The influence of the built environment on crash risk in lower-income and higher-income communities [R11]
收藏DataCite Commons2023-11-27 更新2025-04-16 收录
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https://dataverse.unc.edu/citation?persistentId=doi:10.15139/S3/VTYROH
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While previous research has consistently identified income as a significant factor in understanding community-level crash risk, the results of this study suggest that income has a far more complex relationship to crash incidence than has been previously supposed. The first and perhaps most notable finding is that while urban arterials are a risk factor for all areas, their negative effect on safety is profoundly greater in lower-income environments. For higher income communities, each additional mile of urban arterial is associated with a 9% increase in total and KAB crashes, though it did not prove to have a statistically meaningful relationship with pedestrian crashes. For lower-income communities, each mile of urban arterials is associated with a nearly 30% increase in total and KAB crashes, and a 19% increase in pedestrian crashes. For Orlando/Orange County, which has been identified by Smart Growth America (2019) as being the most dangerous region for pedestrians in the United States, these findings strongly suggest that the region needs to pay explicit attention to the effects of arterial design in lower-income communities.
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UNC Dataverse
创建时间:
2023-10-12



