메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
심혜영 (Seoul National University) 김문현 (Seoul National University) 손휘주 (Seoul National University)
저널정보
대한국토·도시계획학회 국토계획 國土計劃 第57卷 第4號(通卷 第264號)
발행연도
2022.8
수록면
94 - 104 (11page)
DOI
10.17208/jkpa.2022.08.57.4.94

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
The COVID-19 pandemic has changed the mobility behavior of urban people. To prepare a prompt response to the post-COVID era and to improve city resilience for the next generation, this study seeks to understand the mobility changes and analyzes the factors that affected the change. This study assumes that mobility changes on weekdays, weekends, and internal and external mobility will occur differently due to COVID-19. The dependent variable is a difference in Living Population (LP) in 2020 compared to 2019, and the explanatory variables are factors in population density, car ownership density, land use, temperature, precipitation, and COVID-19-related policy factors, including the frequency of emergency texts, the number of confirmed cases, and daily press releases. Since the data are approximately one-day units for two years and 25 districts in Seoul, panel Generalized Least Squares was applied to control heterogeneity and time-series autocorrelation in the panel data. The result indicates that news frequency increases internal mobility and decreases external mobility regardless of weekdays or weekends, which means long-distance mobility was substituted by mobility in the nearby areas. The COVID-19-related policy factors are found to be effective in controlling urban mobility, and alternatives to provide COVID-19 information transparently should be considered at a more detailed level, depending on the measured taken by different districts to manage the post-COVID era changes.

목차

Abstract
Ⅰ. 서론
Ⅱ. 코로나19와 모빌리티 관련 선행연구 고찰
Ⅲ. 연구의 범위 및 분석 방법
Ⅳ. 분석 결과
Ⅴ. 결론 및 연구의의
인용문헌References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2022-539-001694119