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Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19
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 Angele...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222385/ https://www.ncbi.nlm.nih.gov/pubmed/34162894 http://dx.doi.org/10.1038/s41598-021-91392-z |
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author | Lin, Lei Shi, Feng Li, Weizi |
author_facet | Lin, Lei Shi, Feng Li, Weizi |
author_sort | Lin, Lei |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8222385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82223852021-07-02 Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19 Lin, Lei Shi, Feng Li, Weizi Sci Rep Article 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. Nature Publishing Group UK 2021-06-23 /pmc/articles/PMC8222385/ /pubmed/34162894 http://dx.doi.org/10.1038/s41598-021-91392-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lin, Lei Shi, Feng Li, Weizi Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19 |
title | Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19 |
title_full | Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19 |
title_fullStr | Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19 |
title_full_unstemmed | Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19 |
title_short | Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19 |
title_sort | assessing inequality, irregularity, and severity regarding road traffic safety during covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222385/ https://www.ncbi.nlm.nih.gov/pubmed/34162894 http://dx.doi.org/10.1038/s41598-021-91392-z |
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