Analyzing Severe Injury Risk for Crashes Nationally and Within Iowa
Two logistic regression models were used in the comparison of Iowa and U.S. crashes. Of particular interest is the risk of severe injury for male and female drivers within three age groups: middle-age (35-54), older (55-74), and elderly (75 and older). Within Iowa, male drivers have a higher risk of severe injury than female drivers (Odds Ratio = 1.15). However, nationally, male drivers have a lower risk of severe injury than female drivers (Odds Ratio = 0.85). Iowa drivers between the ages of 55 and 74 have the highest risk of severe injury, whereas nationally, drivers over the age of 75 have a greater risk. The differences in gender and age effects are discussed. Among the issues considered are the role of seatbelts in reducing injury and factors related to changes in driving patterns among older and elderly drivers.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780965231084
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Corporate Authors:
Center for Transportation Research and Education
2711 South Loop Drive, Suite 4700
Ames, IA United States 50010-8664 -
Authors:
- Hill, John D
- Boyle, Linda Ng
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Conference:
- The 2005 Mid-Continent Transportation Research Symposium
- Location: Ames Iowa, United States
- Date: 2005-8-18 to 2005-8-19
- Publication Date: 2005
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: 9p
- Monograph Title: Proceedings of the 2005 Mid-Continent Transportation Research Symposium
Subject/Index Terms
- TRT Terms: Aged drivers; Crash analysis; Crash injuries; Females; High risk locations; Injury severity; Logistics; Males; Regression analysis; Risk analysis; Safety; Traffic safety
- Geographic Terms: Iowa
- Subject Areas: Data and Information Technology; Freight Transportation; Highways; Safety and Human Factors; I80: Accident Studies;
Filing Info
- Accession Number: 01004338
- Record Type: Publication
- ISBN: 9780965231084
- Files: TRIS
- Created Date: Sep 30 2005 8:12AM