乌鲁木齐域内旅游流数据分析

Data Analysis of the Tourism Flow in Urumqi

本文以旅游电商平台中乌鲁木齐域内旅游线路和景点推荐为基础数据,筛选热点景区关键词,在社交平台中利用关键词抓取补充数据,做游客数字足迹的社会网络结构分析。研究表明,价格相对高的线路产品在旅游电商平台中有更多的游客体验信息,景点社会网络结构呈多中心的聚集群落特征,夜间景点具有良好的群落适应性,城市商业服务和景点的关联性反映了游客的差异化需求,特色地域文化具有良好的旅游商业价值。

Using the tourist routes and the recommendation of scenic spots in Urumqi in the tourism e-commerce platforms as the elementary data,filtering keywords of popular scenic spots,and employing keywords t o capture supplementary data in social platforms,this article conducts the social network structure analysis of tourists’digital footprints.The study shows that the route products with relatively higher prices have more tourist experience information in the tourism e-commerce platforms;the social network structure of tourist attractions is represented by the polycentric aggregated clusters;the nighttime scenic spots have good cluster adaptability;the correlation between urban commercial services and tourist attractions refl ects the diff erentiated demands of tourists,and the characteristic regional cultures have good tourism business values.