| Summary: | 碩士 === 國立臺灣大學 === 地理環境資源學研究所 === 101 === Tourism research is one of the important parts of geography. In the past, air travel research paid more attention on travel demand estimation and prediction issue. Many research used different models and variations to analyze and modify travel demand model. However, they rarely discuss the impact of tourism attractiveness on travel demand. This study attempts to assess Voluntary Geographic Information as an indicator of the tourism attractiveness, investigate the impact of tourism attractiveness on travel demand, and improve the completeness of travel demand model.
In this study, the data source of travel demand extracts from Taiwan Civil Aeronautics Administration Ministry of Transportation and Communications. There are three factor categories used: Geo-economic, Air accessibility, Tourism attractiveness. Tourist attractiveness factor is the number of city geotagged photos on Flickr. Air accessibility factor is comprised of fly distance, fly time and fares. Geo-economic factor is composed of city population, gross domestic product per capita, and languages. Methods including correlation analysis and linear regression were applied to travel demand model.
The results show that Taiwan international scheduled airline routes and much passenger volume distribution cluster in the Asia. The correlation analysis and linear regression analysis found that the number of photos from Flickr as a tourist attractiveness could enhance the explanatory power of travel demand model. Geo-economic, Air accessibility, and Tourism attraction factor will vary depending on regions and different years. This study contributes to future travel demand models and geographic information voluntarily research, as well as the government institutions to develop tourism strategy.
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