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자료유형
학술저널
저자정보
김경원 주희선 (경상대학교)
저널정보
한국주거환경학회 주거환경 住居環境 통권 제21권 제3호 (통권 제61호)
발행연도
2023.9
수록면
83 - 100 (18page)

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COVID-19, which occurred in Wuhan at the end of 2019, spread around the world, and Korea also occurred in January 2020, and its high infectivity greatly affected the use of space in cities. In this study, inflow and outflow factors arising from COVID-19 and social distancing were analyzed using data from the SKT service population in Gyeongsangnam-do. The factors before and after COVID-19 were set as indicators to investigate the factors before and after COVID-19. As an analysis method, 2019 and 2020 were first visualized using Gyeongsangnam-do O/D data, and then community analysis and centrality analysis were used to find out whether the community and centrality actually changed in 2019 and 2020. After that, the spatial measurement model was used to find out the factors of the outflow and inflow population. The inflow of manufacturing, lodging, and service industries increased compared to the previous year, and the inflow of wholesale and retail industries decreased. It was found that universities were significant as a social factor, and the inflow population decreased in the area where the university was located, and the accessibility factor was not significant in 2019, but the inflow increased in the area where the bus stop was located compared to 2020. As for the outflow factors, in terms of land use factors, population density, number of houses, and urban parks were significant. It can be seen that the outflow population has increased in residential areas with high population density and number of houses and many urban parks. As economic factors, wholesale and retail, and educational service industries were significant. As a social factor, universities did not appear significantly, but the inflow factor decreased, and the outflow factor increased. Overall, the inflow is decreasing in the area where the university is located, and the outflow is increasing.

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Abstract
Ⅰ. 서론
Ⅱ. 문헌고찰
Ⅲ. 분석의 틀
Ⅳ. 통행행태 분석
Ⅴ. 사회네트워크 분석
Ⅵ. 유입 · 유출 요인 분석
Ⅶ. 결론
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