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      The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives

      , , ,
      Accident Analysis & Prevention
      Elsevier BV

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          Abstract

          <p class="first" id="d6913930e71">Reducing the severity of injuries resulting from motor-vehicle crashes has long been a primary emphasis of highway agencies and motor-vehicle manufacturers. While progress can be simply measured by the reduction in injury levels over time, insights into the effectiveness of injury-reduction technologies, policies, and regulations require a more detailed empirical assessment of the complex interactions that vehicle, roadway, and human factors have on resulting crash-injury severities. Over the years, researchers have used a wide range of methodological tools to assess the impact of such factors on disaggregate-level injury-severity data, and recent methodological advances have enabled the development of sophisticated models capable of more precisely determining the influence of these factors. This paper summarizes the evolution of research and current thinking as it relates to the statistical analysis of motor-vehicle injury severities, and provides a discussion of future methodological directions. </p>

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          Author and article information

          Journal
          Accident Analysis & Prevention
          Accident Analysis & Prevention
          Elsevier BV
          00014575
          September 2011
          September 2011
          : 43
          : 5
          : 1666-1676
          Article
          10.1016/j.aap.2011.03.025
          21658493
          982b99dd-6081-492f-b6e0-0c6a183b6f5f
          © 2011

          http://www.elsevier.com/tdm/userlicense/1.0/

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