基于微博大数据的游客情感与气候舒适度关系研究——以西安市国内游客为例

发布时间：2019-03-15 08:09

【摘要】：基于气候舒适度评价模型和情感倾向性分析理论,利用2014年西安市逐日平均气温、平均风速、平均相对湿度、日照时数等气象数据和游客微博数据,计算出气候舒适度指标和游客情感值分析气候舒适度与游客情感的相关关系。在单因素以及气候舒适度相关指标分析中,游客消极情感值与气温、温湿指数和风效指数呈负相关关系,与着衣指数显著正相关;游客积极情感值与气候舒适度不具有相关性;游客综合情感值与气温、相对湿度、温湿指数和风效指数呈显著负相关关系,与着衣指数显著正相关。研究表明,气温、风速、相对湿度及其不同组合对游客消极情感和游客综合情感会产生一定的影响。
[Abstract]:Based on the climate comfort evaluation model and the theory of emotional tendency analysis, this paper uses meteorological data such as daily average air temperature, average wind speed, average relative humidity, sunshine hours and tourist Weibo data in Xi'an in 2014. The correlation between climate comfort and tourists' emotion is analyzed by calculating the index of climate comfort and the value of tourists' emotion. In the analysis of single factor and correlation index of climate comfort, the negative emotion value of tourists was negatively correlated with air temperature, temperature and humidity index and wind efficiency index, and was positively correlated with clothing index, while the positive emotion value of tourists had no correlation with climate comfort, and the negative emotion value of tourists had negative correlation with air temperature, temperature and humidity index and wind efficiency index. There was a significant negative correlation between the tourists' comprehensive emotion and air temperature, relative humidity, temperature and humidity index and wind efficiency index, and a significant positive correlation between the tourists' comprehensive emotion value and the clothing index. The research shows that air temperature, wind speed, relative humidity and their different combinations will have a certain impact on tourists' negative feelings and tourists' comprehensive emotions.
【作者单位】：陕西师范大学旅游与环境学院陕西省旅游信息科学重点实验室;
【基金】：国家自然科学基金(41571135,41401639) 旅游业青年专家培养计划(TYETP201344) 中央高校基本科研业务费专项资金(14SZZD02)
【分类号】：F592.7

【参考文献】