New Risk Management Study Findings Recently Were Reported by Researchers at Oregon State University (An empirical analysis of run-off-road injury…

New Risk Management Study Findings Recently Were Reported by Researchers at Oregon State University (An empirical analysis of run-off-road injury severity crashes involving large trucks)

By a News Reporter-Staff News Editor at Insurance Weekly News -- Fresh data on Risk Management are presented in a new report. According to news reporting originating in Corvallis, Oregon, by VerticalNews journalists, research stated, "In recent years, there has been an increasing interest in understanding the contributory factors to run-off road (ROR) crashes in the US, especially those where large trucks are involved. Although there have been several efforts to understand large-truck crashes, the relationship between crash factors, crash severity, and ROR crashes is not clearly understood."

The news reporters obtained a quote from the research from Oregon State University, "The intent of this research is to develop statistical models that provide additional insight into the effects that various contributory factors related to the person (driver), vehicle, crash, roadway, and environment have on ROR injury severity. An ordered random parameter probit was estimated to predict the likelihood of three injury severity categories using Oregon crash data: severe, minor, and no injury. The modeling approach accounts for unobserved heterogeneity (i.e., unobserved factors). The results showed that five parameter estimates were found to be random and normally distributed, and varied across ROR crash observations. These were factors related to crashes that occurred between January and April, raised median type, loss of control of a vehicle, the indicator variable of speed not involved, and the indicator variable of two vehicles or more involved in the crashes. In contrast, eight variables were found to be fixed across ROR observations. Looking more closely at the fixed parameter results, large-truck drivers who are not licensed in Oregon have a higher probability of experiencing no injury ROR crash outcomes, and human related factor, fatigue, increases the probability of minor injury. The modeling framework presented in this work offers a flexible methodology to analyze ROR crashes involving large trucki while accounting for unobserved heterogeneity."

According to the news reporters, the research concluded: "This information can aid safety planners and the trucking industry in identifying appropriate countermeasures to help mitigate the number and severity of large-truck ROR crashes."

For more information on this research see: An empirical analysis of run-off-road injury severity crashes involving large trucks. Accident Analysis and Prevention, 2017;102():93-100. Accident Analysis and Prevention can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis and Prevention - www.journals.elsevier.com/accident-analysis-and-prevention/)

Our news correspondents report that additional information may be obtained by contacting N.S.S. Al-Bdairi, Oregon State University, Sch Civil & Construct Engn, Corvallis, OR 97331, United States.

Keywords for this news article include: Corvallis, Oregon, United States, North and Central America, Risk Management, Oregon State University.

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