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AI-based UAM Route Optimization Platform for Tourism on Jeju Island

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 통권
    2024 KMIS International Conference 추계국제학술대회 (2024.11)바로가기
  • 페이지
    pp.292-293
  • 저자
    Donghwa Yoon, Jungwoon Kang, Pradip Gubhaju, Sunsil Hur, Soyoung Park, Mincheol Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A472521

원문정보

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
Results
Conclusions
Acknowledgments
References

키워드

Personalized experience Artificial Intelligence Urban Air Mobility Tourist preferences and Jeju Island

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 ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    한국경영정보학회 정기 학술대회 [KMIS Conference]
  • 간기
    반년간
  • 수록기간
    1990~2025
  • 십진분류
    KDC 325 DDC 658

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