期刊
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
卷 28, 期 2, 页码 842-855出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/10803548.2020.1835234
关键词
major road traffic accidents; systems-based approach; structural equation model; government regulation; human factors analysis and classification system
资金
- National Social Science Foundation of China [19BGL233]
- National Social Science Fund of China [71971008]
This study quantitatively examines the effects of government regulation on human and organizational factors in the context of road traffic accidents. The analysis of 405 major accidents in China over a 20-year period reveals that inadequate regulation is the most frequent contributing factor, and government regulation significantly influences organizational influences, unsafe supervision, and unsafe behaviors. These findings offer valuable insights for accident prevention and suggest new directions for government policy-making and regulatory activities.
The government plays an important role in road safety. However, the effectiveness of the government in the context of road traffic accidents (RTAs) is rarely measured quantitatively. This study aims to quantitatively examine the effects of government regulation on human and organizational factors. A contributing factors classification framework of RTAs is presented based on the human factors analysis and classification system, one of the most popular systems approaches. A total of 405 major RTAs was collected over a 20-year period (1997-2017) in China and analyzed through the structural equation model. The results lead to two main conclusions: the frequency of inadequate regulation, which has reached 343, is the highest frequency among all contributing factors; government regulation exhibits significant effects on organizational influences, unsafe supervision and unsafe behaviors. These findings provide a new perspective for accident prevention that can be initiated by the government in policy-making and regulatory activities.
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