年轻卡车司机风险驾驶行为研究:基于风险认知因素的改进计划行为理论

IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Journal of Advanced Transportation Pub Date : 2024-04-17 DOI:10.1155/2024/9966501
Zijun Liang, Xuejuan Zhan, Ran Deng, Xin Fu
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引用次数: 0

摘要

针对年轻卡车司机对潜在风险的感知较弱,因而更容易做出危险驾驶行为的问题,创新性地考虑了风险感知对行为的直接影响。研究建立了改进的计划行为理论(TPB)模型,并对年轻卡车司机的风险驾驶行为进行了研究。研究收集了中国 330 名年轻卡车司机的有效问卷数据,并通过结构方程模型对改进的 TPB 模型进行了验证和分析。结果表明,改进后的 TPB 模型能有效解释年轻卡车司机的风险驾驶行为。具体来说,行为态度、主观规范和感知行为控制对行为意向有显著的正向影响,而行为意向和感知行为控制对行为有显著的正向影响。此外,风险认知对行为意向和行为有显著的负面影响。此外,与传统的 TPB 模型相比,改进后的 TPB 模型在拟合度和解释力方面表现更好。拟合指数 CMIN/DF、RMSEA 和 AGFI 分别优化了 16%、18% 和 1.5%,对行为变异的解释力提高了 5%,验证了改进型 TPB 模型的合理性和有效性。这为今后制定针对年轻卡车司机风险驾驶行为的干预措施提供了决策支持。
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Research on Risky Driving Behavior of Young Truck Drivers: Improved Theory of Planned Behavior Based on Risk Perception Factor

In response to the issue of young truck drivers’ weaker perception of potential risks, which makes them more prone to engaging in risky driving behaviors, the direct influence of risk perception on behavior was innovatively considered. An improved theory of planned behavior (TPB) model was developed and a study on risky driving behavior among young truck drivers was conducted. Valid questionnaire data from 330 young truck drivers in China were collected, and the improved TPB model was validated and analyzed through structural equation modeling. The results indicate that the improved TPB model can effectively explain the risky driving behavior among young truck drivers. Specifically, attitudes toward behavior, subjective norms, and perceived behavioral control have significant positive effects on behavioral intention, while behavioral intention and perceived behavioral control have significant positive effects on behavior. In addition, risk perception has a significant negative effect on behavioral intention and behavior. Furthermore, a comparison with the traditional TPB model reveals that the improved TPB model performs better in terms of fit and explanatory power. Fit indices CMIN/DF, RMSEA, and AGFI were optimized by 16%, 18%, and 1.5%, respectively, and there was a 5% increase in explanatory power for behavior variance, validating the rationality and effectiveness of the improved TPB model. This provides decision support for the development of intervention measures for risky driving behavior among young truck drivers in the future.

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来源期刊
Journal of Advanced Transportation
Journal of Advanced Transportation 工程技术-工程:土木
CiteScore
5.00
自引率
8.70%
发文量
466
审稿时长
7.3 months
期刊介绍: The Journal of Advanced Transportation (JAT) is a fully peer reviewed international journal in transportation research areas related to public transit, road traffic, transport networks and air transport. It publishes theoretical and innovative papers on analysis, design, operations, optimization and planning of multi-modal transport networks, transit & traffic systems, transport technology and traffic safety. Urban rail and bus systems, Pedestrian studies, traffic flow theory and control, Intelligent Transport Systems (ITS) and automated and/or connected vehicles are some topics of interest. Highway engineering, railway engineering and logistics do not fall within the aims and scope of JAT.
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