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2018 Volume 43 Issue 5
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LIU Lu, WANG Yi-ran, YU Yan, YI Shu-yu, PAN Shi-mei, WANG Xue-fen. A Correlation Analysis between Climate Comfort Degree and Tourist Network Attention in Penglai,Shandong Province[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(5): 57-63. doi: 10.13718/j.cnki.xsxb.2018.05.010
Citation: LIU Lu, WANG Yi-ran, YU Yan, YI Shu-yu, PAN Shi-mei, WANG Xue-fen. A Correlation Analysis between Climate Comfort Degree and Tourist Network Attention in Penglai,Shandong Province[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(5): 57-63. doi: 10.13718/j.cnki.xsxb.2018.05.010
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A Correlation Analysis between Climate Comfort Degree and Tourist Network Attention in Penglai,Shandong Province

  • Yantai Research Institute of China Agricultural University, Yantai Shandong 264670, China

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  • Received Date: 26/09/2017
  • In this paper, climate elements such as temperature, precipitation, relative humidity and other climate data from 1961 to 2015 observed by the Penglai Meteorological Station were used to analyze the climate characteristics and climate comfort degrees of Penglai City via the sliding average method, linear tendency estimation method and climate comfort evaluation method. Moreover, this essay analyzes the relationship between the degrees of tourism climate comfort and tourist network attention using the tourist network attention degree of Penglai from 2012 to 2015 via OLS method. The result shows that:In recent years, the annual precipitation and temperature in Penglai have increased at a rate of 6.445mm/10a and 0.321℃/10a respectively, and the precipitation and temperature fluctuations have changed greatly since the 21st century. The most suitable travel months for the whole year in Penglai are May, June, September and October. The least suitable periods for traveling are three months in winter. The correlation coefficient between the degrees of tourism climate comfort and tourist network attention is 0.978, and the climate elasticity coefficient of monthly tourist network attention is 0.156%,which proves that the tourist network attentions during the year are affected by the climate to a certain extent. The climate comfort degree of Penglai changed by 1 units, the monthly degree of tourist network attention would increase or decrease by 0.156%.
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A Correlation Analysis between Climate Comfort Degree and Tourist Network Attention in Penglai,Shandong Province

  • Received Date: 26/09/2017

Abstract: In this paper, climate elements such as temperature, precipitation, relative humidity and other climate data from 1961 to 2015 observed by the Penglai Meteorological Station were used to analyze the climate characteristics and climate comfort degrees of Penglai City via the sliding average method, linear tendency estimation method and climate comfort evaluation method. Moreover, this essay analyzes the relationship between the degrees of tourism climate comfort and tourist network attention using the tourist network attention degree of Penglai from 2012 to 2015 via OLS method. The result shows that:In recent years, the annual precipitation and temperature in Penglai have increased at a rate of 6.445mm/10a and 0.321℃/10a respectively, and the precipitation and temperature fluctuations have changed greatly since the 21st century. The most suitable travel months for the whole year in Penglai are May, June, September and October. The least suitable periods for traveling are three months in winter. The correlation coefficient between the degrees of tourism climate comfort and tourist network attention is 0.978, and the climate elasticity coefficient of monthly tourist network attention is 0.156%,which proves that the tourist network attentions during the year are affected by the climate to a certain extent. The climate comfort degree of Penglai changed by 1 units, the monthly degree of tourist network attention would increase or decrease by 0.156%.

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