빅데이터를 활용한 캠핑 트렌드 분석 - 코로나19 이후 변화를 중심으로 -
Analysis of Camping Trand using Big Data - Focusing on the Changes since Covid-19 -
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The trend of travel industry is transferring as the public’s lives show an overall change due to COVID-19. According to the National Leisure Activity Survey, the most popular leisure activity during holidays was camping. The public’s trend as ‘untact’ and ‘social distancing’ is being routinized. This study aims to not only develop the camping industry, but to raise the satisfaction level of the customers through the qualitative improvement of camping by analysis of camping trend before and after the COVID-19 with big data. This study utilized Textom, the big data collection and analysis tool, conducted by social big data, TF-IDF and N-Gram Network analysis through text mining, putting ‘camping’ as a keyword. The result indicated the change in camping trend that was enjoyed in well-equipped spaces, such as motor home, caravan, and glampsite, in 2018, were being diversified and simplified to auto camping, outdoor camping, and home camping after the COVID-19. Moreover, camping merchandise is being diversified, camping goods are being used to produce, sell, and promote sales by diverse industries including the camping merchandise industry, and broadcast are competitively producing camping programs. Lastly, also indicated that camping, which was enjoyed by utilizing the spare time during weekends with families in nature, is developing into a culture that is being enjoyed alone during the weekdays.
Abstract
The trend of travel industry is transferring as the public’s lives show an overall change due to COVID-19. According to the National Leisure Activity Survey, the most popular leisure activity during holidays was camping. The public’s trend as ‘untact’ and ‘social distancing’ is being routinized. This study aims to not only develop the camping industry, but to raise the satisfaction level of the customers through the qualitative improvement of camping by analysis of camping trend before and after the COVID-19 with big data. This study utilized Textom, the big data collection and analysis tool, conducted by social big data, TF-IDF and N-Gram Network analysis through text mining, putting ‘camping’ as a keyword. The result indicated the change in camping trend that was enjoyed in well-equipped spaces, such as motor home, caravan, and glampsite, in 2018, were being diversified and simplified to auto camping, outdoor camping, and home camping after the COVID-19. Moreover, camping merchandise is being diversified, camping goods are being used to produce, sell, and promote sales by diverse industries including the camping merchandise industry, and broadcast are competitively producing camping programs. Lastly, also indicated that camping, which was enjoyed by utilizing the spare time during weekends with families in nature, is developing into a culture that is being enjoyed alone during the weekdays.
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