網路已為遊客蒐集資訊的主要管道。旅遊目的地網站的著陸頁面更是佔有舉足輕重的位置。本研究之研究目的為以2018臺灣燈會官網為例，研究旅遊目的地網站著陸頁面類型為何、不同類型著陸頁面的網頁內容差異與瀏覽行為差異情形。研究方法首先以文獻探討著陸頁面分類，以及歸納旅遊目的地網站著陸頁面應具備內容，接著透過內容分析法將熱門以及冷門著陸頁面進行分類，並探討不同類型著陸頁面內容差異，最後以文件分析法，分析2018臺灣燈會官方網站2017.11.01~2018.03.11 的網站日誌資料，瞭解不同類型的著陸頁面，其瀏覽行為的差異情形。研究結果顯示：一、2018臺灣燈會官方網站的著陸頁面類型分為熱門導覽著陸頁面、熱門內容著陸頁面、冷門導覽著陸頁面以及冷門內容著陸頁面。二、在著陸頁面內容方面，設計構面與互動構面，熱門與冷門著陸頁面大致一樣，資訊構面，熱門著陸頁面則具備食宿推薦、購物娛樂、交通資訊等項目，冷門著陸頁面則無。三、冷門內容著陸頁面的瀏覽行為數據最為優秀。熱門著陸頁面在網站停留時間顯著低於冷門著陸頁面，熱門內容著陸頁面在網站停留時間顯著低於冷門內容著陸頁面。

The purpose of this study was to take the official website of Taiwan Lantern Festival in 2018 as an example to study the types of landing pages, the content differences and browsing behavior differences of different landing pages. The research explored the classification of landing pages based on literature and concluded the content of landing pages of tourist destination websites, and then, we classified difference from popular landing pages and unpopular landing pages through content analysis method. Finally, it applied documentary analysis method to analyze the log data of the website from 2017.11.01 to 2018.03.11 to understand the different types of landing pages and their different browsing behavior. The results showed that: 1. The landing pages could be divided into popular guide landing pages, popular content landing pages, unpopular guide landing pages and unpopular content landing pages. 2. In terms of landing page content, popular landing pages and unpopular landing pages are roughly the same in the design and interaction facets；in the information facets, popular landing pages were equipped with items of accommodation recommendation, shopping and entertainment, traffic information, but unpopular landing pages are not. 3. The browsing behavior data of unpopular content landing pages were the best. Popular landing pages spent significantly less time on websites than unpopular landing pages.

2018臺灣燈會官方網站 (2018a)。各燈區Google地圖。取自https://media.taiwan.net.tw/WebArchives/web/20180525113147464387/www.taiwan.net.tw/2018taiwanlantern/0000444.html

2018臺灣燈會官方網站 (2018b)。網站導覽。取自 https://media.taiwan.net.tw/WebArchives/web/20180525113147464387/www.taiwan.net.tw/2018taiwanlantern/Sitemap.html

2018臺灣燈會官方網站 (2018c)。首頁。取自https://media.taiwan.net.tw/WebArchives/web/20180525113147464387/www.taiwan.net.tw/2018taiwanlantern/index.html

TRANSBIZ (2017.11.01造訪)。網頁設計色彩搭配9技巧，不能不知的色彩心理學。取自https://transbiz.com.tw/%E7%B6%B2%E9%A0%81%E8%A8%AD%E8%A8% 88%E8%89%B2%E5%BD%A9%E6%90%AD%E9%85%8D%E5%BF%83%E7%90%86%E5%AD%B8/

WebMart (2012)。什麼是登陸頁面 (Landing Page)？取自https://www.webmart.tw/blog/about-landing-page/

工作玩樂實驗室 (2016)。實例網站解說甚麼是Landing Page？取自
https://cola.workxplay.net/what-is-an-landing-page/

王英培（2005）。Web 日誌挖掘在數字圖書館個性化服務中的應用。科技情報開發與經濟，15(22)，8-9。

王焜臺 (2008)。你不可不知的顏色常識-橘色的色彩密碼。取自http://famous1993.pixnet.net/blog/post/38196341-%E4%BD%A0%E4%B8%8D%E5%8F%AF%E4%B8%8D%E7%9F%A5%E7%9A%84%E9%A1%8F%E8%89%B2%E5%B8%B8%E8%AD%98-%E6%A9%98%E8%89%B2%E7%9A%84%E8%89%B2%E5%BD%
A9%E5%AF%86%E7%A2%BC

王舜皇 (2002)。 三項元宵節活動吸引力與舉辦地特性之比較研究 (未出版碩士論文)。朝陽科技大學，臺中市。

王佳鳳、黃正聰、郭柏村 (2008)。用資料採礦於臺灣觀光資訊入口網站瀏覽行為分析。商業現代化學刊，4 (3)，55-66。

行政院官方網站 (2017)。璀璨28年，臺灣燈會的轉型升級。取自
https://www.ey.gov.tw/Page/5A8A0CB5B41DA11E/62ae8047-aa6e-4447-980f-22637e6736b0

