【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。更多还原

【Abstract】 This paper firstly collected the online travel notes of tourists who visited Shanghai from 2013 to 2016 through trip and then sorted out the travel time and travel spots. Using seasonal variation index and the percentage of a certain type of tourism resource accounted for all types of tourism resources to describe the seasonal variation regularity of a certain type of tourism resource and the types of tourism resources that tourists preferred in different reasons respectively. Based on these previous data,this paper made used of GIS spatial analysis methods,trying to figure out the spatial distribution feature. The results showed that:(1)Different tourism resources had different seasonal variation regularity,the types of tourism resources that tourists preference were largely consistent in different seasons.(2)The spatial distribution feature was"scatter in a large area and cluster in a small area",the spots were intensive in central city and scattered in suburb and the distributions were unbalanced within central city and suburb. Also,the percentage of spots in suburb were more in spring and summer than in autumn and winter.(3)The spots that tourists visited formed a hierarchical clustering characteristics"one center and several dots"and city center was a core hot region,the density was decreased from the highest concentration area that was consist of the Bund,Nanjing Road and Lujiazui Financial Center,in addition,the structure in other areas was dots enclave and didn’t spread,the number of sub-core hot regions was decreased from spring to winter.更多还原