Chapter
Nov 12, 2013
Correlation Analysis of Driver Factors to Traffic Accident Severity
Authors: Jianfeng Xi [email protected], Haizhu Liu [email protected], Zhonghao Zhao [email protected], and Tongqiang Ding [email protected]Author Affiliations
Publication: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation
Abstract
With more than 10,000 entries of traffic accident data as the basis of study, this paper introduced Direct Property Loss and categorized Roadway Severity as a dependent variable. Predicated on previous correlation studies of objective factors and traffic accident severity, subjective driver factors were put forward in this paper, including driving experience index, driver's age, and accident responsibility, etc. Fifteen evaluation indicators were brought in to develop a traffic accident severity model based on multinomial logistic, of which seven were used after independent variables of weak correlation were singled out from a correlation analysis of independent variables. Tests of model's feasibility were conducted and passed, suggesting that subjective factors such as driving experience, age, and accident responsibility are in significant correlation with the severity of traffic accidents.
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© 2013 American Society of Civil Engineers.
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Published online: Nov 12, 2013
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College of Transportation, Jilin University, Changchun 130022, China; State Key Laboratory of Automotive Simulation and Control, Changchun 130022, China. E-mail: [email protected]
College of Transportation, Jilin University, Changchun 130022, China. E-mail: [email protected]
College of Transportation, Jilin University, Changchun 130022, China. E-mail: [email protected]
College of Transportation, Jilin University, Changchun 130022, China. E-mail: [email protected]
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