Earticle

초록

영어

With the recent changes in tourism trends, the demand for personalized travel experiences and hyper-personalization is increasing. At specific tourist destinations such as Jeju Island, various elements such as natural landscapes, marine scenery, and historical and cultural sites significantly influence tourist satisfaction and their intention to revisit. Accordingly, this study proposes a platform utilizing Artificial Intelligence (AI) technology to optimize UAM routes based on tourist preferences and provide personalized services. To achieve this, tourism big data was used to analyze preferred tourist destinations by season and landscape type, and based on this, an optimized UAM route and AI platform based on consumer preferences were developed. This platform, through an AI-based route recommendation system that reflects the preferences of individual tourists, aims to personalize the tourist experience and propose optimized routes that reflect local characteristics, thereby contributing to sustainable tourism development.

목차

Abstract
Introduction
Methods
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Acknowledgments
References

저자

• Donghwa Yoon [ Department of Management Information Systems, Faculty of Data Science for Sustainable Growth, Jeju National University ]
• Jungwoon Kang [ Department of Management Information Systems, Faculty of Data Science for Sustainable Growth, Jeju National University ]
• Pradip Gubhaju [ Department of Management Information Systems, Faculty of Data Science for Sustainable Growth, Jeju National University ]
• Sunsil Hur [ Department of Management Information Systems, Faculty of Data Science for Sustainable Growth, Jeju National University ]
• Soyoung Park [ Faculty of Data science for Sustainable Growth, Jeju National University ]
• Mincheol Kim [ Department of Management Information Systems, Faculty of Data Science for Sustainable Growth, Jeju National University ]

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