基于GIS-SNA的长江三角洲城市群旅游流网络演化

发布时间：2018-07-09 14:29

本文选题：SNA理论 + GIS分析技术　；参考：《华东经济管理》2016年08期

【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。
[Abstract]:This paper takes 16 cities in the Yangtze River Delta as an example to construct the tourism flow network of the Yangtze River Delta by combining the social network analysis method with the spatial visualization technology. The structural characteristics, nodal centrality and spatial correlation of nodal cities in 2011, 2013 and 2015 were analyzed. The results show that the energy level of tourism flow network is increasing, the core node members are developing steadily, and the core nodes in Shanghai, Suzhou, Nanjing, Hangzhou, etc. In the Yangtze River Delta tourism flow network, the agglomeration of the core of the two major tourist flows in Shanghai and Hangzhou is obvious, which promotes the continuous improvement of the status of the surrounding node city network, and Nanjing has a relatively weak radiation effect on the surrounding nodes. The intensity of tourism economic connection between nodes is balanced development, showing three growth poles of tourism economic center. Finally, the study believes that it is necessary to further develop boutique tourism routes, combine tourism resources, increase links between nodes, and promote the balanced flow of tourism flows; at the same time, it is necessary to create tourism brands in the core areas, increase overseas tourists, and divert domestic tourists. Improve the level of tourism flow network.
【作者单位】：宁波大学地理与空间信息技术系;
【基金】：国家科技支撑计划项目(2013BAJ10B06-01)
【分类号】：F592.7

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