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基于GIS-SNA的长江三角洲城市群旅游流网络演化 被引量:10

Evolution of Tourist Flow Network of Urban Agglomeration in the Yangtze River Delta Based on GIS-SNA
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摘要 文章以长三角16个城市为例,通过社会网络分析法与空间可视化技术相结合,构建长三角旅游流网络,分析其2011年、2013年、2015年的结构特征和节点中心性变化及节点城市空间相关性。研究表明:旅游流网络能级水平不断提高,核心—边缘区节点成员稳定发展,上海、苏州、南京、杭州等核心节点结构洞水平一直较高,在长三角旅游流网络中处于有利的竞争地位;上海、杭州两大旅游流核心的集聚、扩散作用明显,促进周围节点城市网络地位的不断提高,南京对周边节点辐射作用相对较弱;节点间的旅游经济联系强度均衡发展,呈现三大旅游经济中心增长极。最后,研究认为,要进一步开发精品旅游线路,组合旅游资源,增加节点间的联系,促进旅游流的均衡流动;同时打造核心区旅游品牌,增加海外游客,分流国内游客,提升旅游流网络水平。 This article, based on the method of social network analysis and spatial information technology, constructs the tourism flow network in 16 cities of the Yangtze River Delta, and analyzes the change of the structure characteristics, node centrality, and the correlation of the urban spatial in 2011,2013 and 2015. The results show that: the level of tourism flow network is continuously improved, and the members of the core - edge area continue in a stable development, the level of core - node structural holes has been high, such as Shanghai, Suzhou, Nanjing Hangzhou in a favorable competitive position;The agglomeration and diffusion of the two major tourist flows in Shanghai and Hangzhou are obvious, which improve the urban network status of the surrounding nodes, but the radiation effects of Nanjing on other cities are relatively weak ; The tourism economic ties between the nodes are balanced development, which show the growth of the three major tourist economic center. Finally, the study suggests to further develop tourism routes, combine tourism resources, increase the links between nodes, and promote the balanced flow of tourism flows, at the same time, build the core area of tourism brand, increase the overseas tourists, shunt domestic tourists and enhance the level of tourism flow network.
出处 《华东经济管理》 CSSCI 北大核心 2016年第8期35-40,共6页 East China Economic Management
基金 国家科技支撑计划项目(2013BAJ10B06-01)
关键词 SNA理论 GIS分析技术 城市群旅游流网络 数据创新 SNA theory GIS analysis technology tourism flow network of urban agglomeration data innovation
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