Dataset Information

Driver behaviour and traffic accident involvement among professional heavy semi-trailer truck drivers in China.

ABSTRACT: The purpose of this study was to develop a driving behavior scale for professional drivers of heavy semi-trailer trucks in China, and study the causes of such driving behavior and its impact on traffic safety operation. Data was processed by IBM SPSS 25. In addition to principal component analysis, Promax rotation, Bartlett's test, Cronbach's alpha, correlation analysis and binary logistic regression were examined. A DBQ with 4 dimensions and 20 items, and a PDBQ with 1 dimension and 6 items were developed for professional drivers of heavy semi-trailer trucks in China. The KMO coefficients of PDBQ and DBQ were 0.822 and 0.852, respectively, and the significant level of Bartlett's popularity test was p < 0.0001. The accident prediction model showed that the variables related to traffic accidents were negligence/lapses and driving time of heavy semi-trailer truck drivers. 1-5 a.m. was found to be the most dangerous period for drivers of medium and heavy semi-trailer trucks, during which accidents were most likely to happen. As negligence/lapses increased by one unit, the probability of traffic accidents increased by 2.293 times.

SUBMITTER: Han W

PROVIDER: S-EPMC8638885 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Driver behaviour and traffic accident involvement among professional heavy semi-trailer truck drivers in China.

Han Wanli W Zhao Jianyou J Chang Ying Y

PloS one 20211202 12

The purpose of this study was to develop a driving behavior scale for professional drivers of heavy semi-trailer trucks in China, and study the causes of such driving behavior and its impact on traffic safety operation. Data was processed by IBM SPSS 25. In addition to principal component analysis, Promax rotation, Bartlett's test, Cronbach's alpha, correlation analysis and binary logistic regression were examined. A DBQ with 4 dimensions and 20 items, and a PDBQ with 1 dimension and 6 items wer ...[more]

PMID: 34855802

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Project description:ObjectivesLong-haul truck drivers experience multiple challenges, including increased health risks. A large percentage of professional truck drivers (PTDs) suffer from numerous chronic physical health conditions such as obesity, hypertension, diabetes, heart disease, sleep disorders, etc.) as well as poor mental health and social challenges. Furthermore, this population experiences numerous barriers related to accessing health care services including primary care and resources to improve their health. PTDs living in rural and remote areas are at higher risk. The objective of this study is to understand the views of PTDs and the trucking industry on health and personalized healthcare interventions and services.MethodsIn-depth semi-structured interviews were conducted with twenty-six individuals with contextual knowledge and experience in the trucking ecosystem, to better understand the needs, expectations, and preferences of PTDs based in New Brunswick (Canada), related to their health (physical, mental, and social). Analysis of the audiotape recording was conducted using thematic content analysis.ResultsThree major themes emerged from the qualitative analysis describing PTDs' health needs, existing health and preventive services, as well as recommendations for personalized healthcare interventions and services to be implemented: (1) "My life as a trucker!" Understanding needs and challenges, (2) "Taking care of myself, do you think it is easy while you're on the road?" Describing drivers and motivators for better health, and (3) "Can you hear what we need?" Translating needs into recommendations for tailored health services and preventative services.ConclusionA highly demanding work environment and lack of timely access to integrated primary care negatively affect PTDs' health. Results of this study shed light on how to tailor primary care to improve its responsiveness and adequacy to PTDs' needs and realities. PTDs-sensitive integrated services, including multicomponent interventions (health education, coaching for lifestyle changes, and social support), are still lacking within the New Brunswick health system.

Dataset Information

Driver behaviour and traffic accident involvement among professional heavy semi-trailer truck drivers in China.

Publications

Driver behaviour and traffic accident involvement among professional heavy semi-trailer truck drivers in China.

Similar Datasets

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