Literature DB >> 21658494

Injury severities of truck drivers in single- and multi-vehicle accidents on rural highways.

Feng Chen1, Suren Chen.   

Abstract

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 on 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.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21658494     DOI: 10.1016/j.aap.2011.03.026

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  55 in total

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Journal:  Int J Environ Res Public Health       Date:  2016-11-10       Impact factor: 3.390

8.  Identifying the Factors Contributing to the Severity of Truck-Involved Crashes in Shanghai River-Crossing Tunnel.

Authors:  Shengdi Chen; Shiwen Zhang; Yingying Xing; Jian Lu
Journal:  Int J Environ Res Public Health       Date:  2020-05-01       Impact factor: 3.390

9.  Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling.

Authors:  Khaled Shaaban; Sherif Gaweesh; Mohamed M Ahmed
Journal:  PLoS One       Date:  2020-07-02       Impact factor: 3.240

10.  Road Traffic Related Injury Severity in Truck Drivers: A Prospective Medical and Technical Analysis of 582 Truck Crashes.

Authors:  Sebastian Decker; Dietmar Otte; Christian Walter Muller; Mohamed Omar; Christian Krettek; Carl Haasper; Stephan Brand
Journal:  Arch Trauma Res       Date:  2016-05-27
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