城市气候舒适度与游客网络关注度时空相关分析

A Correlative Analysis of the Spatial and Temporal Relationship Between Climate Comfort Degree and Tourist Network Attention for Typical Cities

本文在系统收集城市气候及游客网络关注度数据的基础上,对30个城市气候舒适度和游客网络关注度的时空变化进行了分析,并利用综合舒适指数、经济发展水平、旅游资源丰度、节假日虚拟因子,采用OLS方法建立了游客网络关注度与气候舒适度的时空相关模型,结果显示:①气候舒适度的时空变化主要受地理纬度的影响,按城市气候舒适指数的年内变化,可以将30个城市划分为倒"V"形、倒"U"形、"M"形和宽"U"形4种类型;②游客网络关注度的时空变化主要受气候舒适度、经济发展水平等因素的影响,按游客网络关注度年内变化,可以将30个城市划分为3种类型:倒"V"形、"W"形和"M"形;③气候舒适度是影响游客网络关注度年内变化的重要因素,长春、北京、西宁和海口游客网络关注度月指数的气候弹性系数分别为0.542%、0.46%、1.182%和0.8%;④气候舒适度是影响游客网络关注度空间分布的重要因素,气候综合舒适度指数每变化1个单位,游客网络关注度将增加(或减少)0.641万次。

Climate is an important environmental factor which affects tourist＇ s traveling activity. It not only affects the temporal variation of the number of tourists in a year, but also affects the distribution of tourists. Network is a tool which helps tourists to make a decision. The network attention paid by tourists is also affected by climate. Based on the data of climate and network atten- tion paid by tourists, the spatial and temporal variation of climate comfort degree and tourist network attention in 30 cities are ana- lyzed. Based on the data of comprehensive comfort index, GDP, tourism resource and numerical valued fictitious factors, spatial and temporal models which show the correlative relationship between climate comfort degree and tourist network attention are built by the method of OLS. The results are shown as follows. 1） The spatial and temporal variation of climate comfort degree is mainly affected by the latitude. The 30 cities can be divided into four types including those looking like respective ＂V＂, respective ＂U＂, ＂M＂ and wide ＂U＂ by the variation of the comprehensive comfort index in a year. 2） The spatial and temporal variation of tourist network attention is mainly affected by climate comfort degree, GDP and tourism resource. The 30 cities can be divided into three types including those looking like respective ＂V＂, ＂W＂ and ＂M＂ by the variation of tourist network attention in a year. 3） The temporal variation of tourist network attention is mainly affected by climate comfort degree. Monthly index for tourist network attention of climatic elasticity coefficient in Changchun, Beijing, Nanjing and Haikou are respectively 0.542%, 0.46%, 1.182% and 0.8%. 4） Climate comfort degree is an important factor which affects the spatial distribution of tourist network attention. The quan- tity of tourist network attention will increase （or decrease） by 6410 if the comprehensive climate comfort index changes by one.