{"title":"东北亚主要集装箱港口国际连通性分析","authors":"P. Nguyen, Hwayoung Kim","doi":"10.1108/mabr-01-2022-0004","DOIUrl":null,"url":null,"abstract":"PurposeThis study aims to identify the characteristics of the maritime shipping network in Northeast Asia as well as compare the level of port connectivity among these container ports in the region. In addition, this study analyses the change in role and position of 20 ports in the region by clustering these ports based on connectivity index and container throughput and route index.Design/methodology/approachThis study employs Social Network Analysis (SNA) to delineate the international connectivity of major container ports in Northeast Asia. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to identify each port's connectivity index and container throughput index, and the resulting indexes are employed as the basis to cluster 20 major ports by fuzzy C-mean (FCM).FindingsThe results revealed that Northeast Asia is a highly connected maritime shipping network with the domination of Shanghai, Shenzhen, Hong Kong and Busan. Furthermore, both container throughput and connectivity in almost all container ports in the region have decreased significantly due to the coronavirus disease 2019 (COVID-19) pandemic. The rapid growth of Shenzhen and Ningbo has allowed them to join Cluster 1 with Shanghai while maintaining high connectivity, yet decreasing container throughput has pushed Busan down to Cluster 2.Originality/valueThe originality of this study is to combine indexes of SNA into connectivity index reflecting characteristics of the maritime shipping network in Northeast Asia and categorize 20 major ports by FCM.","PeriodicalId":43865,"journal":{"name":"Maritime Business Review","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analyzing the international connectivity of the major container ports in Northeast Asia\",\"authors\":\"P. Nguyen, Hwayoung Kim\",\"doi\":\"10.1108/mabr-01-2022-0004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThis study aims to identify the characteristics of the maritime shipping network in Northeast Asia as well as compare the level of port connectivity among these container ports in the region. In addition, this study analyses the change in role and position of 20 ports in the region by clustering these ports based on connectivity index and container throughput and route index.Design/methodology/approachThis study employs Social Network Analysis (SNA) to delineate the international connectivity of major container ports in Northeast Asia. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to identify each port's connectivity index and container throughput index, and the resulting indexes are employed as the basis to cluster 20 major ports by fuzzy C-mean (FCM).FindingsThe results revealed that Northeast Asia is a highly connected maritime shipping network with the domination of Shanghai, Shenzhen, Hong Kong and Busan. Furthermore, both container throughput and connectivity in almost all container ports in the region have decreased significantly due to the coronavirus disease 2019 (COVID-19) pandemic. The rapid growth of Shenzhen and Ningbo has allowed them to join Cluster 1 with Shanghai while maintaining high connectivity, yet decreasing container throughput has pushed Busan down to Cluster 2.Originality/valueThe originality of this study is to combine indexes of SNA into connectivity index reflecting characteristics of the maritime shipping network in Northeast Asia and categorize 20 major ports by FCM.\",\"PeriodicalId\":43865,\"journal\":{\"name\":\"Maritime Business Review\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2022-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Maritime Business Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/mabr-01-2022-0004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Maritime Business Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/mabr-01-2022-0004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 2
摘要
本研究旨在识别东北亚海上航运网络的特征,并比较该地区集装箱港口之间的港口连通性水平。此外,本研究还基于连通性指数和集装箱吞吐量和航线指数对区域内20个港口进行了聚类,分析了这些港口的作用和地位变化。设计/方法/方法本研究采用社会网络分析(SNA)来描绘东北亚主要集装箱港口的国际连通性。利用TOPSIS (Order of Preference by Similarity to Ideal Solution)技术对各港口的连通性指标和集装箱吞吐量指标进行识别,并以此为基础,采用模糊c均值(fuzzy C-mean, FCM)对20个主要港口进行聚类。结果显示,东北亚是一个高度联系的海上航运网络,上海、深圳、香港和釜山占据主导地位。此外,由于2019冠状病毒病(COVID-19)大流行,该地区几乎所有集装箱港口的集装箱吞吐量和连通性都大幅下降。深圳和宁波的快速发展使它们能够与上海一起加入集群1,同时保持高连通性,但集装箱吞吐量的减少将釜山推到了集群2。独创性/价值本研究的独创性在于将SNA指标结合为反映东北亚海上航运网络特征的连通性指标,并采用FCM对20个主要港口进行分类。
Analyzing the international connectivity of the major container ports in Northeast Asia
PurposeThis study aims to identify the characteristics of the maritime shipping network in Northeast Asia as well as compare the level of port connectivity among these container ports in the region. In addition, this study analyses the change in role and position of 20 ports in the region by clustering these ports based on connectivity index and container throughput and route index.Design/methodology/approachThis study employs Social Network Analysis (SNA) to delineate the international connectivity of major container ports in Northeast Asia. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to identify each port's connectivity index and container throughput index, and the resulting indexes are employed as the basis to cluster 20 major ports by fuzzy C-mean (FCM).FindingsThe results revealed that Northeast Asia is a highly connected maritime shipping network with the domination of Shanghai, Shenzhen, Hong Kong and Busan. Furthermore, both container throughput and connectivity in almost all container ports in the region have decreased significantly due to the coronavirus disease 2019 (COVID-19) pandemic. The rapid growth of Shenzhen and Ningbo has allowed them to join Cluster 1 with Shanghai while maintaining high connectivity, yet decreasing container throughput has pushed Busan down to Cluster 2.Originality/valueThe originality of this study is to combine indexes of SNA into connectivity index reflecting characteristics of the maritime shipping network in Northeast Asia and categorize 20 major ports by FCM.