Analyze and process big data to research the competitiveness of urban ports in the Guangdong-Hong Kong-Macao Greater Bay Area

被引:0
|
作者
Liu, Yuhui [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China
关键词
competitiveness of urban ports; AIS data; complex network; Borda Count; the Guangdong-Hong Kong-Macao Greater Bay Area;
D O I
10.1117/12.2625582
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Port competitiveness refers to the port's ability to compete for various resources, which reflects the port's position in the region. A correct assessment of port competitiveness will help to better promote the coordinated development of ports and enable ports to participate more deeply in the national development strategy plan, thereby contributing to the sustainable development of ports and hinterland cities. Based on the Automatic Identification System (AIS) data, this paper uses the complex network method to calculate the complex network indicators of 11 urban ports in the Guangdong-Hong Kong-Macao Greater Bay Area, and then uses Borda Count to rank the port competitiveness of the 11 ports. The results of the study show that the ports of Hong Kong, Macao, Guangzhou and Shenzhen in the Greater Bay Area have superior positions and are highly competitive in the internal and external conditions of the ports and in the route network. They are important hubs for the "Belt and Road" construction. Other countries or the port can give priority to cooperating with it. The ports of Jiangmen, Zhongshan and Zhaoqing, which are less competitive, can enhance their competitiveness by improving the investment environment and port operation capabilities.
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页数:7
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