本研究之主要目的在於瞭解都市公園微氣候變化對於使用者熱舒適度之影響,並同時探討個人特性對於熱舒適度之影響,調查地點於公園內之園區道路、兒童遊戲場、生態池、草坪及涼亭等五類主要實質環境,並將其區分為有無遮蔭環境,利用儀器測量以各測點之氣溫、輻射量、風速及相對濕度等微氣候數據,同時並藉由問卷訪談及觀察使用者之個人特性,以及民眾對於當下氣候條件之熱感知、舒適度及接受度的實際主觀感受。研究結果經由t檢定、變異數分析、相關分析、相關比及迴歸分析等統計方法來進行假設檢定,並建立以微氣候、環境屬性及個人特性為自變項之使用者熱舒適度預測模式。研究結果顯示,公園內部有無遮蔭之各測點環境之氣溫、輻射量、相對濕度及風速等微氣候變化具有顯著差異,而自然及人工遮蔭形式之差異對於微氣候亦具有顯著影響。微氣候方面以氣溫及輻射量對於熱舒適度評值具有顯著影響,其中氣溫及輻射量對於熱舒適度評值具有顯著相關性。熱舒適度評值間之關係方面,舒適度及接受度會受到熱感知評估結果而有所差異,而熱感知與舒適及接受度皆呈現中等相關程度。個人特性部份,年齡對於熱感知呈現負向關係,與舒適度及接受度呈現正向關係,而活動類型則對舒適度及接受度具有顯著影響。在熱感知預測模型中,氣溫、輻射量、測點環境及年齡等因素為有效的預測指標。由研究結果證實都市公園內不同環境配置所產生之微氣候差異對於使用者之熱舒適度感受具有顯著影響,因此建議透過環境改善當地之微氣候,進而達到改善使用者熱舒適度之效果。
The purposes of this study was to understand the influences of microclimate on user’s thermal comfort in the urban park, and furthermore to investigate the influences of personal characteristics on thermal comfort. Field surveys were performed in the garden road, playground, eco-pond, lawn and pavilion of the urban park which in the sun and in the shade. Microclimate data were measured including air temperature, horizontal solar radiation, relative humidity and wind speed. Personal characteristics and assessments of microclimate in the moment with thermal sensation, comfort and acceptability were investigated by structured questionnaire. Statistical methods including T-test, One-way ANOVA, correlational analysis, correlation ratio and regression analysis were used to test the hypotheses and establish the thermal comfort predicting model with microclimatic, environmental and personal factors. The major results are summarized as follows: The layout and shading of each site were significant influences on air temperature, solar radiation, relative humidity and wind speed. There were significantly correlations in thermal comfort with air temperature and solar radiation. Thermal sensation were significantly influence the assessments of comfort and acceptability, and there were medium correlationships within thermal sensation and comfort and acceptability. In personal parameters, a siginificant negative correlation were found between age and thermal sensation, and the activity type were significant influences on assessments of comfort and acceptability. The results of the multiple regression analysis showed that air temperature, solar radiation, site planning and age had the most significant influence on the predictive model of thermal sensation.
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