Original Articles

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

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  • 1. College of Tourism and Environment Science, Shaanxi Normal University, Xi'an 710062, China;
    2. Institute of Geochemistry, CAS, Guiyang 550002, China

Received date: 2010-08-01

  Revised date: 2011-02-01

  Online published: 2011-06-25

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.

Cite this article

MALijun, SUN Gennian, YANG Rui, LONG Maoxing . A Correlative Analysis of the Spatial and Temporal Relationship Between Climate Comfort Degree and Tourist Network Attention for Typical Cities[J]. PROGRESS IN GEOGRAPHY, 2011 , 30(6) : 753 -759 . DOI: 10.11820/dlkxjz.2011.06.014

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