中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Modelling the competitiveness of the ports along the Maritime Silk Road with big data

文献类型：期刊论文

作者Peng, Peng1,2; Yang, Yu2,3; Lu, Feng1,2,4,5; Cheng, Shifen1,2; Mou, Naixia6; Yang, Ren6
刊名TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
出版日期2018-12-01
卷号118页码:852-867
关键词Port competitiveness Maritime Silk Road Evaluation model Entropy-AHP method Vessel trajectory Maritime transport network
ISSN号0965-8564
DOI10.1016/j.tra.2018.10.041
通讯作者Yang, Yu(yangyu@igsnrr.ac.cn) ; Lu, Feng(luf@lreis.ac.cn)
英文摘要China's 21st Century Maritime Silk Road trade initiative includes investment in international port infrastructure. Comprehensive analysis of port competitiveness is of great significance for effectively guiding the flow of such resources. Conventional models mainly consider statistical indices for port operation, while neglecting the real operational status of these ports and their position in the changing global maritime transport network. To fill this gap in existing research, we designed a comprehensive evaluation CCPE model measuring port competitiveness by 18 factors related to conditions, capacity, potential, and efficiency using big data related to the geographical environment, cargo vessels trajectories, port infrastructure, and regional socioeconomics. This model was then used to evaluate the competitiveness of 99 ports in 51 countries along the Maritime Silk Road, with several important results. First, a port's status in the global maritime transport network was the most influential of all competitiveness indices. Second, competitive ports were mainly concentrated in the Mediterranean, the Suez Canal, and the Hormuz Strait, with Singapore, Marsaxlokk, and Algeciras ranking as the top three. The least competitive ports were mainly concentrated in East Africa, with Rangoon, Berbera, Lamu, Songkhla, Mtwara, and Sittwe ranking lowest. Third, port competitiveness was clearly polarized in that the most competitive ports stood far above all others due to significant gaps in their network status index.
WOS关键词CONTAINER-PORT ; BALANCED THEORY ; CHOICE ; EFFICIENCY ; CONNECTIVITY ; PERSPECTIVE
资助项目Key Project of the Chinese Academy of Sciences[ZDRW-ZS-2016-6-3] ; Natural Science Foundation of China[41871118] ; Strategic Priority Research Program of the CAS[XDA20040400] ; Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences[2016RC202]
WOS研究方向Business & Economics ; Transportation
语种英语
WOS记录号WOS:000452941000057
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构Key Project of the Chinese Academy of Sciences ; Natural Science Foundation of China ; Strategic Priority Research Program of the CAS ; Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/51476]  
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, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Fujian Collaborat Innovat Ctr Big Data Applicat G, Fuzhou 350003, Fujian, Peoples R China
5.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
6.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China
推荐引用方式
GB/T 7714		 Peng, Peng,Yang, Yu,Lu, Feng,et al. Modelling the competitiveness of the ports along the Maritime Silk Road with big data[J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE,2018,118:852-867.
APA Peng, Peng,Yang, Yu,Lu, Feng,Cheng, Shifen,Mou, Naixia,&Yang, Ren.(2018).Modelling the competitiveness of the ports along the Maritime Silk Road with big data.TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE,118,852-867.
MLA Peng, Peng,et al."Modelling the competitiveness of the ports along the Maritime Silk Road with big data".TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE 118(2018):852-867.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。