Injury severities of truck drivers in single- and multi-vehicle accidents on rural highways
In adverse driving conditions, such as inclement weather and/or complex terrain, trucks are often involved in single-vehicle (SV) accidents in addition to multi-vehicle (MV) accidents. Ten-year accident data involving trucks on rural highway from the Highway Safety Information System (HSIS) is studied to investigate the difference in driver-injury severity between SV and MV accidents by using mixed logit models. Injury severity from SV and MV accidents involving trucks on rural highways is modeled separately and their respective critical risk factors such as driver, vehicle, temporal, roadway, environmental and accident characteristics are evaluated. It is found that there exists substantial difference between the impacts from a variety of variables on the driver-injury severity in MV and SV accidents. By conducting the injury severity study for MV and SV accidents involving trucks separately, some new or more comprehensive observations, which have not been covered in the existing studies can be made. Estimation findings indicate that the snow road surface and light traffic indicators will be better modeled as random parameters in SV and MV models respectively. As a result, the complex interactions of various variables and the nature of truck-driver injury are able to be disclosed in a better way. Based on the improved understanding of the injury severity of truck drivers from truck-involved accidents, it is expected that more rational and effective injury prevention strategy may be developed for truck drivers under different driving conditions in the future.
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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:
- Chen, Feng
- Chen, Suren
- Publication Date: 2011-9
Language
- English
Media Info
- Media Type: Print
- Features: References; Tables;
- Pagination: pp 1677-1688
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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 injury research; Injury severity; Logits; Multiple vehicle crashes; Risk analysis; Rural highways; Single vehicle crashes; Truck crashes; Trucks; Weather conditions
- Uncontrolled Terms: Mixed logit models
- Subject Areas: Motor Carriers; Safety and Human Factors; I83: Accidents and the Human Factor; I84: Personal Injuries;
Filing Info
- Accession Number: 01345842
- Record Type: Publication
- Files: TRIS, ATRI
- Created Date: Jul 29 2011 7:45AM