| Summary: | 碩士 === 中國文化大學 === 地學研究所地理組 === 105 === Yangmingshan National Park is one of Taipei’s most popular tourist attractions, with an abundance of natural and cultural resources. Apart from providing environmental education, it offers diverse recreational activities such as flower appreciation, hiking, hot springs, and night view appreciation among others. Thus, during vacation season or on special holidays, the park attracts many tourists. During their vacation, tourists often use mobile devices to record their activities by taking pictures and videos and often upload their pictures and videos to Facebook and other social media sites, recording their daily activities using check-in. As a result, there is much location-specific information in these social media sites which can be used to quickly gauge the popularity of tourist attractions; the only element missing is a system in place to monitor massive changes in the check-in data. This article uses Yangmingshan National Park as a scope for research, gathers and analyzes check-in data from December 2014 to January 2016, discusses the type and distribution of check-in place, and analyzes the changes in check-in volume using different time scales in order to understand the distribution and movement of Facebook check-in groups in Yangmingshan National Park. As a result of this research, it was discovered that the park’s check-in are mostly distributed along its roads, and many of these are found in the Jhuzihu and Yangmingshan bus terminal areas. The changes in check-in volume are easily influenced by activities and seasons; for example, most of the check-in from the first half of 2015 are concentrated in areas with lower altitudes such as Hushan, Yangming Park, and Jhuzihu, while most of the check-in from the second half of the year are concentrated in the Cising Mountain, Cingtiangang, and Macao recreation areas. Regarding the hourly average changes in check-in this study found that check-in primarily occurs between 9:00 to 16:00, and after analyzing the changes in check-in in different locations, it was discovered that although Yangming Park and the lava structures of Datun Mountain, Macao recreation area, and Quanyuan are geographically dispersed, they have the same volume of check-in changes. This could be due to similarities in their recreational activities (the former has the flower season, and the latter has hot springs). Lastly, the study compares the changes in check-in volume with visitor statistics in Yangming Park, finding that only the check-in changes in Yangming Park and Datun Mountain can explain the visitor statistics data. Although the other recreation-based regression models are not significant, the check-in data can show in detail changes in the park’s level of popularity at different times. In addition, owing to the rapid growth of social media sites in recent years, check-in data are an important supplement to traditional means of calculating visitor volume.
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