碩士 / 國立政治大學 / 統計學系 / 106 / This is an era of big data; some people even regard that the person who owns the data controls the world. With the rapid development of the Internet, the applications of big data attract attention from various industries and the skills of data analysis are upgrading rapidly. Therefore, traditional tourism industry needs to be transformed to avoid being eliminated. Business attempts to discover the market demand and provide precision marketing by analyzing massive data from consumer behavior, personal information and transaction records. The final object is to improve customer service satisfaction, and bring in more business opportunities. The purpose is to understand the customers more furtherer and detailed. Instead of using simple statistical analysis of consumer information like traditional tourism database, it focuses more on the psychological states of tourists and the travel experience currently. The final objective is to meet tourists’ demand; therefore, the accumulated data of customers are managed, modeled and shared appropriately in this research.
An online survey with questionnaire is designed to investigate travel preference of young group. After understanding the psychological research of target customers, the Logistic regression analysis is used to analyze the collected data and build a model. The model is able to discover the target group of each travelling style, and further provide itinerary recommendation. The future plan is to enhance the application of this concept of attraction recommendation model by combining the precise calculation of transportation and cost. Simultaneously, public opinion analysis is used to analyze the popular attractions which young adults are preferred. The ultimate objective is to provide a complete route plan for a trip as a reference for travel agency to develop new travel product.
Identifer | oai:union.ndltd.org:TW/106NCCU5337005 |
Date | January 2018 |
Creators | 王品方 |
Contributors | , 鄭宇庭, 郭訓志 |
Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
Language | zh-TW |
Detected Language | English |
Type | 學位論文 ; thesis |
Format | 67 |
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