Earticle

Exploring Oreum Visitation on Jeju Island: Time Series Analysis and Recommendations for Tourism Planning and Sustainability

원문정보

초록

영어
Jeju Island is home to 381 Oreums. Oreums are important not only as a representative feature of Jeju’s culture and environment but also for the economy as popular hiking destinations for locals and tourists alike. Despite the importance of Oreums for Jeju, limited analysis exists regarding the volume of visitation and popularity of each Oreum. This study uses time series analysis techniques (including smoothing, trend analysis, seasonality analysis and forecasting) to identify Oreum visitation patterns over a period of time. Using data from Jeju Data Hub, the average floating population is calculated to determine popularity for each Oreum. Then the Oreums are ranked accordingly. The study also explores the factors that may be influencing the popularity of the Oreums including location, accessibility, tourism infrastructure, marketing and cultural significance. The results of this research can be used to inform tourism development and management strategies in Jeju Island related to sustainable tourism promotion, local community support, and protection of the natural and cultural heritage of specific locations.

목차

Abstract
Introduction
The Importance of Focusing on the Oreums
Methods
Results
Conclusion
Acknowledgments
References

저자

  • Bye Paul Curtis [ Jeju National University Department of Management Information Systems Faculty of Data Science for Sustainable Growth ]
  • Priyana Panta [ Jeju National University Department of Management Information Systems Faculty of Data Science for Sustainable Growth ]
  • Walimuni Arachchilage Chathuri Sugandika Muthukumari [ Jeju National University Department of Management Information Systems Faculty of Data Science for Sustainable Growth ]
  • Donghwa Yoon [ Jeju National University Department of Management Information Systems Faculty of Data Science for Sustainable Growth ]
  • Ahmmed Md Jitu [ Jeju National University Department of Management Information Systems Faculty of Data Science for Sustainable Growth ]
  • Mincheol Kim [ Jeju National University ]
  • Jinhyun Ahn [ Jeju National University ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

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