Development of a Model for Evaluating the Efficiency of Public Transport Driver Behavior

Abstract

This study presents a comprehensive evaluation of factors affecting the efficiency of public transport driver behavior in Bangkok, Thailand. Employing a mixed-methods approach, we analyzed data from 767 public transport drivers using a structured questionnaire, supplemented by interviews with 12 management-level executives. The core of our research involved a path analysis using the Analysis of Moment Structures (AMOS) to identify key factors influencing driver efficiency. The findings from the path analysis revealed significant relationships, with a measurement model demonstrating a Chi-square of 26.748, df=17, p=.62, CMIN/DF=1.573, CFI = 0.993, AGFI=.977, GFI=.980, RMSEA=.0027, RMR=.012. Building on these insights, we developed a conceptual model focused on enhancing driver performance within public transport systems. The model integrates empirical evidence and theoretical underpinnings to offer practical strategies for improving public transportation service quality and operational efficiency. It is designed as a diagnostic tool for public transport authorities and policy-makers to assess, monitor, and optimize driver behavior. This research contributes to the literature by providing a detailed analysis of driver behavior dynamics and proposing a framework for practical implementation in the logistics and public transport sectors. The study underscores the importance of understanding and managing driver perceptions, working conditions, and internal rules to foster safer and more efficient transport systems.