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Epidemiology of pedestrian-MVCs by road type in Cluj, Romania
Journal article   Peer reviewed

Epidemiology of pedestrian-MVCs by road type in Cluj, Romania

Cara Hamann, Corinne Peek-Asa and Diana Rus
Injury prevention, Vol.21(2), pp.84-90
04/2015
DOI: 10.1136/injuryprev-2014-041266
PMCID: PMC5504526
PMID: 25178278
url
http://doi.org/10.1136/injuryprev-2014-041266View
Open Access

Abstract

Pedestrian-motor vehicle (PMV) crash rates in Romania are among the highest in all of Europe. The purpose of this study was to examine the characteristics of pedestrian-MVCs in Cluj County, Romania, on the two major types of roadways: national or local. Cluj County police crash report data from 2010 were used to identify pedestrian, driver and crash characteristics of pedestrian-MVCs. Crashes with available location data were geocoded and road type (national or local) for each crash was determined. Distributions of crash characteristics were examined by road type and multivariable logistic regression models were built to determine predictors of crash road type. Crashes occurring on national roads involved more teenagers and adults, while those on local roads involved more young children (0-12) and older adults (65+) (p<0.01). Crashes on national roads were more likely to have marked pedestrian crossings and shoulders compared with local crashes. Pedestrian-MVCs that involved a moving violation by the motorist were more likely to occur on national roadways (adjusted OR=1.93, 95% CI 1.07 to 3.49). Pedestrian-MVCs pose a considerable health burden in Romania. Results from this study suggest that factors leading to PMV crashes on national roads are more likely to involve driver-related causes compared with local roads. Intervention priorities to reduce pedestrian crashes on national roads should be directed towards driver behaviour on national roads. Further examination of driver and pedestrian behaviours related to crash risk on both national and local roads, such as distraction and speeding, is warranted.
Age Distribution Romania - epidemiology Humans Middle Aged Child, Preschool Infant Logistic Models Male Young Adult Accidents, Traffic - statistics & numerical data Adolescent Aged, 80 and over Adult Environment Design Female Pedestrians - statistics & numerical data Aged Child

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