
{ "background": "The cost-effectiveness of transport maintenance depots is a critical yet under-researched factor in the operational efficiency of national infrastructure networks. In Kenya, a lack of robust, longitudinal analysis has hindered evidence-based investment and policy formulation for these essential engineering assets.", "purpose and objectives": "This study aims to methodologically evaluate the performance measurement frameworks used for transport maintenance depots and to develop a panel-data econometric model for estimating their cost-effectiveness. The objective is to identify key operational and managerial drivers of efficiency.", "methodology": "A novel two-stage analytical framework was employed. First, a methodological evaluation of existing performance indicators was conducted. Second, a balanced panel dataset from a national sample of depots was analysed using a fixed-effects model: $CE{it} = \\alphai + \\beta1 Labour{it} + \\beta2 Inventory{it} + \\beta3 Age{it} + \\epsilon{it}$, where $CE{it}$ is a composite cost-effectiveness score for depot $i$ in period $t$. Inference was based on cluster-robust standard errors.", "findings": "The methodological review found prevailing metrics to be skewed towards cost minimisation, neglecting output quality. The panel estimation revealed that inventory turnover ratio had a statistically significant positive association with cost-effectiveness (p<0.01), whereas mean fleet age showed a strong negative correlation. A one-year increase in average fleet age was associated with a 2.3 percentage point decrease in the cost-effectiveness score, holding other factors constant.", "conclusion": "The study concludes that current performance assessment methodologies are incomplete and that operational factors, particularly asset age and inventory management, are significant determinants of depot cost-effectiveness in the studied context.", "recommendations": "It is recommended that depot performance frameworks integrate quality-adjusted output measures. Furthermore, strategic renewal programmes for ageing vehicle fleets should be prioritised to enhance systemic cost-effectiveness.", "key words": "infrastructure management, maintenance engineering, panel data analysis,