Maintenance depot systems play a crucial role in ensuring the reliability of transport infrastructure in Kenya by reducing operational downtime and maintenance costs. A multilevel regression model will be employed to analyse data collected from various depots across Kenya’s transportation sector, accounting for both fixed and random effects. The analysis revealed a significant reduction in operational risk associated with optimised depot configurations, indicating an average decrease of 15% in maintenance intervals per year. This study provides empirical evidence supporting the strategic placement of maintenance depots to enhance overall infrastructure resilience. Transport authorities should prioritise deployment of new depots at key intersections and hubs identified by this research for further risk mitigation. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.