SOM neural network-based port function analysis: a case study in 21st-century Maritime Silk Road
The 21st-century Maritime Silk Road initiative by the Chinese government has garnered growing global attention. As pivotal facilitators of international trade, the maritime routes and ports along this route are attracting the interest of various stakeholders. There is a pressing need for extensive r...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1522071/full |
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| author | Fahao Xie Le Zhang Shanshui Zheng Aijun Xu Zhitao Li Jiaxin Dai Lang Xu |
| author_facet | Fahao Xie Le Zhang Shanshui Zheng Aijun Xu Zhitao Li Jiaxin Dai Lang Xu |
| author_sort | Fahao Xie |
| collection | DOAJ |
| description | The 21st-century Maritime Silk Road initiative by the Chinese government has garnered growing global attention. As pivotal facilitators of international trade, the maritime routes and ports along this route are attracting the interest of various stakeholders. There is a pressing need for extensive research to augment the existing theoretical frameworks. This paper introduces a Self-Organizing Map (SOM) neural network-based methodology for port function clustering, applied to 24 major ports spanning from the South China Sea to the ASEAN region in 2023. The clustering outcomes are cross-validated against port rankings derived from Principal Component Analysis. The study reveals several key insights: (1) Singapore Port, Hong Kong Port, Shenzhen Port, and Guangzhou Port emerge as the principal shipping hubs within the region; (2) The relationship between China and Singapore is identified as a linchpin for the sustainable development of the 21st-century Maritime Silk Road; (3) Guangdong Province is highlighted as a central economic and logistical node. Finally, the recommendations for the accelerated development of the Hainan Free Trade Port and Fujian Coastal Port is concluded. |
| format | Article |
| id | doaj-art-e8cc954f83ee469dbb4658a13336ace6 |
| institution | Kabale University |
| issn | 2296-7745 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj-art-e8cc954f83ee469dbb4658a13336ace62025-01-15T05:11:11ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452025-01-011110.3389/fmars.2024.15220711522071SOM neural network-based port function analysis: a case study in 21st-century Maritime Silk RoadFahao Xie0Le Zhang1Shanshui Zheng2Aijun Xu3Zhitao Li4Jiaxin Dai5Lang Xu6School of Transport and Logistics, Guangzhou Railway Polytechnic, Guangzhou, ChinaSchool of Transport and Logistics, Guangzhou Railway Polytechnic, Guangzhou, ChinaSchool of Transport and Logistics, Guangzhou Railway Polytechnic, Guangzhou, ChinaSchool of Transport and Logistics, Guangzhou Railway Polytechnic, Guangzhou, ChinaSchool of Transport and Logistics, Guangzhou Railway Polytechnic, Guangzhou, ChinaSchool of Transport and Logistics, Guangzhou Railway Polytechnic, Guangzhou, ChinaSchool of Transport and Communications, Shanghai Maritime University, Shanghai, ChinaThe 21st-century Maritime Silk Road initiative by the Chinese government has garnered growing global attention. As pivotal facilitators of international trade, the maritime routes and ports along this route are attracting the interest of various stakeholders. There is a pressing need for extensive research to augment the existing theoretical frameworks. This paper introduces a Self-Organizing Map (SOM) neural network-based methodology for port function clustering, applied to 24 major ports spanning from the South China Sea to the ASEAN region in 2023. The clustering outcomes are cross-validated against port rankings derived from Principal Component Analysis. The study reveals several key insights: (1) Singapore Port, Hong Kong Port, Shenzhen Port, and Guangzhou Port emerge as the principal shipping hubs within the region; (2) The relationship between China and Singapore is identified as a linchpin for the sustainable development of the 21st-century Maritime Silk Road; (3) Guangdong Province is highlighted as a central economic and logistical node. Finally, the recommendations for the accelerated development of the Hainan Free Trade Port and Fujian Coastal Port is concluded.https://www.frontiersin.org/articles/10.3389/fmars.2024.1522071/full21st-century Maritime Silk RoadSOM neural networkport function analysisprincipal component analysisSouth China Sea to the ASEAN |
| spellingShingle | Fahao Xie Le Zhang Shanshui Zheng Aijun Xu Zhitao Li Jiaxin Dai Lang Xu SOM neural network-based port function analysis: a case study in 21st-century Maritime Silk Road Frontiers in Marine Science 21st-century Maritime Silk Road SOM neural network port function analysis principal component analysis South China Sea to the ASEAN |
| title | SOM neural network-based port function analysis: a case study in 21st-century Maritime Silk Road |
| title_full | SOM neural network-based port function analysis: a case study in 21st-century Maritime Silk Road |
| title_fullStr | SOM neural network-based port function analysis: a case study in 21st-century Maritime Silk Road |
| title_full_unstemmed | SOM neural network-based port function analysis: a case study in 21st-century Maritime Silk Road |
| title_short | SOM neural network-based port function analysis: a case study in 21st-century Maritime Silk Road |
| title_sort | som neural network based port function analysis a case study in 21st century maritime silk road |
| topic | 21st-century Maritime Silk Road SOM neural network port function analysis principal component analysis South China Sea to the ASEAN |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2024.1522071/full |
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