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 out of University Park, Pennsylvania , by VerticalNews editors, research stated, "A nine-year (1999-2007) continuous panel of crash histories on interstates in Washington State, USA , was used to estimate random parameter negative binomial (RPNB) models for various aggregations of crashes. A total of 21 different models were assessed in terms of four ways to aggregate crashes, by: (a) severity, (b) number of vehicles involved, © crash type, and by (d) location characteristics." Our news journalists obtained a quote from the research from Pennsylvania State University , "The models within these aggregations include specifications for all severities (property damage only, possible injury, evident injury, disabling injury, and fatality), number of vehicles involved (one-vehicle to five-or-more-vehicle), crash type (sideswipe, same direction, overturn, head-on, fixed object, rear-end, and other), and location types (urban interchange, rural interchange, urban non-interchange, rural non-interchange). A total of 1153 directional road segments comprising of the seven Washington State interstates were analyzed, yielding statistical models of crash frequency based on 10,377 observations. These results suggest that in general there was a significant improvement in log-likelihood when using RPNB compared to a fixed parameter negative binomial baseline model. Heterogeneity effects are most noticeable for lighting type, road curvature, and traffic volume (ADT). Median lighting or right-side lighting are linked to increased crash frequencies in many models for more than half of the road segments compared to both-sides lighting. Both-sides lighting thereby appears to generally lead to a safety improvement. Traffic volume has a random parameter but the effect is always toward increasing crash frequencies as expected. However that the effect is random shows that the effect of traffic volume on crash frequency is complex and varies by road segment. The number of lanes has a random parameter effect only in the interchange type models." According to the news editors, the research concluded: "The results show that road segment-specific insights into crash frequency occurrence can lead to improved design policy and project prioritization." For more information on this research see: Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type. Accident Analysis and Prevention , 2013;59():309-318. 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.elsevier.com/wps/product/cws_home/336 ) Our news journalists report that additional information may be obtained by contacting N. Venkataraman , Pennsylvania State University , Dept. of Civil & Environm Engn , University Park, PA 16802, United States . Additional authors for this research include G.F. Ulfarsson and V.N. Shankar . Keywords for this news article include: Pennsylvania , United States , University Park , Risk Management, North and Central America Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC
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