Transport maintenance depots are essential infrastructure components for ensuring efficient urban transport systems in Senegal. Inadequate system reliability can lead to disruptions and inefficiencies. The research employs a mixed-method approach combining quantitative data from operational records with qualitative insights from depot managers. Panel data regression models are used to estimate system reliability, incorporating robust standard errors to account for heteroscedasticity and autocorrelation. The panel data analysis reveals that the proportion of maintenance operations completed within scheduled times has increased by 15% over two years, demonstrating improved depot efficiency. This study provides a methodological framework for evaluating transport maintenance depots in Senegal using panel data techniques, contributing to more reliable urban transportation systems. Future research should extend this methodology to other regions and consider additional factors affecting depot performance such as climate conditions and workforce availability. Panel Data, System Reliability, Transport Maintenance Depots, Urban Infrastructure, Senegal The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Sall et al. (Thu,) studied this question.