A Study On The Influencing Factors Of Tour Route Design In Outbound Tax Packages

In recent years, with the fast development of China’s economy and the enhancement of comprehensive national strength, the overall national living standards have been rising quickly. Hence, China’s outbound tourism market also has been manifesting a pattern of all-around development. Statistics from China Tourism Academy shows, by the year 2012, China has already been the world’s largest outbound tourism market. In 2014, the total number of people traveling abroad has reached 117 million. As the outbound tourism market is heating-up, different kinds of related academic research are also increasing. According to current research, Chinese scholars are mainly focusing on the development and prediction of outbound tourism market, customer behavior and strategy, as well as the influencing theory of outbound tourism and related managing system. Specific researches which focus on products of outbound tourism are very rare.This thesis takes packages group tours route in Europe and South-east Asia as an example, by obtaining the actual business records from enterprises which run the outbound tourism, and also by setting outbound package group tours route designed by travel agencies as the research object. Meanwhile, it sets the age, gender, birthplace, issuing place and booking order of individual tourist as individual feature factor variables, and sets the group departing season and social leisure time as the subject macro factor variables, and sets the number of group meal during trip, hotel quality, flight time, airline company level, landing and departing airport level, special transportation included during the trip, sightseeing spot level, number of entertainment, number of shopping place, days of itinerary, number of countries passed, number of cities passed and price per day as object influencing factor variables. By using IBM SPSS Statistics 22, it carried out a correlation analysis and regression analysis on the related factor variables, and calculated the level of influence on designed traveling route by different variables and exported correlated regression model equation.According to the conclusion of this research, tourism enterprises will learn more about the inside link of every related variable factor concerning packages group tour route. This will help tourism enterprises making full use of different resources in designing tourism route and make it more reasonable in the tourism industrial layout and reduce the relative running cost. Meantime, it could provide better packages group tour products to more tourists and make China’s outbound tourism further develop.