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Background: Despite the health benefits of urban green space, disparities in its access and use have long existed. Emerging evidence suggests an adverse impact of redlining, a discriminatory practice decades ago, on multiple health outcomes. However, whether and to what degree redlining contributes to these disparities remains unknown particularly during a pandemic. With newly available mobility data tracking the locations of large numbers of mobile devices, this study links historical redlining with changes in green space use during the COVID-19 pandemic., Objective: This study examines how changes in park visits during the lockdown period (3/23/2020-8/2/2020) are associated with redlining across census tracts in three large U.S. cities., Methods: HOLC neighborhood redlining grade data were merged with SafeGraph mobility data at census tract level for New York City, Chicago, and Philadelphia. Ordinary Least Square regressions were conducted to assess the association between dominant redlining grade and relative change in park visits in census tracts by comparing the lockdown period to the reference period. Spatial error and lag models were also used to account for potential spatial autocorrelation., Results: Park visits during the lockdown period in 2020 decreased by at least one-third in the three cities. The influence of redlining varied across neighborhoods and cities. In New York City, neighborhoods with more redlined areas experienced the largest drop, sharper decreases concentrated in neighborhoods previously graded as "best" or "still desirable" in Philadelphia, but the effect was barely present in Chicago. In addition, changes in park visits are positively correlated between neighborhoods in New York City and Chicago, but it's not observed in Philadelphia., Impact Statement: Using emerging big mobility data, our study revealed large drops in park visits, a better measure than commonly-used access measures in capturing green space exposure, during the lockdown period. We found that historical redlining has a lasting impact on current green space use. More decreases in park visits were observed in the redlined areas in New York City, but patterns vary by neighborhood and city due to local-specific neighborhood dynamics. And changes in park visits were spatially, positively correlated across places., (© 2023. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Working from home (WFH) has been adopted as a key mitigation strategy in the COVID-19 pandemic; yet few research has studied its impact on pandemic outcomes. Using multiple sources of data including cellphone data and online survey during the pandemic, this study investigates the effect of WFH on intra-city health disparities during the COVID-19 pandemic in American cities. Pandemic data for zip code tabulation areas and cellphone mobility data for census block groups in New York City (NYC), Chicago, and Philadelphia are converted to census tract level, which are then merged with 2019 census data. WFH is measured with the proportion of workers who potentially can telework based on employment composition in census tracts and percentages of jobs in each industry that actually WFH during the pandemic. Results show that while infection and death rates are higher in NYC, intra-city disparities in pandemic outcomes are more pronounced in Philadelphia. Poisson regressions show a negative association between WFH and COVID-19 infection and death rates in NYC and Chicago, which is weakened by increased time spent at home during the pandemic and in minority neighborhoods (in NYC). In Philadelphia, WFH is barely relevant for infection rates but has a marginally positive association with death rates, which is also moderated by the time spent at home. This study demonstrates the relative effectiveness of WFH in mitigating pandemic outcomes and underscores the intersectionality between WFH and race/ethnicity and resident behaviors. It provides important policy implications for future pandemic mitigation., (Published by Elsevier Ltd.)