Exploring the cognitive and behavioral factors impacting novice young drivers: Structural equation modeling of situational awareness, driving skills, reported crash history, and violations, using a driving simulator

IF 3.5 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-03-07 DOI:10.1016/j.trf.2025.02.028

Amin Faridiaghdam , Hamid Mirzahossein , Amir Abbas Rassafi , Ali Khanpour

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引用次数: 0

Abstract

The aim of this study is to analyze the relationships between situational awareness, driving skills, high-risk violations, and reported crash history among novice young drivers, and to determine the coefficients of these factors. Novice young drivers have the highest crash rates compared to older drivers, making road safety a critical issue. A total of 137 educated male and female drivers, aged 18 to 25 (87.6% participation rate), completed a demographic and crash history questionnaire and participated in a hazard perception scenario using the IKIU CI006 Full Advanced Driving Simulator. Structural Equation Modeling (SEM) was used to test the hypotheses and examine the relationships between the variables and dynamic vehicle data. The results show that a lack of driving skills (coefficient: 0.197) and poor situational awareness (coefficient: 0.804) significantly contribute to high-risk violations. Additionally, reduced situational awareness (coefficient: 0.692) directly impairs driving skills in challenging situations. Crash history is influenced by poor situational awareness (coefficient: 0.447) and negatively affects driving skills (coefficient: 0.335). These findings highlight the crucial role of situational awareness in preventing violations and improving driving skills. They suggest that training programs aimed at enhancing situational awareness could effectively reduce crash rates and promote safer driving behaviors among novice young drivers. The relationships identified through SEM provide a solid foundation for future research into targeted interventions that can mitigate risky behaviors and enhance overall road safety.

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研究影响年轻新手驾驶的认知和行为因素：基于驾驶模拟器的情景感知、驾驶技能、报告的碰撞历史和违规行为的结构方程模型

本研究的目的是分析年轻新手司机的态势感知、驾驶技能、高风险违规行为和报告事故历史之间的关系，并确定这些因素的系数。与年长的司机相比，年轻的新手司机的撞车率最高，这使得道路安全成为一个关键问题。共有137名受过教育的男女司机，年龄在18至25岁之间（参与率为87.6%），他们完成了人口统计和碰撞历史问卷调查，并使用IKIU CI006全高级驾驶模拟器参与了危险感知场景。采用结构方程模型（SEM）对假设进行检验，并检验各变量与车辆动态数据之间的关系。结果表明，缺乏驾驶技能（系数：0.197）和较差的态势感知（系数：0.804）是导致高危违规的重要因素。此外，情境感知能力的降低（系数：0.692）直接影响了驾驶员在挑战性情境下的驾驶技能。碰撞史受不良态势感知的影响（系数为0.447），对驾驶技能有负向影响（系数为0.335）。这些发现强调了态势感知在防止违规和提高驾驶技能方面的关键作用。他们认为，旨在提高态势感知的培训项目可以有效地降低碰撞率，并促进年轻新手的安全驾驶行为。通过扫描电镜确定的关系为未来研究有针对性的干预措施提供了坚实的基础，这些干预措施可以减轻危险行为并提高整体道路安全。

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来源期刊

Transportation Research Part F-Traffic Psychology and Behaviour Multiple-

CiteScore

7.60

自引率

14.60%

发文量

239

审稿时长

71 days

期刊介绍： Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.