Understanding the Relationship between Social Distancing Policies, Traffic Volume, Air Quality, and the Prevalence of COVID-19 Outcomes in Urban Neighborhoods
Daniel L. Mendoza (1, 2), Tabitha M. Benney (3), Rajive Ganguli, (4), Rambabu Pothina (4), Benjamin Krick (3), Cheryl S. Pirozzi (5), Erik T., Crosman (6), Yue Zhang (7) ((1) Department of Atmospheric Sciences,, University of Utah, Salt Lake City, Utah USA

TL;DR
This study examines how social distancing policies affected traffic, air quality, and COVID-19 rates across socioeconomic groups in Salt Lake County, revealing disparities in policy impact and health outcomes.
Contribution
It provides empirical evidence on the differential effects of social distancing policies on various communities and their relation to COVID-19 prevalence and air quality.
Findings
Wealthier and whiter areas saw greater reductions in traffic and air pollution.
Lower socioeconomic status correlates with higher COVID-19 positive rates.
Air quality changes are complex and not solely dependent on traffic volume.
Abstract
In response to the COVID-19 pandemic, governments have implemented policies to curb the spread of the novel virus. Little is known about how these policies impact various groups in society. This paper explores the relationship between social distancing policies, traffic volumes and air quality and how they impact various socioeconomic groups. This study aims to understand how disparate communities respond to Stay-at-Home Orders and other social distancing policies to understand how human behavior in response to policy may play a part in the prevalence of COVID-19 positive cases. We collected data on traffic density, air quality, socio-economic status, and positive cases rates of COVID-19 for each zip code of Salt Lake County, Utah (USA) between February 17 and June 12, 2020. We studied the impact of social distancing policies across three periods of policy implementation. We found that…
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