and operations. This might have a significant and beneficial impact on the Chinese maritime industry, which has recently emerged as a prominent player on the global stage due to the fast development of its maritime infrastructures and economical opportunities. This paper introduces two-field research conducted by a web-based questionnaire survey and semi-structured interviews with a large number of stakeholders in the maritime sector. The analyses show the impact of the development of big data technologies as well as current obstacles which constrain their deployment in the global maritime sector. The paper finally suggests several directions for promoting the wide-scale utilization of BDA in the maritime industry. |
WOS关键词 | AUTOMATIC IDENTIFICATION SYSTEM ; OPPORTUNITIES ; CONSTRUCTION ; PERFORMANCE ; CHALLENGES ; IMPACT |
资助项目 | National Social Science Foundation of China[22AZD108] ; Key Project of Soft Science Research of Science and Technology Innovation Action Plan of Shanghai[20692108700] ; National Natural Science Foundation of China[42001391] ; Chinese Academy of Sciences President's International Fellowship Initiative[2021VTA0002] ; Chinese Academy of Sciences |
WOS研究方向 | Engineering ; Oceanography |
语种 | 英语 |
WOS记录号 | WOS:000902481200001 |
出版者 | MDPI |
资助机构 | National Social Science Foundation of China ; Key Project of Soft Science Research of Science and Technology Innovation Action Plan of Shanghai ; National Natural Science Foundation of China ; Chinese Academy of Sciences President's International Fellowship Initiative ; Chinese Academy of Sciences |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/188324] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Zhang, Pengfei |
作者单位 | 1.Naval Acad Res Inst, F-29160 Brest, France 2.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Jimei Univ, Nav Coll, Xiamen 361021, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Jinhai,Chang, Siheng,Zhang, Pengfei,et al. A Critical Examination for Widespread Usage of Shipping Big Data Analytics in China[J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING,2022,10(12):19. |
APA | Chen, Jinhai,Chang, Siheng,Zhang, Pengfei,Chen, Qiong,Peng, Peng,&Claramunt, Christophe.(2022).A Critical Examination for Widespread Usage of Shipping Big Data Analytics in China.JOURNAL OF MARINE SCIENCE AND ENGINEERING,10(12),19. |
MLA | Chen, Jinhai,et al."A Critical Examination for Widespread Usage of Shipping Big Data Analytics in China".JOURNAL OF MARINE SCIENCE AND ENGINEERING 10.12(2022):19. |
入库方式: OAI收割
来源:地理科学与资源研究所
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