Search Query Volume Applicating to Forecast Cruise Line Booking Data / 關鍵字搜尋量應用於郵輪艙位訂購預測之研究

碩士 / 國立交通大學 / 運輸與物流管理學系 / 105 / Cruise line industry has been developed rapidly, especially passengers in asia, which grows 8-9% annually, might lead cruise line industry to become one of budding industry of asia. It’s important to forecaste passengers per sailings to cruise line managers. Although forecasting has been studing widly, most of researchers rely on historical data for forecasting. This study use Google Trend data, which is based on Google volume query data, for forecasting, and examine the forecasting model of cruise line booking data. There are two part of this study. First, to understand the ability of Google Trend data for forecasting. Second, examine the forecasting power in Taiwan. The result has suggested that Google Trend data can predict the booking data effectively.

Identiferoai:union.ndltd.org:TW/105NCTU5423010
Date January 2016
CreatorsWang,Wu-Chi, 王武吉
Contributors黃明居
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format36

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