碩士 / 輔仁大學 / 統計資訊學系應用統計碩士班 / 106 / In 2016, the number of Chinese tourists declined by up to 20% as a result of the economic policy related to trade with the Taiwan Strait and economic recession. In the same year, the New Southbound Policy was implemented to increase tourism revenues. Therefore, this research determines foreign tourists’ characteristics and demand, using data from the Republic of Chinas 2016 “Annual Survey of Visitors Expenditure and Trends in Taiwan” conducted by the Ministry of Transportation and Communications. The study aims to facilitate the development of Taiwan’s economy and tourism industry.
Taipei’s five most popular tourist attractions are analyzed and different foreign tourist characteristics are examined using data mining. Finally, decision tree rules are analyzed to recommend an appropriate itinerary for each foreign tourist segment. An appropriate marketing strategy should provide tourists with references needed to organize their itinerary.
| Identifer | oai:union.ndltd.org:TW/106FJU00506003 |
| Date | January 2018 |
| Creators | Wang, Yi-Ching, 王逸靖 |
| Contributors | Liang, Te-Hsin, 梁德馨 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 170 |
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