| Summary: | 碩士 === 國立中興大學 === 資訊管理學系所 === 103 === Since the popularization of the two-day weekend and the improvement of public transit system, people begin to focus on leisure activities. The short-term domestic tourism activities are most prevalent. After the public bicycle system (iBike) import Taichung, prompting a convenience transportation system network and perfect for a tremendous impact on the tourism industry.
With the flourish and development of smart phones and wireless networks. The functions of mobile application are gradually powerful, and the travel information and experience sharing can be achieved in an instant.Hence, utilizing positioning systems to give users more personalized information and services, the development of applications are heading towards location-based services (LBS), drawing the applications’ functions closers to the needs of users.
Ant Colony Optimization (ACO) is one of the metaheuristics algorithms, commonly used to solve the traveling salesman problem (TSP), so ACO is suitable for tourism recommendation and travel planning.
As research areas for the Taichung, this study built a Personalized Location-based Mobile Tourism Application (PLMTA).Combined the hybrid filtering technology and ant colony optimization algorithms, made the performance of the system efficiently. And the tourism information based on Location-based service that allowed users to more effectively search travel information and arrange their trip. Also added the information of iBike for users as the transport reference let users feel the convenience of this system
This study integrated the Technology Acceptance Model (TAM), the Information System Success Model (ISSM) and the perceived convenience brought forward a research model that discusses users’ intention to use PLMTA. The study conducted questionnaires to collect information, and analyzed results by running hypothesis tests with Structural Equation Modeling (SEM). Results of this study showed that information quality, perceived ease of use, and perceived usefulness significantly affected intention to use PLMTA while information quality and perceived convenience influenced perceived usefulness. Also, Information quality, system quality, and perceived convenience had a significantly affect perceived ease of use and further affects intention to use.
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