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Journal ArticleDOI

Geo-spatial and log-linear analysis of pedestrian and bicyclist crashes involving school-aged children

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TLDR
The result confirms that school-aged children are exposed to high crash risk near schools, and high crash involvement of middle and high school children reflects thatmiddle and high schools tend to be located near multi-lane high-speed roads.
About: 
This article is published in Journal of Safety Research.The article was published on 2007-01-01. It has received 96 citations till now. The article focuses on the topics: Crash & Poison control.

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Citations
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Effect of street pattern on the severity of crashes involving vulnerable road users.

TL;DR: The results showed that compared to other street patterns, loops and lollipops design increases the probability of an injury but reduces the possibility of fatality and property-damage-only in an event of a crash.
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Child Pedestrian Injury A Review of Behavioral Risks and Preventive Strategies

TL;DR: This article reviews the literature on behavioral risk factors for child injury, and discusses parent instruction strategies, school-based instruction strategies (including crossing guards), and streetside training techniques for child pedestrian injury prevention.
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Risk factors for severe injury in cyclists involved in traffic crashes in Victoria, Australia

TL;DR: In this article, the authors examined the impact of cyclist, road and crash characteristics on the injury severity of cyclists involved in traffic crashes reported to the police in Victoria, Australia between 2004 and 2008.
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Identifying clusters and risk factors of injuries in pedestrian-vehicle crashes in a GIS environment

TL;DR: The results showed that suburban high-activity corridors, where state highways intersect local streets, significantly elevated injury risks in crashes compared to other areas and the risk factors highlight the need for heightened investigation and education in the specific areas and populations.
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Pedestrian temporal and spatial gap acceptance at mid-block street crossing in developing world

TL;DR: The insights from this study can be used for the safety and performance evaluation of uncontrolled midblock street crossings in developing countries.
References
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Spatial Variation in Road Pedestrian Casualties: The Role of Urban Scale, Density and Land-use Mix:

TL;DR: In this paper, the authors examined the role of urban scale, density and land-use mix on the incidence of road pedestrian casualties and found that the characteristics of the local environment have a powerful influence on pedestrian casualties.
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Child pedestrians' crossing gap thresholds

TL;DR: Analysis of the thresholds for distance gap judgements for the 4-m half-street crossing showed that some of the older children could be expected to make safe decisions, but this was not so for the 5-6- and 8-9-year-olds at vehicle approach speeds above 60 kph.
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Fatal pedestrian accidents in france: a typological analysis

TL;DR: A typology of pedestrian accidents is proposed, based on a correspondence analysis, followed by a classification, which clearly identifies four groups: elderly pedestrians who were crossing a road in an urban area; children involved in daytime accidents in urban areas whilst playing or running; intoxicated pedestrians involved in night-time accidents in the country whilst walking on the carriageway; pedestrians involved on secondary accidents and changes of transport mode.
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An ecological study of the locations of schools and child pedestrian injury collisions

TL;DR: Examination of annual rates of child pedestrian injury in four California communities with a focus on the unique contribution of schools to injury risk showed that annual numbers of injuries were greater in areas with higher youth population densities, more unemployment, fewer high-income households, and greater traffic flow.
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Analysis of pedestrian and bicycle casualties with regional panel data

TL;DR: In this article, a cross-sectional time series data for the regions of Great Britain was used for pedestrian and bicycle casualties by using a fixed-effect negative binomial model that accounts for heterogeneity in the data and the distributional properties of count data.
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