Many accidents happen on roads due to the risky behaviour of drivers including speeding. The rate of fatalities and injuries is high in those accidents where speeding is the reason for the accident. This study aims to identify the significant predictors of drivers’ speeding behaviour considering the theoretical background of the Norm-Activation Model (NAM) theory. The social, cultural, and road environment-related factors were also considered in the design of the questionnaire. This survey was conducted in Lahore city and 556 usable samples were collected. A factor analysis was conducted to confirm the association of observed variables with their latent variables according to NAM theory. Exploratory Factor Analysis (EFA) resulted in factors of personal speeding traits, the effectiveness of traffic enforcements, speeding propensity, situational constraints, drivers’ compliance with speed limits, social and environmental influence. The results of Structural Equation Modelling (SEM) revealed that driver’s Awareness of the Consequences (AC), the Ascription of Responsibility (AR) of behavioural outcomes, and compliance with speed limits are good predictors of Personal Norms (PN) (R² = 0.62). The factors of personal speeding traits, situational constraints, personal norms, and social and environmental influence have significant correlations with drivers’ speeding propensity (R² = 0.36). The PN, effectiveness of traffic enforcements, compliance with speed limits, and speeding propensity factors are a direct predictor of drivers’ speeding behaviour (R² = 0.21). These results implicate that drivers’ ability to comply with speed limits and present traffic enforcements are effective in controlling speedy drivers. However, different situations, specific personality attributes, road driving environment, and culture have a positive influence on speeding propensity.

由于驾驶员的危险行为（包括超速驾驶），道路上会发生许多事故。在那些以超速驾驶为事故原因的事故中，死亡和受伤的比率很高。这项研究旨在根据规范激活模型（NAM）理论的理论背景来确定驾驶员超速驾驶行为的重要预测因子。问卷的设计中还考虑了与社会，文化和道路环境有关的因素。这项调查是在拉合尔市进行的，收集了556个可用样本。根据NAM理论，进行了因子分析，以确认观察变量与潜变量的关联。探索性因素分析（EFA）涉及个人超速特征，交通执法的有效性，超速倾向，情况限制，驾驶员遵守速度限制，社会和环境影响。结构方程模型（SEM）的结果表明，驾驶员的后果意识（AC），行为结果的责任归属（AR）以及对速度限制的遵守是个人规范（PN）的良好预测指标（R ²＝ 0.62）。个人超速特质，情况限制，个人规范以及社会和环境影响等因素与驾驶员超速倾向有显着相关性（R ² = 0.36）。PN，交通执法的有效性，遵守速度限制和超速倾向因素是驾驶员超速行为的直接指标（R ² = 0.21）。这些结果表明，驾驶员遵守速度限制的能力以及当前的交通执法措施对于控制快速驾驶员是有效的。但是，不同的情况，特定的人格属性，道路驾驶环境和文化对超速驾驶倾向具有积极影响。