A Comprehensive Assessment of University Transport Services at Pabna University of Science and Technology (PUST)

Efficient and accessible transportation services are crucial for facilitating smooth travel for students on university campuses. This study offers a thorough evaluation of the transportation services at Pabna University of Science and Technology (PUST), seeking to identify the primary factors affecting student satisfaction and preferences for travel modes. The study utilizes data gathered from 370 students using structured questionnaires, employing Structural Equation Modelling (SEM) and Confirmatory Factor Analysis (CFA) to assess the correlations between service quality features and student satisfaction. Significant data indicate that 54.9% of students prioritize cost-effectiveness as the foremost reason for utilizing the service, whereas 36.5% identify overcrowding and 31.6% emphasize inadequate seating space as substantial obstacles to usage. The Geographic Information System (GIS) study delineated service coverage, pinpointing accessibility deficiencies, especially in locales such as Bottola and Arifpur, where pupils encounter extended walking distances to bus stops. Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) were utilized to examine latent variables, revealing substantial correlations between service quality attributes (e.g., safety, driver conduct) and student satisfaction. The model fit indices (RMSEA = 0.072, CFI = 0.904) affirmed strong statistical validity. Although there was reasonable satisfaction with travel speed (Mean = 3.48) and safety (Mean = 3.49), significant shortcomings were observed in seat availability (Mean = 2.20) and fleet size (Mean = 2.08). Only 39.2% of students employed GPS tracking, signifying restricted use of technology solutions. Student feedback highlighted the necessity for augmented bus frequency (44.3%) and expanded routes (18.6%) to improve service effectiveness. The study emphasizes the importance of data-driven planning and the improvement of transport services to achieve enhanced inclusivity, reliability, and user satisfaction. Its findings provide actionable insights for university authorities to optimize resource allocation and enhance the efficiency and accessibility of campus transport systems.