Publication date: Sep 27, 2024
At the beginning of the COVID-19 pandemic in the US, traffic sharply fell due to social distancing policies in many locations. Correspondingly, many regions observed an increase in traffic volume (traffic recovery) as the pandemic eased in 2022. We examine how vaccination rates influence traffic recovery in Los Angeles County (LAC), controlling for differences in case counts, demographics, and socioeconomic factors across areas with different vaccination rates. We use arterial road sensor data as a proxy for the traffic volume within each ZIP code, alongside their respective demographic and socioeconomic characteristics. We find that a higher vaccination rate is statistically significantly associated with a larger traffic recovery, a finding that remains consistent across all explored models. This implies that an increased vaccination rate could reduce the public’s perception of the risks of disease infection, leading to a larger traffic recovery. Moreover, we found that variables including population, income, race, work industry, and commuting preferences were correlated with vaccination rates. This highlights potential inequalities based on race, income, and industry sectors in the COVID-19 vaccination and a return to normal traffic flow.
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Concepts | Keywords |
---|---|
Eased | COVID-19 |
Models | COVID-19 Vaccines |
Pandemic | COVID-19 Vaccines |
Traffic | Humans |
Vaccination | Los Angeles |
Pandemics | |
SARS-CoV-2 | |
Socioeconomic Factors | |
Transportation | |
Vaccination |
Semantics
Type | Source | Name |
---|---|---|
disease | MESH | COVID-19 |
disease | MESH | infection |
drug | DRUGBANK | Coenzyme M |
drug | DRUGBANK | Ranitidine |