id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-262594-kzt09vmf	Huang, X.	Time-series clustering for home dwell time during COVID-19: what can we learn from it?	2020-09-30		.txt	text/plain	5730	286	52	Taking Metro Atlanta as a study case, we perform a trend-driven analysis by conducting Kmeans time-series clustering using fine-grained home dwell time records from SafeGraph, and further assess the statistical significance of sixteen demographic/socioeconomic variables from five major categories. The objective of this study is to explore the capability of time-series clustering in categorizing fine-grained mobility records during the COVID-19 pandemic, and further investigate what demographic/socioeconomic variables differ among the categories with statistical significance. Taking advantage of the home dwell time at Census Block Group (CBG) level from the SafeGraph [17] , and using the Atlanta-Sandy Springs-Roswell metropolitan statistical area (MSA) (hereafter referred to as Metro Atlanta) as a study case, this study investigates the potential driving factors that lead to the disparity in the time-series of home dwell time during the COVID-19 pandemic, providing fundamental knowledge that benefits policy-making for better mitigation measures of future pandemics.	./cache/cord-262594-kzt09vmf.txt	./txt/cord-262594-kzt09vmf.txt