Abstract:
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.
