지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.7
- 수록면
- 109 - 130 (22page)
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초록· 키워드
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The prediction method of the tourism industry is an important analytical technique, it must provide for the changing situation in an accurate prediction. Studies on the forecast tourists are situations actively carried out, it is necessary to expand the tourist facilities can be used to forecast with various circumstances to accommodate the tourists. The purpose of this study is as followings. First, seeking a monthly index of the number of tourists from Jeju Island on Asian inbound tourist is priority, Second, This study propose a series prediction model when predicting the number of tourists from Jeju Island on Asian inbound tourist. Third, depending on the numerical value is changed in accordance with the pattern of the month. it seeks to provide results summary of the study for tourism development at Jeju. The results of the study are as followings. First, the demand of foreign tourists of Jeju Island Chinese inbound tourist is intended to increase steadily until 2019, it is not affected by seasonality. Thus, visiting jeju continuously is expected. Second, demand for Japanese foreign tourists of Jeju Island is intended to decrease until 2019 which are affected by seasonality. Month with the most demand of Japanese tourists is May, Japanese usually do not like the trip to Jeju Island at winter. Third, the demand for Southeast Asian foreign tourists and other asian tourist of Jeju Island is intended to increase slightly until 2019. It was predicted that the most visited month is December.
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UCI(KEPA) : I410-ECN-0101-2018-326-002144681