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Related risk factors for injury severity of e-bike and bicycle crashes in Hefei
- Source :
- Traffic injury prevention. 15(3)
- Publication Year :
- 2013
-
Abstract
- To explore the related risk factors of injuries caused by e-bike and bicycle crashes in Hefei, Anhui.Between June 2009 and June 2011, the records of injuries were triggered by e-bike and bicycle crashes in Hefei maintained by 105th Hospital of PLA. A form was designed to document patient age, gender, road user category (driver, passenger, pedestrian), safety factors (safety devices present, speed, traffic violations), environmental factors (time of trauma, light conditions, road surface), crash mode, impact type, and vehicle type.Of the 205 cases, 108 were female and 97 were male. One hundred forty-six patients suffered injuries due to e-bike accidents and 59 due to bicycle accident. The chi-squared test compared distribution of categorical variables suggested that age (P =.0250), road user category (P =.0278), traffic rule violations (P =.0132), crash mode (P =.0027), impact type (P =.0019), and vehicle type (P =.0219) are related to the severity of injuries caused by e-bike/bicycle crashes in Hefei. The multiple-factor nonconditional logistic regression analysis showed that injury severity is the most commonly sustained within the vehicle type (odds ratio [OR] = 14.418; 95% confidence interval [CI], 4.680-44.418), followed by crash mode (OR = 11.556; 95% CI, 4.430-30.142), traffic rule violations (OR = 4.735; 95% CI, 1.934-11.594), and age (OR = 2.910; 95% CI, 1.213-6.979).With the study of e-bike/bicycle crashes in Hefei, primary identification of the risk factors for the traffic injuries is obtained. These findings are important in decision making regarding preventive measures.
- Subjects :
- Adult
Male
China
Adolescent
Poison control
Crash
Pedestrian
Occupational safety and health
Transport engineering
Young Adult
Injury Severity Score
Risk Factors
Environmental health
Injury prevention
Medicine
Humans
Child
Aged
Aged, 80 and over
business.industry
Public Health, Environmental and Occupational Health
Accidents, Traffic
Human factors and ergonomics
Middle Aged
Bicycling
Child, Preschool
Regression Analysis
Female
business
Risk assessment
human activities
Safety Research
Subjects
Details
- ISSN :
- 1538957X
- Volume :
- 15
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Traffic injury prevention
- Accession number :
- edsair.doi.dedup.....1ff4f509ef4380683e367b826a8ee89e