This study was performed to calibrate safety performance functions (SPFs) to predict the number of injury crashes per year per km per 108 vehicles on the horizontal homogeneous segment of two-lane rural roads. The crashes were analyzed from the perspective of driver gender for three main injury crash types (head-on/side collisions, rear-end collisions, and single-vehicle run-off-road crashes) as observed on the network. More than 3,700 km of road network were analyzed with 2,242 crashes recorded from 2003 to 2010, of which 1,597 were injury, and 645 resulted in property damage only. Generalized estimating equations with a negative binomial distribution were implemented. An innovative variable was introduced in the models constructed by varying the crash type, the number and gender of the drivers, and the road scenario represented by a particular combination of infrastructure and environmental conditions surveyed on the site at the time of the crash. Lane width, horizontal curvature indicator, speed have also introduced as explanatory factors in the models. The study identified several different dangerous scenarios: female only drivers on a dry road surface in daylight on tangent segments increased the risk for head on/side collisions; male only drivers on a wet road surface in daylight on circular curves increased the risk for single vehicle crashes; and crashes involving both female and male drivers on a dry road surface in daylight on a circular curve increased the risk for head-on/side collisions. Countermeasures are suggested for reducing crash frequency such as awareness campaigns and road structural operations.

A STATISTICAL LOOK AT GENDER GAPS AS RELATED TO INJURY CRASH FREQUENCIES AND ROAD SCENARIOS

RUSSO, FRANCESCA;Biancardo, Salvatore Antonio
2013

Abstract

This study was performed to calibrate safety performance functions (SPFs) to predict the number of injury crashes per year per km per 108 vehicles on the horizontal homogeneous segment of two-lane rural roads. The crashes were analyzed from the perspective of driver gender for three main injury crash types (head-on/side collisions, rear-end collisions, and single-vehicle run-off-road crashes) as observed on the network. More than 3,700 km of road network were analyzed with 2,242 crashes recorded from 2003 to 2010, of which 1,597 were injury, and 645 resulted in property damage only. Generalized estimating equations with a negative binomial distribution were implemented. An innovative variable was introduced in the models constructed by varying the crash type, the number and gender of the drivers, and the road scenario represented by a particular combination of infrastructure and environmental conditions surveyed on the site at the time of the crash. Lane width, horizontal curvature indicator, speed have also introduced as explanatory factors in the models. The study identified several different dangerous scenarios: female only drivers on a dry road surface in daylight on tangent segments increased the risk for head on/side collisions; male only drivers on a wet road surface in daylight on circular curves increased the risk for single vehicle crashes; and crashes involving both female and male drivers on a dry road surface in daylight on a circular curve increased the risk for head-on/side collisions. Countermeasures are suggested for reducing crash frequency such as awareness campaigns and road structural operations.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/545495
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