Multilevel regression analysis reveals operational efficiency enhances cost-effectiveness in Ugandan urban transport depots, suggesting improved investment strategies.
Urban transport maintenance depots in Uganda are crucial for ensuring efficient public transit operations. However, their cost-effectiveness is not well understood. Multilevel regression analysis was employed to assess the impact of various variables on depot costs, with data collected from Ugandan cities between and . The multilevel model revealed that operational efficiency had a significant positive effect on cost reduction (p < 0.05). This study provides insights into the optimal configuration of transport maintenance depots in Ugandan cities, contributing to more sustainable urban mobility solutions. Transport authorities should prioritise depots with higher operational efficiency for future deployment and investment. Uganda, Urban Transport, Maintenance Depots, Cost-Effectiveness, Multilevel Regression The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.
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Okello et al. (2006) studied this question.
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