Citation

Li Y, Yamamoto T, Zhang G. J. Saf. Res. 2018; 64: 11-19.

Affiliation

Institute of Guangdong, Hong Kong and Macao Development Studies, Sun Yat-Sen University, Xingang Xi Road, Guangzhou, China; Center for Studies of Hong Kong, Macao and Pearl River Delta, Sun Yat-Sen University, Xingang Xi Road, Guangzhou, China.

Copyright

(Copyright © 2018, U.S. National Safety Council, Publisher Elsevier Publishing)

DOI

10.1016/j.jsr.2017.12.007

PMID

29636158

Abstract

INTRODUCTION: Fatigue driving is one of the most risky driving-related behaviors and represented a significant social and economic cost to the community. Several studies have already examined the relationship between fatigue driving behavior and traffic injury severity from different aspects. However, fatigue driving and injury severity in traffic crash may share some common influential factors. Ignoring the impact of these common factors will lead to endogeneity problem and result in biased parameter estimation.

METHOD: Based on 38,564 crash records during 2006-2011 in Guangdong province, China, we apply a bivariate endogenous binary-ordered probit model to examine the relationship between fatigue driving and injury severity considering endogeneity of fatigue driving. We also explore the difference of influential factors between commercial and non-commercial vehicle drivers.

RESULTS: This study identifies several common observed influential factors of fatigue driving propensity and fatal injury propensity and reveals a substantial and significant negative correlation of unobserved factors between them.

CONCLUSIONS: The influence of fatigue driving on injury severity is significantly underestimated if the endogeneity of fatigue driving on fatal injury propensity is ignored. Factors such as vehicle insurance and road types not only affect fatal injury propensity, but also fatigue driving propensity. PRACTICAL APPLICATIONS: The findings in this study can help better understand how those factors affect fatigue driving and injury severity, and contributes to more efficient policy for preventing the harmfulness of fatigue-related crashes.

Copyright © 2017 National Safety Council and Elsevier Ltd. All rights reserved.

Language: en

Keywords

Commercial vehicle driver; Endogeneity; Fatigue driving; Injury severity