An exploration of pedestrian fatalities by race in the United States
Black and Native American pedestrians are disproportionately killed in the US, yet relatively little is known about how fatal crash patterns differ between races. The authors' multinomial logit analysis of six years of US pedestrian fatality data (2012–2017) and built environment and census data reveals notable differences between races compared to the baseline of White pedestrians, including that Black and Native American pedestrians were significantly more likely to have been killed in darkness, Black and Hispanic pedestrians under age 16 were significantly more likely to have been killed, and Asian pedestrians age 65 or older were significantly more likely to have been killed. Importantly, models with crash, built environment, and population data suggest critical connections between roadway design and population patterns that are risk factors for all pedestrians, but disproportionately affect certain races. The authors' findings highlight important risk factors for pedestrian safety and provide several areas for future research.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Sanders, Rebecca L
- Schneider, Robert J
- Publication Date: 2022-6
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 103298
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 107
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Built environment; Fatalities; Highway factors in crashes; Pedestrian safety; Pedestrian vehicle crashes; Race
- Geographic Terms: United States
- Subject Areas: Pedestrians and Bicyclists; Safety and Human Factors; Society;
Filing Info
- Accession Number: 01846855
- Record Type: Publication
- Files: TRIS
- Created Date: May 25 2022 9:35AM