کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
572493 1452940 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analyzing the severity of accidents on the German Autobahn
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بهداشت و امنیت شیمی
پیش نمایش صفحه اول مقاله
Analyzing the severity of accidents on the German Autobahn
چکیده انگلیسی

We study the severity of accidents on the German Autobahn in the state of North Rhine-Westphalia using data for the years 2009 until 2011. We 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 we use a random parameter model. We 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. Our 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. We discuss the measures of the 2011 German traffic safety programm in the light of our results.


• Factors influencing accident severities on German highways are very similar to those on different road types.
• Collisions, involvement of pedestrians and motorcycles, and bad sight conditions lead to more severe accidents.
• Accidents during daylight and at connectors or construction sites are less severe in general.
• The measures proposed in the 2011 German traffic safety program are confirmed to be reasonable by our empirical results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Accident Analysis & Prevention - Volume 57, August 2013, Pages 40–48
نویسندگان
, ,