Predicting Severity and Duration of Road Traffic Accident
Joint Authors
Zong, Fang
Yu, Bo
Zhu, Xiumei
Wang, Lu
Xu, Hong-guo
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-02
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents a model system to predict severity and duration of traffic accidents by employing Ordered Probit model and Hazard model, respectively.
The models are estimated using traffic accident data collected in Jilin province, China, in 2010.
With the developed models, three severity indicators, namely, number of fatalities, number of injuries, and property damage, as well as accident duration, are predicted, and the important influences of related variables are identified.
The results indicate that the goodness-of-fit of Ordered Probit model is higher than that of SVC model in severity modeling.
In addition, accident severity is proven to be an important determinant of duration; that is, more fatalities and injuries in the accident lead to longer duration.
Study results can be applied to predictions of accident severity and duration, which are two essential steps in accident management process.
By recognizing those key influences, this study also provides suggestive results for government to take effective measures to reduce accident impacts and improve traffic safety.
American Psychological Association (APA)
Zong, Fang& Yu, Bo& Xu, Hong-guo& Zhu, Xiumei& Wang, Lu. 2013. Predicting Severity and Duration of Road Traffic Accident. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031971
Modern Language Association (MLA)
Zong, Fang…[et al.]. Predicting Severity and Duration of Road Traffic Accident. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1031971
American Medical Association (AMA)
Zong, Fang& Yu, Bo& Xu, Hong-guo& Zhu, Xiumei& Wang, Lu. Predicting Severity and Duration of Road Traffic Accident. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031971
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031971