蓬莱气候舒适度与旅客网络关注度相关研究

刘璐,王一然,于言,衣淑玉,潘仕梅,王学芬

doi:10.13718/j.cnki.xsxb.2018.05.010

西南师范大学学报(自然科学版)

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蓬莱气候舒适度与旅客网络关注度相关研究

刘璐,王一然,于言,衣淑玉,潘仕梅,王学芬. 蓬莱气候舒适度与旅客网络关注度相关研究[J]. 西南师范大学学报(自然科学版), 2018, 43(5): 57-63. doi: 10.13718/j.cnki.xsxb.2018.05.010

引用本文:

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

蓬莱气候舒适度与旅客网络关注度相关研究

刘璐,王一然,于言,衣淑玉,潘仕梅,王学芬

中国农业大学烟台研究院, 山东烟台 264670

A Correlation Analysis between Climate Comfort Degree and Tourist Network Attention in Penglai,Shandong Province

LIU Lu, WANG Yi-ran, YU Yan, YI Shu-yu, PAN Shi-mei, WANG Xue-fen

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

摘要: 利用蓬莱市地面气象站观测的1961-2015年的气温、降水、相对湿度等气候资料，采用滑动平均法、线性倾向估计法和气候舒适度评价方法分析蓬莱市的气候特征，评价蓬莱市的气候舒适度；利用蓬莱市2012年至2015年旅客网络关注度的统计资料，运用OLS方法分析蓬莱市旅游气候舒适度与旅客网络关注度的关联性.结果表明：蓬莱市近年的年降水量和气温分别以倾向率0.644 5 mm/a，0.032 1℃/a上升，21世纪以来的降水和温度波动变化较大；蓬莱市全年最宜旅行的月份为5，6，9和10月份，最不宜旅行的月份是冬季3个月；旅客网络关注度与旅游气候舒适度相关性系数是0.978，旅客网络关注度月份指数的气候弹性系数是0.156，说明旅客网络关注度年内改变在一定程度上受气候影响，旅游气候舒适度综合指数每改变一个单位，蓬莱市的旅客网络关注度月份指数会随之变化0.156%.
- 气候舒适度 /
- 网络关注度 /
- 相关性 /
- 蓬莱
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%.
- climatic comfort degree /
- tourist network attention /
- correlation /
- Penglai .

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蓬莱气候舒适度与旅客网络关注度相关研究

刘璐,王一然,于言,衣淑玉,潘仕梅,王学芬

中国农业大学烟台研究院, 山东烟台 264670

收稿日期: 2017-09-26

关键词:

摘要: 利用蓬莱市地面气象站观测的1961-2015年的气温、降水、相对湿度等气候资料，采用滑动平均法、线性倾向估计法和气候舒适度评价方法分析蓬莱市的气候特征，评价蓬莱市的气候舒适度；利用蓬莱市2012年至2015年旅客网络关注度的统计资料，运用OLS方法分析蓬莱市旅游气候舒适度与旅客网络关注度的关联性.结果表明：蓬莱市近年的年降水量和气温分别以倾向率0.644 5 mm/a，0.032 1℃/a上升，21世纪以来的降水和温度波动变化较大；蓬莱市全年最宜旅行的月份为5，6，9和10月份，最不宜旅行的月份是冬季3个月；旅客网络关注度与旅游气候舒适度相关性系数是0.978，旅客网络关注度月份指数的气候弹性系数是0.156，说明旅客网络关注度年内改变在一定程度上受气候影响，旅游气候舒适度综合指数每改变一个单位，蓬莱市的旅客网络关注度月份指数会随之变化0.156%.

English Abstract

A Correlation Analysis between Climate Comfort Degree and Tourist Network Attention in Penglai,Shandong Province

中国农业大学烟台研究院, 山东烟台 264670

Received Date: 2017-09-26

Keywords:

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%.