New Findings Reported from C.K. Ding and Co-Authors Describe Advances in Risk Management (Motorcyclist Injury Risk As a Function of Real-life Crash Speed and Other Contributing Factors)
2019 FEB 27 (NewsRx) -- By a
The news correspondents obtained a quote from the research, “The aim of this study was to address this issue by developing multivariate injury risk models for motorcyclists that estimate the relationship between speed and injury severity. For that purpose, motorcycle injury crashes from the German In-Depth Accident Study (GIDAS) database for the period 1999-2017 (n = 1037) were extracted. Different models were tested using logistic regression and backwards elimination of non-significant variables. The best fitting model in the current study included relative speed, type of crash opponent, impact location on the motorcycle and impact mechanism of the rider during the crash. A strong and significant relationship between relative speed and injury severity in motorcycle crashes was demonstrated. At 70 km/h, the risk for at least serious injuries in collisions with wide objects, crash barriers and narrow objects was 20%, 51%, and 64%, respectively. Further, it was found that head-on collisions between motorcycles and passenger cars, with both vehicles traveling at 60 km/h (a relative speed at 120 km/h), present 55% risk of at least serious injury to the motorcycle rider. More research is needed to fully understand the boundary conditions needed to design a safe road transport system for motorcyclists. However, this study provides important insights into the relationship between speed and injury severity for riders in various crash situations.”
According to the news reporters, the research concluded: “The results may be useful in the discussion of appropriate speed limits and in determining the benefits of countermeasures which aim to reduce crash speed.”
For more information on this research see: Motorcyclist Injury Risk As a Function of Real-life Crash Speed and Other Contributing Factors. Accident Analysis & Prevention, 2019;123():374-386. Accident Analysis & Prevention can be contacted at:
Our news journalists report that additional information may be obtained by contacting
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2018.12.010. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
(Our reports deliver fact-based news of research and discoveries from around the world.)


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