인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
- 저자정보
초록·키워드
This study focuses on gastronomy tourism as a practical strategy for regional revitalization in the context of the emerging crisis of local extinction. The purpose of this research is to identify the core attributes of gastronomy tourism as perceived by consumers through big-data-based text analysis and to provide strategic implications for revitalizing local economies. Text data related to “gastronomy tourism” posted between January 1, 2023 and January 1, 2025 were collected from major portal sites such as Naver, Daum, and Google. Using the big data analysis solution TEXTOM, the collected data were refined and TF-IDF, semantic network analysis and CONCOR analysis were sequentially performed. The CONCOR analysis revealed that consumer perceptions of gastronomy tourism are structured into four core attribute clusters. These clusters were labeled “Popular Destinations and General Activities”, “Premium Dining and Stay Experience”, “Authentic Local Food Exploration” and “Cultural Festivals and Regional Contents.” This study empirically demonstrates through big data that contemporary gastronomy tourism is a complex activity that combines accommodation, culture, and experiential elements rather than simple food tasting. These findings can be utilized as fundamental data for developing high value-added fusion tourism products and for establishing tailored marketing strategies aimed at regional revitalization.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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