The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives
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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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier
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Authors:
- Savolainen, Peter T
- Mannering, Fred L
- Lord, Dominique
- Quddus, Mohammed A
- Publication Date: 2011-9
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 1666-1676
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Serial:
- Accident Analysis & Prevention
- Volume: 43
- Issue Number: 5
- Publisher: Elsevier
- ISSN: 0001-4575
- Serial URL: http://www.sciencedirect.com/science/journal/00014575
Subject/Index Terms
- TRT Terms: Crash injuries; Crash injury research; Crashes; Evaluation and assessment; Injury severity; Logits; Methodology; Motor vehicles; Probits; Statistics
- Uncontrolled Terms: Discrete analysis
- Subject Areas: Highways; Safety and Human Factors; I81: Accident Statistics;
Filing Info
- Accession Number: 01345833
- Record Type: Publication
- Files: TRIS, ATRI
- Created Date: Jul 29 2011 7:45AM