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运用计划行为理论预测危险驾驶行为:一项元分析。

Predicting risky driving behaviours using the theory of planned behaviour: A meta-analysis.

机构信息

Department of Psychology, College of Health Care Sciences, James Cook University, Australia; Centre for Accident Research and Road Safety - Queensland (CARRS-Q), School of Psychology, Faculty of Health, Queensland University of Technology, Australia.

School of Psychology, Faculty of Health, Queensland University of Technology, Australia.

出版信息

Accid Anal Prev. 2024 Dec;208:107797. doi: 10.1016/j.aap.2024.107797. Epub 2024 Oct 3.

DOI:10.1016/j.aap.2024.107797
PMID:39366071
Abstract

The current meta-analysis explored the efficacy of the theory of planned behaviour (TPB) in predicting high-risk driving behaviours. Specifically, we examined speeding (in relation to exceeding the limit as well as speed compliance), driving under the influence, distracted driving, and seat belt use. We searched four electronic databases (i.e., PubMed, Web of Science, Scopus, and ProQuest) and included original studies that quantitatively measured the relationships between the TPB variables (attitude, subjective norm, perceived behavioural control [PBC], intention, and prospective/objective behaviour). The study identified 80 records with 94 independent samples. Studies were assessed for risk of bias using the JBI checklist for cross-sectional studies and compliance with the TPB guidelines. Together, attitude, subjective norm and PBC explained between 30 % and 51 % of variance found in intention, with attitude showing as the strongest predictor for intention across the different driving behaviours. The findings also showed that the model explained 36 %-48 % variance found in predicting the observed and/or prospective behaviours for distracted driving, speed compliance and speeding. Understanding the varying strengths and thus relative importance of TPB constructs in predicting different risky driving behaviours is crucial for developing targeted road safety interventions.

摘要

当前的荟萃分析探讨了计划行为理论(TPB)在预测高风险驾驶行为方面的功效。具体而言,我们研究了超速(包括超过限速和遵守限速)、酒驾、分心驾驶和系安全带行为。我们在四个电子数据库(PubMed、Web of Science、Scopus 和 ProQuest)中进行了检索,并纳入了定量测量 TPB 变量(态度、主观规范、感知行为控制 [PBC]、意图和预期/客观行为)之间关系的原始研究。研究确定了 80 份记录和 94 个独立样本。使用 JBI 横断面研究检查表评估研究的偏倚风险,并遵守 TPB 指南。态度、主观规范和 PBC 共同解释了意图中 30%-51%的变异,在不同的驾驶行为中,态度是意图的最强预测因素。研究结果还表明,该模型解释了 36%-48%的分心驾驶、速度遵守和超速预测观察到的和/或预期行为的变异。了解 TPB 结构在预测不同危险驾驶行为方面的不同优势,从而了解其相对重要性,对于制定有针对性的道路安全干预措施至关重要。

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