英文摘要
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The Taitung coastal area is a famous tourist area with abundant natural resources and cultural landscapes. It attracts many tourists on holidays. Based on the recommendations from the Coast National Scenic Area, this study picked out the best 20 spots for sightseeing. The researchers distributed questionnaires and utilized social network analysis method (including Centrality Analysis, Singular Value Decomposition, Lambda Set Analysis, and Core/periphery model) to analyze the data. The goal of the study is to understand the situation of the tourist vertices on the sitemap to help improve the Taitung coast tourism for relevant authorities and future itinerary change. By using the method of Centrality Analysis of UCINET software, it was found that spots such as Xiaoyeliu, Sanxiantai, and Baxian Cave with high reputation and convenient transportation had a high social network center. From SVD, Lamba set and Core/periphery model analysis, it showed that visitors tended to set their next destination in the vicinity. In addition, the Taitung coast sites could be divided into four scenic sections; therefore, each section can be linked into a network. The research results are helpful to the planning of tourism routes in Taitung coastal area, promoting the tourist attractions of the less popular destinations and dispersing tourists from popular spots. Furthermore, it could increase the quality and quantity of visitors to achieve the sustainable tourism.
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