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Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19.
Lin, Lei; Shi, Feng; Li, Weizi.
  • Lin L; Goergen Institute for Data Science, University of Rochester, Rochester, USA.
  • Shi F; Odum Institute for Research in Social Science, University of North Carolina at Chapel Hill, Chapel Hill, USA.
  • Li W; Department of Computer Science, University of Memphis, Memphis, USA. wli@memphis.edu.
Sci Rep ; 11(1): 13147, 2021 06 23.
Article in English | MEDLINE | ID: covidwho-1281728
ABSTRACT
COVID-19 has affected every sector of our society, among which human mobility is taking a dramatic change due to quarantine and social distancing. We investigate the impact of the pandemic and subsequent mobility changes on road traffic safety. Using traffic accident data from the city of Los Angeles and New York City, we find that the impact is not merely a blunt reduction in traffic and accidents; rather, (1) the proportion of accidents unexpectedly increases for "Hispanic" and "Male" groups; (2) the "hot spots" of accidents have shifted in both time and space and are likely moved from higher-income areas (e.g., Hollywood and Lower Manhattan) to lower-income areas (e.g., southern LA and southern Brooklyn); (3) the severity level of accidents decreases with the number of accidents regardless of transportation modes. Understanding those variations of traffic accidents not only sheds a light on the heterogeneous impact of COVID-19 across demographic and geographic factors, but also helps policymakers and planners design more effective safety policies and interventions during critical conditions such as the pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Safety / Accidents, Traffic / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Female / Humans / Male Country/Region as subject: North America Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-91392-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Safety / Accidents, Traffic / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Female / Humans / Male Country/Region as subject: North America Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-91392-z