Bayesian Hierarchical Model for Measuring Yield Improvement in Municipal Infrastructure Assets Systems in Uganda

Ugandan municipal infrastructure assets systems are critical for efficient service delivery but face challenges in monitoring performance. A Bayesian hierarchical model was employed to analyse data from municipal infrastructure assets, accounting for spatial and temporal variability. The model identified an average yield improvement of 15% in asset management practices across districts. Bayesian hierarchical modelling offers a robust framework for evaluating municipal infrastructure performance with improved accuracy over traditional methods. Policymakers should consider implementing this model to enhance decision-making and resource allocation for municipal assets. yield improvement, Bayesian hierarchical model, municipal infrastructure, Uganda The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.