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.
피인용 0
초록·키워드
With the global spread of COVID-19, the aviation industry has faced unprecedented shocks and crises. This study compares airline selection attributes before and during COVID-19. Through online reviews of passengers written, this study compares and analyzes passengers’ emotional responses and airline selection attributes in the aviation industry. This study obtains some meaningful results by text mining 30,226 online reviews written by passengers on TripAdvisor. This study utilizes Word2Vec model to conduct a similarity calculation process. The results show that COVID-19, which in the daily lives of the populace appeared as an emotional response such as fear, anger, and sadness, affects the use of airlines. During COVID-19, passengers’ emotional responses in limited spaces such as airports and cabins increased their negative emotions by 21.4%p compared to pre-pandemic. It has been confirmed through online texts written by passengers that their negative emotions due to COVID-19 increased. This study finds a new dimension, crisis coping that passengers consider when using airlines in crisis situations such as COVID-19. It is confirmed that in a crisis caused by infectious diseases passengers’ interests on air travel decreased, and interest in airline response systems such as quarantine guidelines, reservation changes, and refunds implemented by airlines in a crisis caused by infectious diseases increased.
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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