African Control Systems Engineering

Advancing Scholarship Across the Continent

Vol. 2001 No. 1 (2001)

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Revisiting Municipal Infrastructure Asset Systems in South Africa: A Field Trial on Cost-Effectiveness Methodology

Sipho Mathebula, Department of Electrical Engineering, University of Venda Zola Ngwenya, University of KwaZulu-Natal Mpho Mokgadi, University of Venda
DOI: 10.5281/zenodo.18730979
Published: September 6, 2001

Abstract

This study addresses a current research gap in Engineering concerning Methodological evaluation of municipal infrastructure assets systems in South Africa: randomized field trial for measuring cost-effectiveness in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of municipal infrastructure assets systems in South Africa: randomized field trial for measuring cost-effectiveness, South Africa, Africa, Engineering, replication study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

How to Cite

Sipho Mathebula, Zola Ngwenya, Mpho Mokgadi (2001). Revisiting Municipal Infrastructure Asset Systems in South Africa: A Field Trial on Cost-Effectiveness Methodology. African Control Systems Engineering, Vol. 2001 No. 1 (2001). https://doi.org/10.5281/zenodo.18730979

Keywords

Sub-SaharanAfricanSocioeconomicModellingSimulationOptimizationData-Driven

References