Statistical Modeling of Grievous Road Traffic Accidents
Certain accident impact factors are often hidden in statistical models due to over-dispersion of traffic accident data. Given the limitations of the traditional statistical model to solve over-dispersion data, a random-parameters negative binomial (NB) regression model was applied to capture the heterogeneity of data distribution so as to identify factors that explain grievous road traffic accidents. Using 7-year data from grievous accidents in China, this paper carried out a simulated calculation of the proposed model. The empirical results show that compared to a fixed-parameters NB regression model, random-parameters models are quite enough to characterize the uncertainty of the accident and can greatly improve the validity of the empirical results.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412442
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Supplemental Notes:
- © 2012 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Li, Fangyuan
- Hu, Dawei
- Cao, Jing
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Conference:
- Twelfth COTA International Conference of Transportation Professionals
- Location: Beijing , China
- Date: 2012-8-3 to 2012-8-6
- Publication Date: 2012-8
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 2249-2256
- Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient
Subject/Index Terms
- TRT Terms: Crash data; Crash severity; Crashes; Regression analysis; Traffic crashes
- Geographic Terms: China
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I81: Accident Statistics;
Filing Info
- Accession Number: 01505226
- Record Type: Publication
- ISBN: 9780784412442
- Files: TRIS, ASCE
- Created Date: Jan 27 2014 11:02AM