江俊亮 (2017年2月17日)。2018臺灣燈會 嘉義縣主辦。中央通訊社。取自https:// today.line.me/tw/pc/article/
a021c3ba1857ee73b0382dd603a4e448d4ed46e17cecd891b3263b33b1007887

李美華、孔祥明、李明寰、林嘉娟、王婷玉、李承宇 (譯)(2004)。社會科學研究方法下。臺北市：時英出版社。(Earl Babbie., 2001)

李歌維（2007）。Web日誌挖掘數據預處理與數字圖書館個性化服務。情報雜誌，8，90-91。

林吉裕 (2013)。臺灣燈會光環境策展規劃與執行研究(未出版碩士論文)。國立臺灣師範大學，臺北市。

林克寰 (譯) (2011)。架站前一定要上的10堂課-網站企劃成功術。臺北市：貓頭鷹出版社。(Wodtke, C., & Govella, A., 2002)

林信成、洪銘禪 (2010)。應用 Google Analytics 於數位典藏網站計量分析。教育資料與圖書館學，47(3)，343-369。

林信成 (2012)。日誌分析。取自 http://terms.naer.edu.tw/detail/1679029/

吳國慶 (譯)(2007)。如何設計好網站-網頁配色與版型設計秘訣大公開。臺北市：上奇科技有限公司。(Jason Beaird., 2007)

陳祥、林明童 (2002)。我國 [電子化政府整合型入口網站] 使用者行為分析。 圖書館學與資訊科學，28(2)，1-13。

曾迺強 (2018，2月16日)。點亮嘉義！2018台灣燈會開幕。自由時報。取自https://news.ltn.com.tw/news/life/breakingnews/2343539
張鉯崴、賴文仁、張志弘 (2013)。 臺灣燈會遊客對地區觀光意象，遊覽滿意度與口碑推薦意願之研究-以 2013年新竹縣為例。運動休閒餐旅研究， 8(4)，106-130。

黃國彥 (2000a)。內容分析法。取自http://terms.naer.edu.tw/detail/1302710/

黃國彥 (2000b)。文件分析法。取自http://terms.naer.edu.tw/detail/1303274/

黃焜煌 (2003)。官方網站設計架構之探討。管理與系統，2，245-262。

博碩文化 (譯) (2008)。配色的魔法-能夠召喚幸運與感動的創意色彩學。新北市：作者。(Creative Room & Life Facilitation Lab., 2005)

楊帆 (2015)。無彩色系在平面設計領域中的運用研究(未出版碩士論文)。中國青島理工大學，中國青島市。

歐斯瑞有限公司 (2014)。網頁設計教學：【概念篇】臺灣網頁常用字型。取自https://www.astralweb.com.tw/most-popular-font-in-taiwan/

潘姿雨 (2017，12月29日)。我國上網率創歷史新高 網路族約1,738萬人。經濟日報。取自https://money.udn.com/money/story/5641/2901859

盧榮青 (2006)。網頁色彩設計的情感因素。關韶學院學報，27(7)，129-130。

謝文全 (2008)。教育行政學-理論與案例。臺北市：五南出版社。

謝育容 (譯) (2012)。網站使用者中心策略。臺北市：商業週刊。(武井由紀子、中島克彥、遠藤直紀，2006)

謝敏政 (2018，2月6日)。臺灣燈會在嘉義　業者共襄盛舉推優惠方案。臺灣好新聞。取自http://www.taiwanhot.net/?p=544025

蕭玗欣 (2017，2月17日)。交通部宣布 2018臺灣燈會在嘉縣、2019在屏縣。自由時報。取自http://news.ltn.com.tw/news/life/breakingnews/1978495

魏澤群 (2007)。優使性2.0。臺北市：網奕資訊科技股份有限公司。

交通部觀光局 (2019)。傳統節慶。取自https://www.taiwan.net.tw/m1.aspx?sNo=0001020

鐵生 (2014)。如何降低著陸頁面跳出率。計算機與網絡， 40(18)，42-43。

Ash, T., Ginty, M., & Page, R. (2012). Landing page optimization: The definitive guide to testing and tuning for conversions. Indianapolis, IN: John Wiley & Sons, Inc.

Bastida, U., & Huan, T. C. (2014). Performance evaluation of tourism websites' information quality of four global destination brands: Beijing, Hong Kong, Shanghai, and Taipei. Journal of Business Research, 67(2), 167-170.

Becker, H., Broder, A., Gabrilovich, E., Josifovski, V., & Pang, B. (2009) What Happens after an Ad Click？Quantifying the Impact of Landing Pages in Web Advertising. Paper presented at the Annual Meeting of the Association for Computing Machinery, Hong Kong.

Berry, M. J., & Linoff, G. (1997). Data mining techniques: for marketing, sales, and customer support. Indianapolis, IN: John Wiley & Sons, Inc.

Choi, Y., Fontoura, M., Gabrilovich, E., Josifovski, V., Mediano, M., & Pang, B. (2010, April). Using landing pages for sponsored search ad selection. Proceedings of the 19th international conference on World Wide Web, 251-260.

