Post COVID-19 pandemic recovery of intracity human mobility in Wuhan: Spatiotemporal characteristic and driving mechanism

Travel Behaviour and Society(2023)

引用 0|浏览17
暂无评分
摘要
•Observing long time series of intracity mobility recovery through Location Based Services (LBS) data.•Using Nonnegative Matrix Factorization (NMF) method to extract spatiotemporal recovery characteristics.•Analyzing driving factors of the post-pandemic recovery by multi-covariates and spatial lag model.•“Staggered time” policies applied in Wuhan led to a kind of “staggered peak and staggered area” mobility recovery.
更多
查看译文
关键词
COVID-19,Intracity mobility,Spatiotemporal analysis,Nonnegative matrix factorization,Spatial lag regression
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要