Initial impact of COVID-19’s stay-at-home order on motor vehicle traffic and crash patterns in Connecticut: an interrupted time series analysis
| العنوان: | Initial impact of COVID-19’s stay-at-home order on motor vehicle traffic and crash patterns in Connecticut: an interrupted time series analysis |
|---|---|
| المؤلفون: | Mitchell L. Doucette, Amy Watkins, Kevin Borrup, Christa Green, David Shapiro, Andrew Tucker, Garry Lapidus, Marisa E Auguste, Flavia E. Pereira |
| المصدر: | Injury Prevention |
| بيانات النشر: | BMJ, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Automobile Driving, Coronavirus disease 2019 (COVID-19), Poison control, Transportation, Crash, Occupational safety and health, Interrupted Time Series Analysis, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, 0502 economics and business, Injury prevention, Vehicle miles of travel, Humans, 030212 general & internal medicine, Poisson regression, Travel, 050210 logistics & transportation, SARS-CoV-2, 05 social sciences, Accidents, Traffic, Public Health, Environmental and Occupational Health, COVID-19, Connecticut, Motor Vehicles, symbols, Environmental science, Demography |
| الوصف: | IntroductionUnderstanding how the COVID-19 pandemic has impacted our health and safety is imperative. This study sought to examine the impact of COVID-19’s stay-at-home order on daily vehicle miles travelled (VMT) and MVCs in Connecticut.MethodsUsing an interrupted time series design, we analysed daily VMT and MVCs stratified by crash severity and number of vehicles involved from 1 January to 30 April 2017, 2018, 2019 and 2020. MVC data were collected from the Connecticut Crash Data Repository; daily VMT estimates were obtained from StreetLight Insight’s database. We used segmented Poisson regression models, controlling for daily temperature and daily precipitation.ResultsThe mean daily VMT significantly decreased 43% in the post stay-at-home period in 2020. While the mean daily counts of crashes decreased in 2020 after the stay-at-home order was enacted, several types of crash rates increased after accounting for the VMT reductions. Single vehicle crash rates significantly increased 2.29 times, and specifically single vehicle fatal crash rates significantly increased 4.10 times when comparing the pre-stay-at-home and post-stay-at-home periods.DiscussionDespite a decrease in the number of MVCs and VMT, the crash rate of single vehicles increased post stay-at-home order enactment in Connecticut after accounting for reductions in VMT. |
| تدمد: | 1475-5785 1353-8047 |
| DOI: | 10.1136/injuryprev-2020-043945 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea73c420ee6cd3bd7fa205dc4dff61fc https://doi.org/10.1136/injuryprev-2020-043945 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....ea73c420ee6cd3bd7fa205dc4dff61fc |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14755785 13538047 |
|---|---|
| DOI: | 10.1136/injuryprev-2020-043945 |