An analysis of research trends of inland waterway utilizing social network analysis

IF 3.3 Q2 TRANSPORTATION Asian Journal of Shipping and Logistics Pub Date : 2023-06-01 DOI:10.1016/j.ajsl.2023.02.002
Young-Seo Choi, Gi-Tae Yeo
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Abstract

This study aimed to analyze the research trends of inland waterways in the field of logistics by compiling previous studies that contain keywords related to inland waterways. To investigate the research trend, this study used a keyword network among the SNA methodology and deduced results using the concepts of centrality, including degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. According to the results of the comprehensive analysis by each region based on the eigenvector centrality outcome, Europe had a core keyword of modal shift, which refers to the conversion to eco-friendly vehicles due to the exhaust problem of land carriage, as well as the continuously implemented government policy. The results of China showed that the country’s task to solve was on studies aimed at reducing traffic jams in inland waterways using AIS data. In the case of the US, the problems of ship delay remain unsolved owing to old locking facilities and equipment. This study provided academic implications that clarify the state-of-the-art in this research topic in three regions that have advanced inland waterways.

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基于社会网络分析的内河航道研究趋势分析
本研究旨在通过汇编包含内陆水道相关关键词的先前研究,分析内陆水道在物流领域的研究趋势。为了调查研究趋势,本研究使用了SNA方法中的关键词网络,并使用中心性的概念推导了结果,包括度中心性、介数中心性、贴近中心性和特征向量中心性。根据各地区基于特征向量中心性结果的综合分析结果,欧洲有一个核心关键词是模式转变,即由于陆地运输的排气问题,以及政府政策的持续实施,向环保汽车的转变。中国的研究结果表明,中国要解决的任务是利用AIS数据减少内河航道交通堵塞的研究。就美国而言,由于锁定设施和设备陈旧,船舶延误问题仍未解决。这项研究提供了学术启示,阐明了这一研究主题在三个拥有先进内陆水道的地区的最新进展。
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来源期刊
CiteScore
7.80
自引率
6.50%
发文量
23
审稿时长
92 days
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