Competency Development of Cross Border Transportation: A Case of Nong Khai Border

Objectives: This research focuses on enhancing cross-border trade between Thailand and Lao PDR, specifically emphasizing Nong Khai Province—a crucial border region for economic connectivity and trade along the Mekong River. Nong Khai’s strategic location, near the Lao capital Vientiane and its role as a central hub in the North-South Economic Corridor (NSEC) and Eastern Economic Corridor (EEC), contributes significantly to regional trade and investment cooperation. Theoretical framework: The study develops a prototype intelligent cross-border freight vehicle management system to address existing transportation challenges. The system utilizes RFID sensor technology integrated into a mobile application for real-time tracking and status notification of freight vehicles. Methods: Data was collected through surveys with a sample of 400 logistics operators involved in transportation and distribution. Results and Discussion: The study’s structural equation model, which evaluates factors influencing cross-border transportation efficiency at the Nong Khai checkpoint, demonstrated a strong fit with empirical data. The model fit indicators were statistically significant (Chi-Square = 20.024, df = 21, Sig. = 0.520, CMIN/df = 0.954, CFI = 1.00, NFI = 0.997, GFI = 0.992, AGFI = 0.967, IFI = 1.00, RMSEA = 0.00, RMR = 0.08), confirming that the model meets specified criteria. Research Implications: Findings suggest that the intelligent transport system prototype could substantially improve process control and operational efficiency, supporting the expansion of border trade in Nong Khai and contributing to economic growth in the region. Originality/Value: To enhance the safety and efficiency of logistics operations at a low cost.