摘要
为评价港口的连通性,选取6个复杂网络拓扑特征作为港口连通性的评价指标,利用主成分方法构建港口连通性评价模型.通过搜集6家国际运力排名靠前的班轮公司船期数据,建立真实的航运网络,以验证模型的可行性和有效性,并用于海上丝绸之路战略背景下的福建省港口连通性分析.结果表明,厦门港的连通性最强,福州港次之,泉州港的连通性最弱;评价指标中,度中心性、特征向量中心性和平均路径长度对港口连通性影响较大.根据评价结果,提出福建省港口发展的定位和对策.
In order to identify the port connectivity status,we select six complex network topological features as the port connectivity indicators and construct the port connectivity model based on the principal component analysis. By collecting and using the service schedule data for six shipping capacity top-ranking liner companies,we build a real shipping network for verifying the feasibility and effectiveness of the port connectivity model. The model is used in evaluating the connectivity of the Fujian ports in the context of the Maritime Silk Road Strategy. The results show that Xiamen port has the strongest connectivity among the three major ports in Fujian,followed by Fuzhou Port and Quanzhou Port. The degree centrality,eigenvector centrality,and the shortest path length have the significant impacts on port connectivity. We put forward several development strategies for ports in Fujian.
出处
《深圳大学学报（理工版）》
EI
CAS
CSCD
北大核心
2017年第5期544-550,共7页
Journal of Shenzhen University(Science and Engineering)
基金
国家自然科学基金资助项目(71471109)
福建省社科规划资助项目(FJ2015C107)~~
关键词
交通运输系统工程
港口连通性
复杂网络
主成分分析
航运网络
海上丝绸之路
transport system engineering
port connectivity
complex network
principal component analysis
shipping network
Maritime Silk Road
