Assessing Road Traffic Safety During COVID-19: Inequality, Irregularity, and Severity

October 22, 2020 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Lei Lin, Feng Shi, Weizi Li arXiv ID 2011.02289 Category physics.soc-ph Cross-listed cs.SI Citations 4 Venue arXiv.org Last Checked 4 months ago
Abstract
COVID-19 is affecting every social sector significantly, including human mobility and subsequently road traffic safety. In this study, we analyze the impact of the pandemic on traffic accidents using two cities, namely Los Angeles and New York City in the U.S., as examples. Specifically, we have analyzed traffic accidents associated with various demographic groups, how traffic accidents are distributed in time and space, and the severity level of traffic accidents that both involve and do not involve other transportation modes (e.g., pedestrians and motorists). We have made the following observations: 1) the pandemic has disproportionately affected certain age groups, races, and genders; 2) the "hotspots" of traffic accidents have been shifted in both time and space compared to time periods that are prior to the pandemic, demonstrating irregularity; and 3) the number of non-fatal accident cases has decreased but the number of severe and fatal cases of traffic accidents remains the same under the pandemic.
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