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

被引:338
作者
Chen, Feng [1 ]
Chen, Suren [1 ]
机构
[1] Colorado State Univ, Dept Civil & Environm Engn, Ft Collins, CO 80523 USA
关键词
Trucks; Injury severity; Rural highway; Mixed logit model; MIXED LOGIT; VEHICLE; MODELS; CRASHES;
D O I
10.1016/j.aap.2011.03.026
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
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. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1677 / 1688
页数:12
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