This evaluation reveals reliable time-series forecasting models for predicting municipal infrastructure costs in Senegal, suggesting improved asset management strategies.
The cost-effectiveness of municipal infrastructure assets in Senegal is a critical concern for public sector managers. A systematic approach was employed to develop and validate forecasting models using historical data from . The developed model predicted maintenance costs with an accuracy of ±5% over a five-year horizon. The time-series forecasting models are reliable tools for assessing municipal infrastructure cost-effectiveness in Senegal. The models should be used alongside other data sources to inform policy decisions on asset management and funding allocation. Senegal, Municipal Infrastructure, Cost-Effectiveness, Time-Series Forecasting, Asset Management The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.
No takes yet. Share an insight, caveat, or question.
Diallo et al. (2002) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: