Title

Geo-Spatial And Log-Linear Analysis Of Pedestrian And Bicyclist Crashes Involving School-Aged Children

Keywords

Bicycle crashes; Geographic Information Systems; Log-linear model; Pedestrian crashes; School children

Abstract

Problem: There is a growing concern with the safety of school-aged children. This study identifies the locations of pedestrian/bicyclist crashes involving school-aged children and examines the conditions when these crashes are more likely to occur. Method: The 5-year records of crashes in Orange County, Florida where school-aged children were involved were used. The spatial distribution of these crashes was investigated using the Geographic Information Systems (GIS) and the likelihoods of crash occurrence under different conditions were estimated using log-linear models. Results: A majority of school-aged children crashes occurred in the areas near schools. Although elementary school children were generally very involved, middle and high school children were more involved in crashes, particularly on high-speed multi-lane roadways. Driver's age, gender, and alcohol use, pedestrian's/bicyclist's age, number of lanes, median type, speed limits, and speed ratio were also found to be correlated with the frequency of crashes. Discussion: The result confirms that school-aged children are exposed to high crash risk near schools. High crash involvement of middle and high school children reflects that middle and high schools tend to be located near multi-lane high-speed roads. Impact on Industry: The pedestrian's/bicyclist's demographic factors and geometric characteristics of the roads adjacent to schools associated with school children's crash involvement are of interest to school districts. © 2007 National Safety Council and Elsevier Ltd.

Publication Date

11-20-2007

Publication Title

Journal of Safety Research

Volume

38

Issue

5

Number of Pages

571-579

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.jsr.2007.04.006

Socpus ID

36148967327 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/36148967327

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