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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.
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