Survey Dataset on Theory of Planned Behaviour Constructs and Distracted-Driving Behaviours Among Drivers in Pakistan

This dataset contains cross-sectional questionnaire responses from 309 drivers recruited in Islamabad and Abbottabad, Pakistan, and was developed to examine psychological and behavioural factors associated with distracted driving. The questionnaire includes six constructs derived from the Theory of Planned Behaviour (TPB): attitude (ATT), friends’ norms (FN), family norms (FAMN), boss/supervisor norms (BN), perceived behavioural control (PBC), and behavioural intention (INT). Each construct was assessed across six distracted-driving behaviours: answering phone calls, messaging, using mobile applications, using navigation, talking with passengers, and drinking water while driving. The dataset also includes demographic and driving characteristics, self-reported distracted-driving behaviour, recent engagement in distracted-driving activities during the previous seven days, and crash involvement. Following data screening, 309 respondents were retained from 338 completed questionnaires; 263 respondents provided complete data across the 36 TPB indicators used in the latent-variable analyses, whereas construct-level composite analyses retained between 302 and 308 observations. The dataset can support research on questionnaire validation, confirmatory factor analysis, structural equation modelling, multitrait–multimethod modelling, local dependence, behaviour-specific covariance, normative influences, and relationships between psychological determinants and distracted-driving behaviour. An anonymised dataset, questionnaire/codebook, and variable definitions can facilitate replication, methodological comparison, and secondary analysis of distracted-driving behaviour.本数据集收录了在巴基斯坦伊斯兰堡与阿伯塔巴德招募的309名驾驶员的横断面问卷调研数据，其构建初衷为探究与分心驾驶相关的心理与行为影响因素。问卷涵盖基于计划行为理论（Theory of Planned Behaviour, TPB）衍生出的6个构念：态度（attitude, ATT）、同伴规范（friends’ norms, FN）、家庭规范（family norms, FAMN）、上司/主管规范（boss/supervisor norms, BN）、感知行为控制（perceived behavioural control, PBC）以及行为意向（behavioural intention, INT）。每个构念均针对6类分心驾驶行为进行评估，具体包括驾车时接听电话、发送短信、使用移动应用程序、使用导航系统、与乘客交谈以及饮水。本数据集同时包含人口统计学特征与驾驶属性数据、自我报告的分心驾驶行为、过去7天内近期参与分心驾驶活动的情况，以及碰撞事故涉入经历。经数据筛查流程后，从338份完成的问卷中最终保留309名受访者；其中263名受访者针对潜变量分析（latent-variable analyses）所用的36个TPB指标提供了完整数据，而构念层面的复合分析则保留了302至308条观测值。本数据集可支撑问卷效度验证、验证性因子分析（confirmatory factor analysis）、结构方程模型（structural equation modelling）、多特质-多方法建模（multitrait–multimethod modelling）、局部依赖性分析（local dependence）、行为特异性协方差（behaviour-specific covariance）、规范影响（normative influences）研究，以及心理决定因素与分心驾驶行为间的关联研究。配套的匿名化数据集、问卷/编码手册以及变量定义文件，可助力分心驾驶行为研究的复现、方法学对比与二次分析。