Despite considerable efforts to address road traffic disasters, the challenge of excessive speeding by drivers in industrial areas remains a primary cause of accidents in Thailand. To combat this challenge effectively, it is crucial to understand the deep-rooted factors influencing speeding behavior, particularly the risky behaviors of drivers. This study employs the Theory of Planned Behavior (TPB) and the 3Es + Es framework as a reference to examine these factors, while also considering socio-demographic data. Structural Equation Modeling (SEM) was used to investigate the factors influencing speeding behavior, revealing key findings that Engineering factors significantly increase speeding. Conversely, Attitude, Subjective Norm, and Perceived Behavioral Control, which are essential components of TPB, significantly influence the intention to exhibit safe behavior, leading to reduced speeding. Additionally, the examination of latent factors using drivers' socio-demographic data found that significant influences include age, marital status, income, driving experience, accident history, and traffic tickets. Among these factors, single drivers exhibited a reduced attitude toward performing safe behaviors, while drivers with less than five years of experience showed a decreased intention to exhibit safe behaviors. In conclusion the findings from this study could be beneficial for road safety authorities by recommending policies and empirical guidelines appropriate to the context of industrial areas in Thailand, which are prone to high accident rates. This could lead to a reduction in speeding behavior among motorcycle riders and effectively mitigate road traffic disasters.