| Summary: | 碩士 === 國立臺灣師範大學 === 地理學系 === 102 === Weather is one of the sources of tourism, and plays an important role in outdoor activities. It has the sightseeing attractiveness, and will be one of the important factors influencing the quality of outdoor activities. The comfort levels of weather will not only have significant influence on the perception of visitors, but also have further influence on the variation trend of visitors’ amount. The study is aimed to examine the variation trend of visitors’ amount caused by comfort levels of weather at 9 recreational sites in the Yangmingshan National Park. It also analyzes the influence of weather factors on the variation trend of visitors’ amount at each recreational site. In addition, the adaptability of the weather comfort index of traveling is also evaluated in this study. The six weather data, including temperatures, rainfalls, humidity, wind speeds, sunshine and rainy days, are collected from two weather stations at the park. These data are incorporated into three weather index, Temperature Humidity Index (THI), Tourism Climate Index (TCI), and SSD Index (ssd), for classification of comfort levels. The descriptive statistics is applied to understand the variations of the visitors’ amount caused by the weather factors. The study also uses t-test to examine the significance of weather factors. Moreover, the ANOVA is used to examine the adaptability of weather index at each recreational site. The variation trend of visitors’ amount at the Yangmingshan National Park has significant seasonal pattern, and the weather perception could be classified into four categories. In addition, based on the location and tourism sources at different recreational sites, the variation trend of visitors’ amount at higher elevation sites is variously affected by weather perception of comfort levels. This study result could be as reference for the management of recreational sites in the future. Besides, the weather comfort level analysis indicates that the classification of TCI index will be the highest explicable to the variation of the visitors’ amount at the high elevation recreational sites.
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