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  • 學位論文

觀光吸引力對航空旅運需求之影響-以台灣為例

The Impact of Tourism Attractiveness on Travel Demand: A Case Study in Taiwan

指導教授 : 朱子豪
共同指導教授 : 溫在弘(Tzai-Hung Wen)
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摘要


觀光旅遊是地理學中重要的研究領域之一,在過去航空旅遊的研究中,航空旅運需求預測與推估議題逐漸被重視,許多研究使用不同的影響因子和模式對旅運需求進行分析,然而卻鮮少討論觀光吸引力對旅運需求的影響,因此本研究試圖評估自願性地理資訊作為觀光吸引力代表指標的可行性,進而探討觀光吸引力對於旅運需求的影響,讓過去忽視觀光吸引力的旅運需求模式更加完整。   本研究以中華民國交通部民航局2000年至2013年「臺灣地區各機場國際及兩岸定期航線班機載客率」的運輸統計資料作為航空旅運需求資料來源,以地理經濟、航空可及性、觀光吸引力等三大類因子進行分析,其中觀光吸引力因子為帶有各城市地理標籤的Flickr照片數,飛行距離、飛行時間和飛機票價作為航空可及性因子,城市人口數、國民生產毛額和語言文字作為地理經濟因子,將以上述變項進行敘述統計,並且與旅運需求進行相關分析和線性迴歸分析。   研究結果發現台灣國際定期航線分布與載客量較大者集中在亞洲地區,在相關分析和線性迴歸分析結果發現,以Flickr照片數作為觀光吸引力的代表放入模式中,可提升旅運需求模式的解釋力,觀光吸引力在旅運需求模式中有正向顯著的影響,而地理經濟、航空可及性、觀光吸引力影響因子會因不同區域和不同年度有所差異。此研究有助於未來旅運需求模式與自願性地理資訊相關研究的發展,以及政府相關單位觀光策略的調整與制定。

並列摘要


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.

參考文獻


謝淑芬 1994。觀光心理學。台北市:五南。
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被引用紀錄


黃琳雯(2015)。觀光與轉機選擇行為分析-以台灣為例〔碩士論文,國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842%2fNCTU.2015.00487
洪瑋鍾(2016)。低成本航空服務 對旅客觀光目的地選擇分析 —以台灣-日本市場為例〔碩士論文,國立交通大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0030-0803201714423021

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