[1]潘静静,王晓峰.复杂网络视角下的港口连通性建模及应用[J].深圳大学学报理工版,2017,34(No.5(441-550)):544-550.[doi:10.3724/SP.J.1249.2017.05544]
 Pan Jingjing,and Wang Xiaofeng.Port connectivity model based on complex network and its application[J].Journal of Shenzhen University Science and Engineering,2017,34(No.5(441-550)):544-550.[doi:10.3724/SP.J.1249.2017.05544]
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复杂网络视角下的港口连通性建模及应用()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第34卷
期数:
2017年No.5(441-550)
页码:
544-550
栏目:
交通物流
出版日期:
2017-09-20

文章信息/Info

Title:
Port connectivity model based on complex network and its application
文章编号:
201705017
作者:
潘静静12王晓峰1
1)上海海事大学信息工程学院,上海 201306
2)福建农林大学交通与土木工程学院,福建福州 350108
Author(s):
Pan Jingjing1 2 and Wang Xiaofeng1
1) College of Information Engineering, Shanghai Maritime University, Shanghai 201306, P.R.China
2) College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, Fujian Province, P.R.China
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
Keywords:
transport system engineering port connectivity complex network principal component analysis shipping network Maritime Silk Road
分类号:
F 551;U 691
DOI:
10.3724/SP.J.1249.2017.05544
文献标志码:
A
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.
Abstract:
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.

参考文献/References:

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备注/Memo

备注/Memo:
Received:2017-03-02;Accepted:2017-05-21
Foundation:National Natural Science Foundation of China(71471109);Social Science Fund of Fujian Province(FJ2015C107)
Corresponding author:Professor Wang Xiaofeng.E-mail: xfwang58@163.com
Citation:Pan Jingjing, Wang Xiaofeng. Port connectivity model based on complex network and its application[J]. Journal of Shenzhen University Science and Engineering, 2017, 34(5): 544-550.(in Chinese)
基金项目: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)
作者简介:潘静静(1984—),女,福建农林大学讲师.研究方向:物流与供应链管理、航运大数据分析.E-mail:jjpan@fafu.edu.cn
引文:潘静静,王晓峰.复杂网络视角下的港口连通性建模及应用[J]. 深圳大学学报理工版,2017,34(5):544-550.
更新日期/Last Update: 2017-09-05