借鉴社会网络分析技术和方法,综合运用GIS空间分析和数理统计等方法,分析了中国入境游客多城市旅游卒闻网络结构特征。结果显示:①入境游客多城市旅游空间网络共有46个节点,节点分布呈现“东南密、西北疏”的空间格局;②旅游网络中每个城市节点平均与2.96个节点具有旅游流联系,节点体系共分4个等级,等级越高,节点数量越小,传统热点城市和区域中心城市在中心性和结构洞指标方面表现好,在旅游网络中占有重要地位;③整体旅游网络密度很低,网络功能发育不完善,且均在较大的不均衡性,网络核心节点对边缘节点的入境旅游辐射效应很弱;④旅游网络共存在9个派系,区位交通、旅游资源、经济联系是派系形成的重要驱动力,城市空间距离对派系形成影响作用极小。基于旅游流联系的角度,构建以城市为节点的大尺度入境旅游空间网络结构并进行深入分析,具有理论意义和实践指导意义。
This study examines the network structure of multicity inbound tourism in China in 2008 with the methods of social network analysis, GIS spatial analysis and mathematical analysis. More precisely, this investi- gation acquires analyses of the structural configuration of each city, network and cohesion within a country desti- nation by measuring the indicators of network analysis which include node indicators of centrality and structural holes, network indicators of density, centralization and core-periphery, and cohesion indicator of clique. The re- suits show that there are 46 nodes in the tourism network. Nodes distribution shows the spatial pattern of "dense southeast and sparse northwest". On average, each city node in the tourism network has tourists flow-related con- nections with 2.96 other nodes. And the node system is divided into four levels, the higher the rank, the smaller the number of nodes is. The major traditional tourism cities and regional central cities have good performance, and take important positions. The density of tourism network is low and unbalanced. There are nine cliques in the tourism network, which were driven by location transportation, tourism resources and economic links, but the effect of urban space distance is the minimal.