基于SNA的区域航空物流网络空间结构研究

A SNA-based Study of Spatial Structure of Regional Aviation Logistics Network

为了研究区域航空物流网络空间结构特征及优化布局问题,在关系数据的基础上,采用社会网络分析(Social Network Analysis,SNA)方法,构建了一种针对有向多值型网络空间结构的量化分析体系。运用核心–边缘结构、凝聚子群、伯特结构洞以及拓扑分析模型,选取核心度、边关联度、限制度、等级度和冗余度5个定量指标从分布特征、群聚特征、连接机制和凝聚性4个角度对云南省航空物流网络的空间结构特征进行了描述和分析。结果显示:云南省航空物流网络以昆明为核心呈中心发散的状态,西双版纳、丽江和大理形成的次级区域对中心节点昆明的依赖性过高;昆明、西双版纳、大理及丽江间的连接稳定性、密集性强度较高,网络内部空间组织分化比较明显;核心区与密集区集中于旅游热点区域,空间布局较少兼顾与产业布局和跨境口岸之间的衔接。最后结合指标测算分析结果和云南省过境物流、东盟贸易的需求,充分利用现有交通资源,提出以昆明-西双版纳为"双核"的"双环形航空走廊"网络的空间布局优化建议。

In order to study the spatial structure features and layout optimization problem of regional aviation logistics network,based on the relationship data,a quantitative analysis system for directed multi-value network spatial structure is established by using social network analysis method. By using the models of coreperiphery structure,cohesive subgroup,Bert structural hole and topology analysis,selecting 5 quantitative indicators including coreness,edge connectivity,constraint,hierarchy,redundancy,the spatial structure features of aviation logistics networks in Yunnan Provence are described and analyzed from the aspects of distribution feature,clustering feature,connection mechanism and cohesion. The result shows that（ 1） the network of Yunnan aviation logistics network takes Kunming as the core and it is central diverging,the subregion formed by Xishuangbanna,Lijiang and Dali has excessive dependence on the central node Kunming;（ 3） the connection stability and intensity among Kunming,Xishuangbanna,Lijiang and Dali are relatively higher,the spatial differentiation of the internal space of the network is obvious;（ 4） the core and dense areas concentrated in tourist hot spots,while the spatial layout less considered the cohesion between industrial layout and cross-border ports. Finally,to make full use of existing traffic resources,the suggestion of space layout optimization of ＂dual annular aviation corridor＂network with ＂dual core＂formed by Kunming and Xishuangbanna is advanced combining with the calculation result of indicators and demands of cross-border transit logistics and ASEAN trade in Yunnan Province.