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Journal Article

Citation

Penmetsa P, Pulugurtha SS. J. Transp. Saf. Secur. 2019; 11(1): 102-116.

Copyright

(Copyright © 2019, Southeastern Transportation Center, and Beijing Jiaotong University, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/19439962.2017.1356414

PMID

unavailable

Abstract

This study aims at identifying risk factors attributed to fatal fixed-object crashes on noninterstate roads. Logistic regression modeling was used to understand the relation or extent of the effect of selected independent variables on fatal fixed-object crashes on noninterstate roads. A total of 30 independent variables were considered in this study. At a 95% confidence interval, nine independent variables were found to play a statistically significant role on fatal fixed-object crashes on noninterstate roads. The probability of getting involved in a fatal fixed-object crash on noninterstate roads with full access control is lower compared to noninterstate roads with no access control. Rolling terrain reduces the probability of getting involved in a noninterstate fatal fixed-object crash. Older drivers are more likely to be killed in a noninterstate fatal fixed-object crash. Drivers under the influence of alcohol are four times more likely to be killed in a noninterstate fatal fixed-object crash compared to a sober driver. The findings from this study provide adequate evidence and assist traffic engineers and policy makers to better understand the role of risk factors and identify suitable countermeasures to reduce fatal fixed-object crashes specifically on noninterstate roads.


Language: en

Keywords

crash; fatal; fixed object; logistic regression; noninterstate road

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