基于旅游数字足迹的访沪国内游客时空行为特征研究

发布时间：2018-05-15 02:09

  本文选题：旅游数字足迹 + 时空行为　； 参考：《资源开发与市场》2017年09期

【摘要】：采集携程网2013—2016年间能表明访沪国内游客出游时间和完整行程的游记,采用数理统计方法描述旅游资源的季节变化规律和各季节游客偏好的资源类型,运用空间分析方法分析游客到访景区的空间分布特征。结果表明:(1)不同类型旅游资源季节变化规律存在差异,各季节游客偏好的资源类型大体一致;(2)游客到访景区整体呈"大分散、小集聚"的空间分布特征,中心城区密集、城郊分散,且中心城区和城郊内部分布不均衡,城郊景区在春夏季占比高于秋冬季;(3)游客到访景区存在明显的"一心多点"等级集聚特征,核心热点区位于中心城区,密度值由外滩等构成的最高密集区向四周递减,其他区域的集聚呈飞地式点状,未形成扩散和蔓延态势,且从春季到冬季,次核心区域数量呈下降趋势。
[Abstract]:Collecting the travel records of domestic tourists visiting Shanghai from 2013 to 2016, using mathematical statistics to describe the seasonal variation of tourist resources and the types of resources preferred by tourists in each season. Spatial analysis method is used to analyze the spatial distribution characteristics of tourist attractions. The results show that there are differences in seasonal variation of different types of tourist resources, and the types of resources preferred by tourists in different seasons are roughly the same. 2) the tourist attractions as a whole show the spatial distribution characteristics of "large dispersion and small agglomeration", and the central urban areas are dense. The suburban areas are scattered, and the inner distribution of the central urban areas and the suburbs is not balanced. The proportion of suburban scenic spots in spring and summer is higher than that in autumn and winter, and there are obvious "multi-point" hierarchical agglomeration characteristics of tourists visiting scenic spots, and the core hot spots are located in central urban areas. The density value decreases from the highest concentration area of the Bund to the surrounding area, and the other regions gather in the form of enclaves without spreading and spreading, and the number of sub-core regions decreases from spring to winter.
【作者单位】： 上海师范大学地理系;
【分类号】：F592.7
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本文编号：1890489