Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones
Joint Authors
Ma, Lu
Yan, Xuedong
Zhang, Cuiping
An, Meiwu
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Traffic safety evaluation for traffic analysis zones (TAZs) plays an important role in transportation safety planning and long-range transportation plan development.
This paper aims to present a comprehensive analysis of zonal safety evaluation.
First, several criteria are proposed to measure the crash risk at zonal level.
Then these criteria are integrated into one measure-average hazard index (AHI), which is used to identify unsafe zones.
In addition, the study develops a negative binomial regression model to statistically estimate significant factors for the unsafe zones.
The model results indicate that the zonal crash frequency can be associated with several social-economic, demographic, and transportation system factors.
The impact of these significant factors on zonal crash is also discussed.
The finding of this study suggests that safety evaluation and estimation might benefit engineers and decision makers in identifying high crash locations for potential safety improvements.
American Psychological Association (APA)
Zhang, Cuiping& Yan, Xuedong& Ma, Lu& An, Meiwu. 2014. Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-513956
Modern Language Association (MLA)
Zhang, Cuiping…[et al.]. Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-513956
American Medical Association (AMA)
Zhang, Cuiping& Yan, Xuedong& Ma, Lu& An, Meiwu. Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-513956
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-513956