文献类型：期刊文献

中文题名：城市旅游客流量—网络关注度空间分布特征与耦合分析

英文题名：Research on Spatial Feature and Coupling Correlation between Urban Tourist Flow and Network Attention-Degree

作者：汪秋菊[1];黄明[2];刘宇[1]

第一作者：汪秋菊

机构：[1]北京联合大学旅游学院;[2]北京建筑大学测绘学院

第一机构：北京联合大学旅游学院

年份：2015

卷号：31

期号：5

起止页码：102-106

中文期刊名：地理与地理信息科学

外文期刊名：Geography and Geo-Information Science

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：北京市教育委员会社科计划面上项目(SM201411417007)

语种：中文

中文关键词：客流量;网络关注度;空间分布;Voronoi多边形;杭州

外文关键词：tourist flow;network attention-degree;spatial distribution;Voronoi polygons;Hangzhou

摘要：为反映城市旅游客流量与网络关注度空间分布特征及两者耦合关系,结合杭州市38个3A级以上景点(区)旅游客流量与网络关注度数据,采用ArcGIS生成Voronoi多边形构造旅游景点的地理空间边界,测算各景点客流量与网络关注度密度,利用局部多项式空间插值方法,生成客流量、网络关注度密度空间分布图,并采用非参数计量方法,分析两者空间对应变动关系。研究表明:旅游客流量与网络关注度数据空间化是实现空间表达及分析两者关系的重要手段。杭州旅游客流量、网络关注度分别形成"双峰"、"多中心"的空间格局。除千岛湖风景区和浙西大峡谷两个景点外,杭州3A级以上景点旅游客流量与网络关注度密度存在显著正相关。这一结论揭示了多个景点旅游客流量与网络关注度密度具有明显呼应的关系,同时也表明了旅游需求的变化及景区的区位交通条件是影响两者耦合的重要因素。
To explore the spatial feature and coupling correlation between tourist flow and network attention-degree,this paper firstly collects the data of the network attention-degree as well as the tourist flow of 38 scenic spots above 3Alevels in Hangzhou,generates geospatial boundaries of scenic spots through Voronoi polygons of ArcGIS,and calculates spatial density of the network attention-degree and the tourist flow.Then,this paper generates the spatial density distribution of tourist flow and network attention-degree with local polynomial interpolation,and analyzes the coupling correlation of them with nonparametric estimation.The result shows that data spatialization of the network attention-degree and the tourist flow is an important method to realize spatial express and explore the correlation of the two.The tourist flow has formed a ＂ Twin Peaks＂ spatial structure in Hangzhou,which is different from ＂ multi-center＂ spatial structure of the network attention-degree.There is a positive correlation between the spatial density of the tourist flow and the network attention-degree of Hangzhou′s 38 scenic spots above 3A levels except Qiandao Lake and Zhejiang Western Grand Canyon.This conclusion confirms that there is a coupling correlation between the density of the tourist flow and the network attention-degree,and the change in tourism demand and transportation conditions are the vital factors to influence the coupling correlation between the two.