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Changes in the Number of Urban Park Users Due to the Spread of COVID-19: Time Series Big Data Analysis
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COVID-19 확산에 따른 도시공원 이용자 수의 변화 - 시계열 빅데이터 분석 -

논문 기본 정보

Type
Academic journal
Author
In Kwon Park (서울대학교) I Re Chung Dawon Oh (서울대학교) Yeerim Jung (서울대학교)
Journal
Korean Regional Science Association Journal of the Korean Regional Science Association Vol.37 No.2 KCI Accredited Journals
Published
2021.6
Pages
17 - 33 (17page)

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Changes in the Number of Urban Park Users Due to the Spread of COVID-19: Time Series Big Data Analysis
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This study empirically analyzes the effect of the spread of COVID-19 and the implementation of social distancing on the number of park users. To this end, we analyzed the time series data on the number of users and the COVID-19 outbreak at Olympic Park, a large-scale comprehensive urban park located in Songpa-gu, Seoul, and four neighborhood parks in the same municipality. And this was compared with the effect on the change in the number of users around Jamsil Lotte World, a representative indoor complex leisure space in Seoul. The analysis results are as follows: First, in small neighborhood parks located in residential areas, the number of users increased by 3 to 6% on average due to the implementation of the social distancing measures and the increase in the number of confirmed COVID-19 cases. In particular, it was found that changes in park use were sensitive to the increase in the intensity of social distancing. On the other hand, the number of users around Jamsil Lotte World decreased by 38% on average, and in the case of Olympic Park, the number of users decreased by 1.9% on average due to the spread of COVID-19. Considering that the number of the vehicle users representing remote users of Olympic Park has decreased by 23% on average, it is estimated that there is little change in the number of users in the surrounding areas. This suggests that urban parks, especially neighborhood parks in residential areas, play a role as a major refuge and leisure space for urban people in the event of a pandemic disaster such as COVID-19, and therefore need to be properly supplied and maintained.
#전염병 #도시공원 #여가공간 #시계열 분석 #빅데이터 #COVID-19 #pandemic #urban park #leisure space #time series analysis #big data

Contents

국문요약
Abstract
1. 서론
2. 이론 및 선행연구 고찰
3. 자료 및 방법
4. 실증분석 결과
5. 결론
참고문헌

References (53)

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강수진 / 2011 / 개인적, 사회적, 물리적 환경변인이 노인들의 신체활동에 미치는 영향 / 한국스포츠심리학회지 22(3):113~124 dbpia 강태경 / 2020 / 모바일 빅데이터로 본 코로나19 발생후 인구 이동과 개인 소비 변화 / 통계프리즘 2020(여름):37~45 google schola 김동준 / 2012 / 날씨가 자전거 이용에 미치는 영향 분석 - 고양시 공공자전거를 대상으로 - / 교통연구 19(3):77~88 dbpia 김문겸 / 2002 / 자본주의와 여가 / 사회연구 4:11~42 google schola 김용국 / 2019 / 포용적 생활 SOC 정책 추진을 위한 공원결핍지수 개발 연구 / 한국조경학회지 47(5):28~40 dbpia

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