This Dataverse contains four sets of data used for the study entitled, "Uneven Recovery from the COVID-19 Pandemic: Post-lockdown Human Mobility Across Chinese Cities," by Yanyan Liu, Shuang Ma, and Ren Mu. They are the cross-city population flow data, infection cases data, lockdown and reopening dates data, and online posts and media mentions data.
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1 to 4 of 4 Results
InfectionCases.tab
Dec 4, 2020 - InfectionCases
Tabular Data - 2.4 KB - 3 Variables, 178 Observations - UNF:6:plN7lcx636Fljh862Vzf5A==
LockdownReopeningDates.tab
Dec 4, 2020 - LockdoownReopeningDates
Tabular Data - 10.3 KB - 4 Variables, 327 Observations - UNF:6:Ey08fUPn0D4YTs+NXS3FNA==
OnlinePostsMediaMentions.tab
Dec 4, 2020 - OnlinePostsMediaMentions
Tabular Data - 18.2 MB - 5 Variables, 306880 Observations - UNF:6:xOlgzn60WIt73l4QsIm0XA==
CrossCityPopulationFlows.tab
Dec 4, 2020 - CrossCityPopulationFlows
Tabular Data - 50.9 MB - 69 Variables, 116409 Observations - UNF:6:89XkHrwGktuRsrwEBtvT+g==
This dataset provides information on the daily human mobility index (an index of one 1 representing 152,624 persons) based on real-time location records for every smart phone using the Gaode Map app for 327 Chinese cities from December 21, 2019 to June 15, 2020.
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