Chung, N., Lee, H., Lee, S. J., & Koo, C. (2015). The influence of tourism website on tourists' behavior to determine destination selection: A case study of creative economy in Korea. Technological Forecasting and Social Change, 96, 130-143.

Dragulanescu, N. G. (2002). Website quality evaluations: criteria and tools. The International Information & Library Review, 34(3), 247-254.

Fernández-Cavia, J., Rovira, C., Díaz-Luque, P., & Cavaller, V. (2014). Web Quality Index (WQI) for official tourist destination websites. Proposal for an assessment system. Tourism management perspectives, 9, 5-13.

Getz, D. (2008). Event tourism: Definition, evolution, and research. Tourism management, 29(3), 403-428.
Gofman, A. (2007). Consumer driven multivariate landing page optimization: overview, issues and outlook. The IPSI BgD Transactions on Internet Research, 3(2), 7-9.

Gunter, U., & Önder, I. (2016). Forecasting city arrivals with Google Analytics. Annals of Tourism Research, 61, 199-212.

Hsia, P. F., Yuan, Y.L., & Li, C. (2018). Understand the Behavior Profile of On-site Digital Tourists of Tourism Bureau Website Using Google Analytics Data. Asia Pacific Tourism Association 2018 Annual Conference. Symposium conducted at the meeting of Shangri-La Mactan Resort & Spa, Mactan (Cebu), Philippines.

Hsieh, Y.W., Li, C., Yuan, Y.L., Yung, C., & Huang, H.C. (2018). A perspective of destination management on Web log data and the official website. The 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, 6-9.

Jamali, H. R., Nicholas, D., & Huntington, P. (2005). The use and users of scholarly e-journals: a review of log analysis studies. Aslib Proceedings, 57(6), 554-571.
Kim, H., & Fesenmaier, D. R. (2008). Persuasive design of destination web sites：An Analysis of First Impression. Journal of Travel Research, 47(1), 3-13
.
Lehto, X.Y., Kim, D.Y., & Morrison, A.M.（2006）. The Effect of Prior Destination Experience on Online Information Search Behavior. Tourism and Hospitality
Research, 6(2), 160-178.

Li, X., & Wang, Y. (2010). Evaluating the effectiveness of destination marketing organizations' websites: Evidence from China. International journal of tourism research, 12(5), 536-549.

Lindgaard, G., Fernandes, G., Dudek, C., & Brown. (2006) Attention web designers: You have 50 milliseconds to make a good first impression! Behaviour & information technology, 25(2), 115-126.

Morrison, A. M., Taylor, J. S., & Douglas, A. (2005). Website evaluation in tourism and hospitality: the art is not yet stated. Journal of Travel & Tourism Marketing, 17(2-3), 233-251.

Nielsen, J. (1989). Usability engineering at a discount. The third international conference on human-computer interaction on Designing and using human-computer interfaces and knowledge based systems 2nd ed, 394-401.

Pakkala, H., Presser, K., & Christensen, T. (2012). Using Google Analytics to measure visitor statistics: The case of food composition websites. International Journal of Information Management, 32(6), 504-512.

Plaza, B. (2011). Google Analytics for measuring website performance. Tourism Management, 32(3), 477-481.

Ribeiro-Neto, B., Cristo, M., Golgher, P. B., & Silva de Moura, E. (2005). Impedance coupling in content-targeted advertising. The 28th annual international ACM SIGIR conference on Research and development in information retrieval, 496-503.

Rose, D. E., & Levinson, D. (2004). Understanding user goals in web search. The 13th international conference on World Wide Web, 13-19.

Schreiber, S., & Baier, D. (2015). Multivariate Landing Page Optimization Using Hierarchical Bayes Choice-Based Conjoint. Data Science, Learning by Latent Structures, and Knowledge Discovery, 465-474. (Lausen B., Krolak-Schwerdt S., Böhmer M. eds.). Berlin, Heidelberg, Germany: Springer.

Tierney, P. (2000). Internet-based evaluation of tourism web site effectiveness: Methodological issues and survey results. Journal of Travel Research, 39(2), 212-219.

Tseng, Y. H., Chang, C. Y., Rundgren, S. N. C., & Rundgren, C. J. (2010). Mining concept maps from news stories for measuring civic scientific literacy in media. Computers & Education, 55(1), 165-177.

Weller, M. (2004). Learning objects and the e-learning cost dilemma. Open Learning, 19(3), 293-302.

Widyantoro, D. H., & Yen, J. (2001). Using Fuzzy Ontology for Query Refinement in a Personalized Abstract Search Engine. The 20th NAFIPS International Conference, 1, 610-615.

White, R. W., Bilenko, M., & Cucerzan, S. (2007). Studying the use of popular destinations to enhance web search interaction. The 30th annual international ACM SIGIR conference on Research and development in information retrieval, 159-166. .

Yung, C., Chen, C., Yuan, Y., & Li, C. (2019). A Systematic Model of Big Data Analytics for Clustering Browsing Records into Sessions Based on Web Log Data. Journal of Computers, 14(2), 125-133.