地理科学进展 ›› 2011, Vol. 30 ›› Issue (6): 753-759.doi: 10.11820/dlkxjz.2011.06.014

• 文化与旅游地理 • 上一篇    下一篇

城市气候舒适度与游客网络关注度时空相关分析

马丽君1, 孙根年1, 杨睿2, 龙茂兴1   

  1. 1. 陕西师范大学旅游与环境学院,西安 710062;
    2. 中国科学院地球化学研究所,贵阳 550002
  • 收稿日期:2010-08-01 修回日期:2011-02-01 出版日期:2011-06-25 发布日期:2011-06-25
  • 通讯作者: 孙根年(1961-),男,陕西西安人,教授,博士生导师,主要从事旅游管理的教学研究。E-mail: gnsun@snnu.edu.cn E-mail:gnsun@snnu.edu.cn
  • 作者简介:马丽君(1981-),男,山东临沂人,博士研究生,研究方向为旅游气候与旅游经济运行。E-mail: ljmaljly@163.com
  • 基金资助:

    国家自然科学基金项目(40271052);陕西师范大学研究生培养创新基金项目(2010CXB006);中央高校基本科研业 务费专项资金项目(09SZZD06)。

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

MALijun1, SUN Gennian1, YANG Rui2, LONG Maoxing1   

  1. 1. College of Tourism and Environment Science, Shaanxi Normal University, Xi'an 710062, China;
    2. Institute of Geochemistry, CAS, Guiyang 550002, China
  • Received:2010-08-01 Revised:2011-02-01 Online:2011-06-25 Published:2011-06-25

摘要: 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。

关键词: 城市, 气候舒适度, 网络关注度, 相关分析, 游客

Abstract: 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 attention paid by tourists, the spatial and temporal variation of climate comfort degree and tourist network attention in 30 cities are analyzed. 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 quantity of tourist network attention will increase (or decrease) by 6410 if the comprehensive climate comfort index changes by one.

Key words: city, climate comfort degree, correlative analysis, network attention, tourist