基于SNA的港口群竞合关系分析模型研究

发布时间：2018-09-13 14:27

【摘要】：目前,经济全球化使得国际贸易竞争逐渐加剧,作为重要国际贸易节点的港口面临着巨大的挑战。近年来,世界各主要大港纷纷规划建立港口联盟、港口集群,依靠整体的力量获取市场优势,港口竞合关系联盟已成为港口发展的必然趋势。我国港口在高速发展的同时,却普遍缺乏合作,导致了港口重复建设,同质低效竞争等问题。为解决上述问题,也为了助力于我国港口群规划,从而形成定位明确、层次分明、合理分工的良性港口群内部竞合关系,本文基于社会网络分析(SNA)整体网研究的理论及方法,解析港口竞合关系要素,构建了港口群竞合关系分析模型,并在此基础上进行了实例验证及动态演化仿真。论文首先分析了国内外港口为协调港口间竞合关系所做的相关研究；阐述了SNA方法论中整体网研究的核心理论及相关研究方法和技术；在SNA与图论、复杂网络对比分析的基础上,阐述了基于SNA方法论建立分析模型、仿真网络动态演化的优势；选取研究所需的技术工具。其次,论文基于SNA方法论的研究思路,提出建立港口群竞合关系网络分析模型的方法。首先界定港口竞合关系,并将其分解为港口经济腹地竞合、港口货类货源竞合两个要素；采用网络层次聚类方法,确立了港口群中港口的层次等级分工；进一步利用改进的灰色关联度算法及区位商算法,将经济腹地、货类货源两大竞合要素量化,形成港口竞合关系系数；建立竞合关系网络社群矩阵及社群图,将港口竞合要素嵌入网络,接着进行网络密度、中心性及中间性等一系列网络静态特征分析,分析网络节点的角色地位及网络整体结构特征等。最后本文以我国珠三角港口群为例,对港口群竞合关系网络分析模型进行了实例研究,验证了模型的有效性,并基于此提出了优化珠三角港口群竞合关系结构的建议；设计并实现港口群竞合关系网络动态演化的仿真,并通过一致性检验该模型符合珠三角港口实际情况。
[Abstract]:At present, the economic globalization makes the international trade competition intensify gradually, the port as the important international trade node faces the huge challenge. In recent years, major ports in the world have been planning to establish port alliance, port cluster, relying on the overall strength to obtain market advantages, port competition and cooperation relations alliance has become an inevitable trend of port development. With the rapid development of ports in our country, there is a general lack of cooperation, which leads to the repeated construction of ports, the same quality and low efficiency competition and so on. In order to solve the above problems, and to help the port group planning in our country, so as to form a well-defined, well-defined and rational division of labor, this paper analyzes the theory and method of (SNA) integrated network research based on social network. Based on the analysis of the key elements of the port concurrence relationship, the analysis model of the port group concurrence relationship is constructed, and on the basis of the model, an example is given to verify and simulate the dynamic evolution of the port group. Firstly, this paper analyzes the relevant research done by domestic and foreign ports to coordinate the relationship between ports, expounds the core theory and relevant research methods and technologies of the overall network research in SNA methodology, and discusses the relationship between SNA and graph theory. Based on the comparative analysis of complex networks, this paper expounds the advantages of establishing analysis models based on SNA methodology to simulate the dynamic evolution of networks, and selects the technical tools needed for research. Secondly, based on the research idea of SNA methodology, this paper puts forward the method of establishing the network analysis model of port group competing relationship. Firstly, it defines the relationship of port competition and cooperation, and decomposes it into two elements: the economic hinterland competition of port, the competing of cargo source of port, and the hierarchical division of labor of ports in port group by using the method of network hierarchical clustering. Further use the improved grey correlation degree algorithm and location quotient algorithm to quantify the two competing elements of economic hinterland and cargo source to form the coopetition relation coefficient of port, establish the network community matrix and community map of competing relation. A series of static characteristics of network, such as network density, centrality and intermediation, are analyzed to analyze the role of network nodes and the overall structure of the network. Finally, taking the Pearl River Delta port group as an example, this paper makes a case study on the network analysis model of the port group competing relationship, validates the validity of the model, and puts forward some suggestions to optimize the structure of the port group competing relationship in the Pearl River Delta port group. The simulation of dynamic evolution of port group competing relationship network is designed and realized, and the model accords with the actual situation of Pearl River Delta port through consistency checking.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：F552;F224

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