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The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic

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International Journal of Digital Earth 2021年第4期14卷 424-442页

作者： Xiao Huang Zhenlong Li Yuqin Jiang Xinyue Ye Chengbin Deng Jiajia Zhang Xiaoming Li Department of Geosciences University of ArkansasFayettevilleARUSA Department of Geography University of South CarolinaColumbiaSCUSA Landscape Architecture and Urban Planning Texas A&M UniversityCollege StationTXUSA Department of Geography State University of New York at BinghamtonBinghamtonNYUSA Department of Epidemiology and Biostatistics University of South CarolinaColumbiaSCUSA Department of Health Promotion Educationand BehaviorUniversity of South CarolinaColumbiaSCUSA

This study reveals the human mobility from various sources and the luxury nature of social distancing in the U.S during the COVID-19 pandemic by highlighting the disparities in mobility dynamics from lower-income and upper-income counties.We collect,process,and compute mobility data from four different sources.We further design a responsive index(RI)based on the time series of mobility change percentages to quantify the general degree of mobility-based responsiveness to COVID-19 at the U.S.county level.We find statistically significant positive correlations in the RI between either two data sources,revealing their general similarity,albeit with varying Pearson’s r coefficients.Despite the similarity,however,mobility from each source presents unique and even contrasting characteristics,in part demonstrating the multifaceted nature of human mobility.The results suggest that counties with higher income tend to react more aggressively in terms of reducing more mobility in response to the COVID-19 pandemic.Most states present a positive difference in RI between their upper-income and lower-income counties,where diverging patterns in time series of mobility changes percentages can be found.The findings shed light on not only the characteristics of multi-source mobility data but also the mobility patterns in tandem with the economic disparity.

关键词： COVID-19 mobility responsive index visualization big data

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