Tanglai Wirampa, Chen Ching-Fu, Rattanapan Cheerawit, Laosee Orapin
ASEAN Institute for Health Development, Mahidol University, Nakhon Pathom, Thailand.
School of Nursing, Walailak University, Nakhon Si Thammarat, Thailand.
Saf Health Work. 2022 Jun;13(2):187-191. doi: 10.1016/j.shaw.2022.03.005. Epub 2022 Mar 18.
Traffic injuries have become a significant public health problem in low- and middle-income countries. Several studies have examined the role of personality and attitude toward traffic safety in predicting driving behaviors in diverse types of drivers. Few studies have investigated risky behavior among public passenger van drivers. This study aims to identify the predictors of self-reported risky driving behavior among public van drivers.
A total of 410 public van drivers were interviewed at terminal stations in Bangkok. Hierarchical regression models were applied to determine the effects of demographics, personality traits, and attitude on self-reported risky driving behaviors.
The results indicated that drivers with a high education level, more working days, and high scores for normlessness and anger were more likely to report risky driving behaviors (p < 0.05).
The personality traits and attitude toward speeding account for aberrant self-reported risky driving behavior in passenger van drivers. This could be another empirical basis for evidence-based road safety interventions in the context of public transport.
在低收入和中等收入国家,交通伤害已成为一个重大的公共卫生问题。多项研究探讨了个性和对交通安全的态度在预测不同类型驾驶员驾驶行为方面的作用。很少有研究调查公共客运面包车司机的危险行为。本研究旨在确定公共面包车司机自我报告的危险驾驶行为的预测因素。
在曼谷的终点站对410名公共面包车司机进行了访谈。应用分层回归模型来确定人口统计学、个性特征和态度对自我报告的危险驾驶行为的影响。
结果表明,受教育程度高、工作天数多、无规范感和愤怒得分高的司机更有可能报告危险驾驶行为(p < 0.05)。
个性特征和对超速的态度是导致客运面包车司机自我报告的异常危险驾驶行为的原因。这可能是公共交通背景下基于证据的道路安全干预措施的另一个实证依据。