摘要
互联网已经成为游客查询目的地旅游相关信息的重要平台;网络搜索数据则记录了游客的关注热点和旅游偏好等,反映了旅游目的地网络关注度状况.基于百度指数平台,获取日照2013-2017年每日旅游搜索指数为基础数据,借助Excell和ArcGIS 10.2分析软件,运用季节性集中指数、周内分布偏度指数和地理集中度指数等方法对数据进行统计分析和可视化处理,揭示了日照旅游网络关注度时间和空间分布特征,探讨了其影响因素,并根据结论提出了相应的建议,对促进日照旅游发展有一定的实践指导作用.
Internet has played an important role in inquiring information about travel destinations;network search data records tourists＇ hot spots and demand preferences,etc.and reflects the network attention to tourism destination.Based on Baidu index platform,obtaining rizhao tourism daily search index during 2013-2017 as basic data,with the help of Excell and ArcGIS 10.0 analysis software and the analysis methods of seasonal concentration index,skewness index within tourism golden weeks and geographical convergence exponent index,this paper explored the temporal and spatial distribution characteristics of network attention to Rizhao tourism,analyzed the influencing factors and proposed corresponding suggestions according to the research conclusions to promote the development of Rizhao tourism.
作者
郭丽丽
Guo Li-li(Rizhao Polytechnic,276826,Shandong Rizhao,PR)
出处
《曲阜师范大学学报（自然科学版）》
CAS
2018年第3期109-116,共8页
Journal of Qufu Normal University(Natural Science)
关键词
网络关注度
时空分布
影响因素
百度指数
日照旅游
network attention
spatial and temporal distribution
influencing factors
Baidu index
Rizhao tourism
