Citation

Li C, Fang Q, Ding L, Zhong B. Accid. Anal. Prev. 2019; 133: e105290.

Affiliation

Department of Construction Management, School of Civil Engineering & Mechanics, Huazhong University of Science & Technology, Wuhan, Hubei, China.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.aap.2019.105290

PMID

31585230

Abstract

Highway operations are marred with inherent risks of injury or death, making risk management critical for ensuring the adequate safety of the people involved. This paper investigates the interaction between various highway safety risk factors and effective risk mitigation strategies related to such interaction. The Covariate-Balanced Determinant Detector (CBDD) technique is used to estimate the quantity of both individual and combined risks, and their effect on highway operations safety. Through this technique, the most dangerous risk combinations have been identified and corresponding risk mitigation scenarios have been developed. The results illustrate that the most dangerous scenarios probably result from the interactive effect of risk factors rather than individual factors, and the effect of mitigation strategies should be evaluated in response to a risk scenario before it is implemented.

Copyright © 2019. Published by Elsevier Ltd.

Language: en

Keywords

Covariate-balanced determinant detector; Highway safety; Interaction effect; Mitigation strategies; Risk management