A random parameters probit model of urban and rural intersection crashes

Tay, R 2015, 'A random parameters probit model of urban and rural intersection crashes', Accident Analysis and Prevention, vol. 84, pp. 38-40.

Document type: Journal Article
Collection: Journal Articles

Title A random parameters probit model of urban and rural intersection crashes
Author(s) Tay, R
Year 2015
Journal name Accident Analysis and Prevention
Volume number 84
Start page 38
End page 40
Total pages 3
Publisher Elsevier
Abstract Intersections are hazardous locations and many studies have been conducted to identify the factors contributing to the frequency and severity of intersection crashes. However, little attention has been devoted to investigating the differences between crashes at urban and rural intersections, which have different road, traffic and environmental characteristics. By applying a random parameters probit model to the data from the Canadian Province of Alberta between 2008 and 2012, we find that urban intersection crashes are more likely to be associated with hit and run behaviours, roads with higher traffic volume, wet surfaces, four lanes and skewed intersections, and crashes on weekdays and off-peak hours, whereas rural crashes are likely to be associated with increases in fatalities and injuries, roads with higher speed limits, special road features, exit and entrance terminals, gravel, curvature and two lanes, crashes during weekends, peak hours and night-time, run-off-road crashes, and police visit to crash scene. Hence, road safety professionals in urban and rural areas should consider these differences when designing and implementing counter-measures to improve intersection safety, especially their safety audits and reviews, enforcement activities and education campaigns, to target the more vulnerable times and locations in the different areas.
Subject Road Transportation and Freight Services
Keyword(s) Intersection crashes
Urban intersection
Rural intersection
Random parameters probit model
DOI - identifier 10.1016/j.aap.2015.07.013
Copyright notice © 2015 Elsevier Ltd. All rights reserved
ISSN 0001-4575
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Citation counts: TR Web of Science Citation Count  Cited 21 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 11 times in Scopus Article | Citations
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