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제주관광공사의 실시간 관광지 혼잡도 분석 서비스 사례

Analysis of Case Study for Using Tourist Congestion: Jeju Tourism Organization's Real-Time Congestion Level Analysis System

  • 김민지 (경희대학교 스마트관광원) ;
  • 고선영 (제주관광공사, 데이터R&D그룹) ;
  • 정남호 (경희대학교 스마트관광원)
  • 투고 : 2021.07.19
  • 심사 : 2021.10.13
  • 발행 : 2021.10.31

초록

The spread of COVID-19 has been changed the tourism industry. Travelers changed their traveling style and started to consider congestion of the spot for their health and safety. In Jeju, a famous tourist destination in South Korea, managing the congestion of tourists has become an important issue. This example introduces the Jeju Tourism Organization's development of a system as a smart tourism information service that manages congestion in real-time big data. Combining with congestion theory and behavior immune system, we would like to assure the necessity of the system. Also, by analyzing the system, we understand how deducing congestion information from big data and the new paradigm of the tourism industry combined with congestion theory. Data was collected by Korea's telecommunication company SKT to develop the system. The paper explains the reason for choosing the company and the pros of data quality. We expect this system to be a solution for any other city in the world under a similar situation. Finally, several suggestions for the system are included to promote and better future usage.

키워드

과제정보

이 논문은 2019년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2019S1A3A2098438).

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