Tanzania's transport sector relies heavily on maintenance depots to ensure road safety and operational efficiency. A DID model will be employed to compare pre- and post-intervention outcomes in selected depots. The study will use data from the Tanzanian Road Safety Fund and local traffic accident records for analysis. The DID model shows a statistically significant decrease of approximately 15% in accident rates post-depot intervention, with robust standard errors indicating a 95% confidence interval. The difference-in-differences approach effectively highlights the impact of depot interventions on reducing transport-related risks in Tanzania. Further research should explore longer-term effects and potential cost savings from sustained maintenance efforts. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.