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Characteristics of road traffic accident types and casualties in Guangzhou, China, from 2007 to 2020: A retrospective cohort study based on the general population.
Yang, Tengfei; Zeng, Haotian; Yang, Xingan; Kong, Jiangwei; Chen, Xinzhe; Zhou, Nian; Zhao, Ziwei; Miao, Qifeng; Zhao, Weidong; Zhang, Fu; Liao, Xinbiao; Yu, Yangeng; Lan, Fengchong; Wang, Huijun; Li, Dongri.
Afiliação
  • Yang T; Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
  • Zeng H; Guangzhou Public Security Bureau, Guangzhou, China.
  • Yang X; Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
  • Kong J; Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
  • Chen X; School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China.
  • Zhou N; Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
  • Zhao Z; School of Pharmaceutical Science, Southern Medical University, Guangzhou, China.
  • Miao Q; Guangdong Province Research Center of Traffic Accident Identification Engineering Technology, Guangzhou, China.
  • Zhao W; Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
  • Zhang F; Guangdong Public Security Department, Guangzhou, China.
  • Liao X; Guangdong Public Security Department, Guangzhou, China.
  • Yu Y; Guangdong Public Security Department, Guangzhou, China.
  • Lan F; School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China.
  • Wang H; Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
  • Li D; Department of Forensic Evidence Science, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
Heliyon ; 9(1): e12822, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36704281
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China