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

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.%Using the daily average temperature,average wind speed,average relative humidity,sunshine duration data and tourists' micro-blog data,the climate comfort index and tourists' emotion value were calculated and the correlation between climate comfort index and tourists' emotion was revealed based on the climate model evaluation and emotional comfort propensity theory.In univariance and climate comfort metrics analysis,the results show that tourists' negative emotion value was significantly negatively correlated with temperature,ITH (temperature and humidity index) and K,and positively correlated with ICL (index of cloth loading).The tourists' positive emotion value is not relevant with climate comfort index.Tourists' integrated emotion value was significantly negatively correlated with temperature,relative humidity,ITH (temperature and humidity index) and K,and positively correlated with ICL (index of cloth loading).It indicates that temperature,wind speed and relative humidity as well their different combinations of circumstances have some effects on tourists' negative emotion and tourists' integrated emotion.