Analyzing the severity of accidents on the German Autobahn
The authors study the severity of accidents on the German Autobahn in the state of North Rhine-Westphalia using data for the years 2009 until 2011. They use a multinomial logit model to identify statistically relevant factors explaining the severity of the most severe injury, which is classified into the four classes fatal, severe injury, light injury and property damage. Furthermore, to account for unobserved heterogeneity they use a random parameter model. They study the effect of a number of factors including traffic information, road conditions, type of accidents, speed limits, presence of intelligent traffic control systems, age and gender of the driver and location of the accident. Their findings are in line with studies in different settings and indicate that accidents during daylight and at interchanges or construction sites are less severe in general. Accidents caused by the collision with roadside objects, involving pedestrians and motorcycles, or caused by bad sight conditions tend to be more severe. The authors discuss the measures of the 2011 German traffic safety program in the light of their results.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier.
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Authors:
- Manner, Hans
- Wünsch-Ziegler, Laura
- Publication Date: 2013-8
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 40-48
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Serial:
- Accident Analysis & Prevention
- Volume: 57
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0001-4575
- Serial URL: http://www.sciencedirect.com/science/journal/00014575
Subject/Index Terms
- TRT Terms: Crash causes; Crash severity; Highway safety; Injury severity; Multinomial logits; Traffic crashes
- Identifier Terms: Autobahn
- Geographic Terms: North Rhine-Westphalia (Germany)
- Subject Areas: Highways; Safety and Human Factors; I80: Accident Studies;
Filing Info
- Accession Number: 01485345
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 1 2013 9:54AM