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Overview of road traffic injuries among migrant workers in Guangzhou, China, from 2017 to 2021
by
Yang, Tengfei
, Chen, Xinzhe
, Zhang, Fu
, Wang, Huijun
, Zhou, Nian
, Zeng, Haotian
, Miao, Qifeng
, Kong, Jiangwei
, Liao, Xinbiao
, Yang, Xingan
, Lan, Fengchong
, Li, Dongri
in
Accidents, Traffic - statistics & numerical data
/ Adult
/ Agglomeration
/ Automobile Driving - legislation & jurisprudence
/ Automobile Driving - statistics & numerical data
/ Bus drivers
/ China - epidemiology
/ cohort study
/ Driving ability
/ Driving Under the Influence - legislation & jurisprudence
/ Driving Under the Influence - statistics & numerical data
/ Drunk driving
/ Education
/ Female
/ Hospitals
/ Humans
/ Injuries
/ Investigations
/ Male
/ Manual workers
/ Middle Aged
/ Migrant workers
/ Mortality
/ motorcycle
/ Motorcycles
/ Motorcycles - statistics & numerical data
/ Original Research
/ Registration
/ Regression analysis
/ risk factor research
/ Risk Factors
/ Roads & highways
/ Rural areas
/ Safety regulations
/ Traffic accidents & safety
/ Traffic management
/ Traffic police
/ Transients and Migrants - statistics & numerical data
/ Vehicles
/ violence
/ Wounds and Injuries - epidemiology
/ Wounds and Injuries - prevention & control
2024
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Overview of road traffic injuries among migrant workers in Guangzhou, China, from 2017 to 2021
by
Yang, Tengfei
, Chen, Xinzhe
, Zhang, Fu
, Wang, Huijun
, Zhou, Nian
, Zeng, Haotian
, Miao, Qifeng
, Kong, Jiangwei
, Liao, Xinbiao
, Yang, Xingan
, Lan, Fengchong
, Li, Dongri
in
Accidents, Traffic - statistics & numerical data
/ Adult
/ Agglomeration
/ Automobile Driving - legislation & jurisprudence
/ Automobile Driving - statistics & numerical data
/ Bus drivers
/ China - epidemiology
/ cohort study
/ Driving ability
/ Driving Under the Influence - legislation & jurisprudence
/ Driving Under the Influence - statistics & numerical data
/ Drunk driving
/ Education
/ Female
/ Hospitals
/ Humans
/ Injuries
/ Investigations
/ Male
/ Manual workers
/ Middle Aged
/ Migrant workers
/ Mortality
/ motorcycle
/ Motorcycles
/ Motorcycles - statistics & numerical data
/ Original Research
/ Registration
/ Regression analysis
/ risk factor research
/ Risk Factors
/ Roads & highways
/ Rural areas
/ Safety regulations
/ Traffic accidents & safety
/ Traffic management
/ Traffic police
/ Transients and Migrants - statistics & numerical data
/ Vehicles
/ violence
/ Wounds and Injuries - epidemiology
/ Wounds and Injuries - prevention & control
2024
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Overview of road traffic injuries among migrant workers in Guangzhou, China, from 2017 to 2021
by
Yang, Tengfei
, Chen, Xinzhe
, Zhang, Fu
, Wang, Huijun
, Zhou, Nian
, Zeng, Haotian
, Miao, Qifeng
, Kong, Jiangwei
, Liao, Xinbiao
, Yang, Xingan
, Lan, Fengchong
, Li, Dongri
in
Accidents, Traffic - statistics & numerical data
/ Adult
/ Agglomeration
/ Automobile Driving - legislation & jurisprudence
/ Automobile Driving - statistics & numerical data
/ Bus drivers
/ China - epidemiology
/ cohort study
/ Driving ability
/ Driving Under the Influence - legislation & jurisprudence
/ Driving Under the Influence - statistics & numerical data
/ Drunk driving
/ Education
/ Female
/ Hospitals
/ Humans
/ Injuries
/ Investigations
/ Male
/ Manual workers
/ Middle Aged
/ Migrant workers
/ Mortality
/ motorcycle
/ Motorcycles
/ Motorcycles - statistics & numerical data
/ Original Research
/ Registration
/ Regression analysis
/ risk factor research
/ Risk Factors
/ Roads & highways
/ Rural areas
/ Safety regulations
/ Traffic accidents & safety
/ Traffic management
/ Traffic police
/ Transients and Migrants - statistics & numerical data
/ Vehicles
/ violence
/ Wounds and Injuries - epidemiology
/ Wounds and Injuries - prevention & control
2024
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Overview of road traffic injuries among migrant workers in Guangzhou, China, from 2017 to 2021
Journal Article
Overview of road traffic injuries among migrant workers in Guangzhou, China, from 2017 to 2021
2024
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Overview
IntroductionThere are many migrant workers in China’s first-tier cities, but little is known about road safety. This paper systematically analysed road traffic injuries and risk factors among migrant workers in Guangzhou, China.MethodsRoad traffic crash data from 2017 to 2021 were obtained from the Guangzhou Public Security Traffic Management Integrated System. We plotted the crash network of road users in road traffic crashes and used logistic regression to analyse the risk factors for migrant workers of motorcycle and four-wheeled vehicle crashes. Moreover, the roles of migrant workers and control individuals as perpetrators in road traffic crashes were also analysed.ResultsBetween 2017 and 2021, 76% of road traffic injuries were migrant workers in Guangzhou. Migrant workers who were motorcyclist drivers most commonly experienced road traffic injuries. Crashes between motorcyclists and car occupants were the most common. The illegal behaviours of migrant worker motorcyclists were closely related to casualties, with driving without a licence only and driving without a licence and drunk driving accounting for the greatest number. Migrant workers were responsible for many injuries of other road users. Motorcycle drivers have a higher proportion of drunk driving.DiscussionMigrant workers play an important role in road traffic safety. They were both the leading source of road traffic injuries and the main perpetrators of road traffic crashes. Measures such as strict requirements for migrant workers to drive motorcycles with licences, prohibit drunk driving, greater publicity of road safety regulations, and combining compulsory education with punishment for illegal behaviours.
Publisher
BMJ Publishing Group Ltd,BMJ Publishing Group LTD,BMJ Publishing Group
Subject
Accidents, Traffic - statistics & numerical data
/ Adult
/ Automobile Driving - legislation & jurisprudence
/ Automobile Driving - statistics & numerical data
/ Driving Under the Influence - legislation & jurisprudence
/ Driving Under the Influence - statistics & numerical data
/ Female
/ Humans
/ Injuries
/ Male
/ Motorcycles - statistics & numerical data
/ Transients and Migrants - statistics & numerical data
/ Vehicles
/ violence
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