The Study of the Tourist Hotel Accommodation Demand Forecasting for Tourist of Japan

碩士 === 銘傳大學 === 觀光事業學系碩士班 === 103 === The purpose of this study is to observe the statistical results of changes in the Japanese leisure traveling and the number of cases. The use of regression analysis method was employed to construct a predictive model of Japanese tourist hotel accommodation needs...

Full description

Bibliographic Details
Main Authors: Mei-Hsia Tsai, 蔡美霞
Other Authors: Chih-Fu Hsu
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/35263079970642629901
Description
Summary:碩士 === 銘傳大學 === 觀光事業學系碩士班 === 103 === The purpose of this study is to observe the statistical results of changes in the Japanese leisure traveling and the number of cases. The use of regression analysis method was employed to construct a predictive model of Japanese tourist hotel accommodation needs impact and variables for regression analysis in order to forecast accommodation demand of tourists from Japan to Taiwan. Accounting data is provided monthly by the Ministry of Transportation and Communications from 2009 to 2013. All input variables were collected by literature survey, market analysis and preliminary evaluation to determine the input variable and the resulting data is tested with the impact prediction model. This study used econometric regression model and selected various macroeconomic variables, such as the tourist number of Taiwan lodging, the average hotel rates and the occupancy number and occupancy rates and The number of mainland accommodation and the number of North America accommodation and the number of Europe accommodation and The number of people lodging and The number of Asian Accommodation and The number of Australia Accommodation in the regious of Taiwan, to predict how accommodation needs of Japan-to-Taiwan tourism is affected. Through review of the relevant literature of the destination market analysis, construction of the Japan-to-Taiwan accommodation demand model by regression analysis (exhibiting a variance of 85.6%) showed that the average price and the occupancy number impact of the tourist hotel accommodation needs of Taiwan-to-Japan''s tourism was impacted the most. In conclusion, the results of study will hopefully benefit the decision-making policies of hotel business leaders and allow a better understanding of the needs and impacts on their clientele.