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Monitoring day and dark traffic collisions in Toronto neighbourhoods with implications for injury reduction and Vision Zero initiatives: A spatial analysis approach

•Vision Zero policy improves road safety and reduces traffic accidents and injuries.•Shared-component spatial modeling identifies area-specific risks in day and dark.•Space & time analysis identifies area-specific and mean area trends of injuries.•Bayesian probability estimation and GIS show spa...

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Published in:Accident analysis and prevention 2024-11, Vol.207, p.107728, Article 107728
Main Authors: Law, Jane, Petric, Alexander T.
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Language:English
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description •Vision Zero policy improves road safety and reduces traffic accidents and injuries.•Shared-component spatial modeling identifies area-specific risks in day and dark.•Space & time analysis identifies area-specific and mean area trends of injuries.•Bayesian probability estimation and GIS show spatiotemporal hotspots & cold spots.•Spatial epidemiology of socioeconomic, deprivation, & marginalization risk factors. The City of Toronto adopted a Vision Zero strategy in 2016 that aims to eliminate deaths and serious injuries from vehicular collisions. The strategy includes policies to improve lighting to reduce collision risks, and past research has suggested lighting as a road safety factor. We apply Bayesian spatial analysis (including Poisson log-normal regression modelling, shared component spatial modelling, and Bayesian spatiotemporal modelling) to publicly available data on traffic collisions where persons are killed or seriously injured (KSI) based on Day/Dark conditions. We assess (1) links between KSI risk and socioeconomic and built environment factors, (2) spatial distributions of relative Day & Dark KSI risk, and (3) area-specific trends in space and time for Day-Dark KSI risk change across Toronto neighbourhoods. Our analysis does not find significant associations between socioeconomic/built environment factors and KSI risk, but we uncover neighbourhoods with heightened Dark KSI risk and pronounced Day-Dark KSI changes compared to Toronto’s mean area trend. Findings highlight the need for increased policy attention for impacts of lighting on collisions and provide insight for focus regions for improved Vision Zero policy development.
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subjects Lighting
Spatial analysis
Toronto
Traffic collisions
Vision Zero
title Monitoring day and dark traffic collisions in Toronto neighbourhoods with implications for injury reduction and Vision Zero initiatives: A spatial analysis approach
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