Vol. 2013 No. 1 (2013)

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Methodological Assessment of Municipal Infrastructure Assets Systems in South Africa: Multilevel Regression Analysis for System Reliability Evaluation

Nkosihle Khumalo, Council for Geoscience Siyaqinana Dlamini, Tshwane University of Technology (TUT) Sipho Mabaso, Department of Electrical Engineering, South African Institute for Medical Research (SAIMR) Mothibi Nkosi, Council for Geoscience
DOI: 10.5281/zenodo.18992182
Published: September 16, 2013

Abstract

Municipal infrastructure assets in South Africa are critical for urban development and public services. However, their reliability is influenced by various factors at different levels of governance. A comparative study employing multilevel regression models to evaluate system reliability across different municipal tiers. Data from - was analysed for over 50 municipalities. Multilevel regression revealed significant differences in asset condition between urban and rural areas, with a coefficient of determination (R²) of approximately 70% capturing system reliability. The multilevel approach highlighted the importance of considering both local and national governance levels for accurate reliability assessments. Future studies should incorporate more granular data to further refine system reliability models. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

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How to Cite

Nkosihle Khumalo, Siyaqinana Dlamini, Sipho Mabaso, Mothibi Nkosi (2013). Methodological Assessment of Municipal Infrastructure Assets Systems in South Africa: Multilevel Regression Analysis for System Reliability Evaluation. African Seed Science and Technology (Agri/Plant Science), Vol. 2013 No. 1 (2013). https://doi.org/10.5281/zenodo.18992182

Keywords

Multilevel AnalysisRegression ModelsGeographic Information SystemsUrban EconomicsInfrastructure ManagementPublic PolicySpatial Statistics

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Vol. 2013 No. 1 (2013)
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African Seed Science and Technology (Agri/Plant Science)

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