作者: Zhang GuangNan Zhang GuangNan , Li YanYan Li YanYan , MJ King , Zhong QiaoTing Zhong QiaoTing
DOI: 10.1136/INJURYPREV-2017-042599
关键词:
摘要: Objective Motor vehicle overloading is correlated with the possibility of road crash occurrence and severity. Although motor vehicles pervasive in developing nations, few empirical analyses have been performed on factors that might influence overloading. This study aims to address this shortcoming by seeking evidence from several years data Guangdong province, China. Methods Data other are extracted for crash-involved traffic records 2006–2010 provided Traffic Management Bureau province. Logistic regression applied identify risk within these crashes contributing greater Driver, vehicle, environmental characteristics violation types considered models. In addition basic logistic models, association analysis employed potential interactions among different during fitting models Results Crash-involved driven males rural households an unsafe condition more likely be overloaded involved higher severity crashes. If speed, severe casualties increases. Young drivers (aged under 25 years) mountainous areas Conclusions identifies associated provides important reference future research those specific factors.