摘要
为推进粤港澳大湾区港口岸电发展进程,选取港口基础设施条件等相关指标建立港口聚类指标体系,采用层次聚类分析法对港口聚类分层,结合数据分析层次特点,以港口聚类结果为导向明晰各港口的岸电发展规划,从而提出粤港澳大湾区各港口的岸电发展重点提升目标,兼顾每个港口的岸电发展特色,促进粤港澳大湾区岸电联动发展的绿色港口群一体化。
In order to promote the development of shore power in ports of Guangdong-Hong Kong-Macao Greater Bay Area(GBA),the relevant indicators such as port infrastructure conditions were selected to establish a port clustering index system,and the hierarchical clustering analysis method was used to stratify the port clustering.Combined with the characteristics of data analysis hierarchy,the shore power development plan of each port was clarified with the port clustering results as the guide,so as to propose the key improvement targets for the shore power development of each port in the GBA,taking into account the shore power development characteristics of each port,and promoting the integration of green port groups with shore power linkage development in the GBA.
作者
李梦驰
许梦娜
LI Meng-chi;XU Meng-na(School of Digital Economics and Trade,Guangzhou Maritime University,Guangzhou Guangdong 510725,China)
出处
《广州航海学院学报》
2024年第3期74-78,共5页
Journal of Guangzhou Maritime University
基金
广州市哲学社会科学发展“十四五”规划2024年度羊城青年学人课题(2024GZQN83)。
关键词
岸电
粤港澳大湾区
绿色港口
聚类分析
发展策略
shore power
Guangdong-Hong Kong-Macao Greater Bay Area
green port
cluster analysis
development strategy