Characteristics of road traffic accident types and casualties in Guangzhou, China, from 2007 to 2020: A retrospective cohort study based on the general population
Tengfei Yang,
Haotian Zeng,
Xingan Yang,
Jiangwei Kong,
Xinzhe Chen,
Nian Zhou,
Ziwei Zhao,
Qifeng Miao,
Weidong Zhao,
Fu Zhang,
Xinbiao Liao,
Yangeng Yu,
Fengchong Lan,
Huijun Wang,
Dongri Li
Affiliations
Tengfei Yang
Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China
Haotian Zeng
Guangzhou Public Security Bureau, Guangzhou, China
Xingan Yang
Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China
Jiangwei Kong
Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China
Xinzhe Chen
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China
Nian Zhou
Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China
Ziwei Zhao
School of Pharmaceutical Science, Southern Medical University, Guangzhou, China
Qifeng Miao
Guangdong Province Research Center of Traffic Accident Identification Engineering Technology, Guangzhou, China
Weidong Zhao
Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China
Fu Zhang
Guangdong Public Security Department, Guangzhou, China
Xinbiao Liao
Guangdong Public Security Department, Guangzhou, China
Yangeng Yu
Guangdong Public Security Department, Guangzhou, China
Fengchong Lan
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China
Huijun Wang
Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China
Dongri Li
Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China; Corresponding author.
Introduction: This study aimed to explore the trend and main influencing factors of road traffic accidents in Guangzhou, China, from 2007 to 2020 and to provide a reference and guidance for government decision-making. Methods: A retrospective cohort study was used to describe road traffic accidents in Guangzhou. According to the population types, all people with road traffic accidents were divided into migrant workers and the control population. We divided road users, administrative districts, motorcycle types and injury levels into subgroups to investigate the characteristics of road traffic accidents in Guangzhou. The road traffic accident data were derived from the Guangzhou Public Security Traffic Management Integrated System. Results: The incidence rate of road traffic accidents per 10,000 vehicles in Guangzhou decreased from 36.55 in 2007 to 10.07 in 2012, remained relatively stable at 9.47 in 2017, and finally rose to 11.12 in 2020. The injury rate showed the same trend as the incidence rate, while the mortality rate gradually decreased from 14.21 in 2007 to 5.19 in 2020. Vulnerable road users such as motorized two-to-three-wheeler drivers and migrant workers were casualties in more than 80% of the cases. The proportion of casualties involving mopeds and electric bicycles increased rapidly after 2018. Motor vehicle drivers frequently caused road traffic accidents and were most often uninjured. Conclusion: Road safety in Guangzhou has shown a clear trend of improvement, but casualties are uneven across administrative districts. More attention should be given to motorized two-to-three-wheelers, migrant workers, and road traffic violations by uninjured individuals.
