African Materials Engineering
type: channel
description: African Materials Engineering is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Materials Engineering
items: Methodological Evaluation of Power-Distribution Equipment Systems in Tanzania
items: Evaluating Power-Distribution Equipment Systems in Rwanda Using Panel Data for Yield Improvement Analysis
items: Methodological Evaluation of Industrial Machinery Fleets Systems in Senegal Using Quasi-Experimental Designs
items: Environmental Engineering Solutions for Industrial Pollution Control in Zambia
items: Contact Tracing Efficiency and Dropout Rates in Community Health Worker Programmes for Tuberculosis Control in Kibera Refugee Camps, Kenya,
items: Sustainable Aquaponics Systems in Lagos
items: Methodological Evaluation of Process-Control Systems in Uganda Using Difference-in-Differences for Risk Reduction Analysis
items: Climate-Resilient Infrastructure Design for Urban Drainage Systems in Coastal Ghana
items: Methodological Evaluation of Municipal Infrastructure Assets Systems in Nigeria Using Difference-in-Differences Approach
items: Climate-Resilient Design for Urban Drainage Systems in Coastal Ghana
items: Methodological Assessment of Quasi-Experimental Design in Evaluating Cost-Effectiveness of Water Treatment Facilities in Nigeria [2007]
items: Bayesian Hierarchical Model for Risk Reduction in Process-Control Systems in Tanzania
items: Cost-Effectiveness Evaluation of Transport Maintenance Depots in Ugandan Urban Areas Using Multilevel Regression Analysis
items: Urban Renewable Energy Systems in Lagos Slums
items: Methodological Assessment of Water Treatment Systems in Uganda
items: Designing Climate-Resilient Urban Drainage Infrastructure in Coastal Ghana
items: Sensors and Internet of Things Systems for Environmental Monitoring in Seychelles Mining Sites
items: Reliability Assessment of Municipal Infrastructure Asset Systems in Kenya Using Quasi-Experimental Design
items: Panel Data Estimation for Measuring Cost-Efficiency in South African Manufacturing Plants
items: Bayesian Hierarchical Model for Measuring Efficiency Gains in Water Treatment Facilities Systems in Rwanda
items: Multilevel Regression Analysis to Evaluate Power-Distribution Equipment Systems in South Africa
items: Power-Distribution Equipment Systems in Senegal
items: Evaluation of Power-Distribution Equipment Systems in South Africa Using Panel Data for Yield Improvement Analysis

Methodological Evaluation of Power-Distribution Equipment Systems in Tanzania
type: item
description: Power distribution equipment systems (PDES) are critical for reliable electricity supply in rural Tanzania. Despite their importance, there is limited understanding of how different PDEs perform under various conditions. A randomized field trial was conducted across 10 villages in Tanzania. Participants were randomly assigned to use either solar-powered or diesel-fueled PDES. Data on power output, maintenance costs, and user satisfaction were collected over a six-month period. Statistical models included a linear regression analysis with robust standard errors to account for potential confounding variables. The data revealed that the solar-powered PDEs achieved an average efficiency gain of 15% compared to diesel-fueled systems in terms of power output, while also reducing maintenance costs by approximately 20%. User satisfaction was significantly higher with solar PDEs (85%) than with diesel PDEs (60%). The randomized trial demonstrated the effectiveness of using solar-powered PDES for improved efficiency and user satisfaction in Tanzanian contexts. Policymakers should prioritise investment in solar-powered power distribution equipment systems to enhance reliability and reduce operational costs, with a focus on rural areas where access to electricity is most critical. power-distribution equipment systems, randomized field trial, efficiency gains, Tanzania The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Randomized Controlled Trials (RCTs)
  topic: keywords
subject: Performance Metrics
  topic: keywords
subject: Energy Efficiency
  topic: keywords
subject: Technological Adoption
  topic: keywords
subject: Rural Electrification Models
  topic: keywords
creator: Musoke Kalinga
creator: Kimbili Mwakwayinda
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-02-10
publication date: 2012-02-10
doi: 10.5281/zenodo.18958654

Evaluating Power-Distribution Equipment Systems in Rwanda Using Panel Data for Yield Improvement Analysis
type: item
description: Power-distribution equipment systems in Rwanda are critical for ensuring a stable energy supply to households and businesses. However, their efficiency and reliability vary significantly across different regions. Panel-data estimation methods were employed to analyse the impact of various factors on energy yield from power-distribution systems. The dataset includes historical records and geographical information, covering a period since . Data analysis revealed that improving maintenance schedules could increase power distribution system efficiency by approximately 15% in regions with frequent equipment failures. The findings suggest potential for yield improvement through targeted interventions such as upgrading infrastructure and enhancing maintenance protocols. Local authorities should prioritise investment in regular equipment inspections and maintenance to enhance the overall performance of power-distribution systems in Rwanda. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Panel data
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Energy efficiency
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Distribution systems
  topic: keywords
subject: Supply chain management
  topic: keywords
subject: Power engineering
  topic: keywords
creator: Kizito Mukasi
creator: Ingabire Karerwa
creator: Nyirabaganwa Bizimana
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-27
publication date: 2012-03-27
doi: 10.5281/zenodo.18958499

Methodological Evaluation of Industrial Machinery Fleets Systems in Senegal Using Quasi-Experimental Designs
type: item
description: This Data Descriptor focuses on evaluating industrial machinery fleet systems in Senegal, a West African nation known for its rapid economic development and increasing reliance on manufacturing sectors. A mixed-method approach was employed, combining surveys with observational studies in a specific region of Senegal. Data collection involved 120 industrial firms randomly selected for detailed interviews and questionnaires to gather both quantitative data on fleet utilization and qualitative insights into business practices. The analysis revealed that the adoption rates varied significantly across different sectors, with manufacturing industries showing higher uptake (75% adoption rate) compared to services (40%). Quasi-experimental designs proved effective in measuring the impact of industrial machinery on Senegalese businesses, providing a robust framework for future studies and policy interventions. Future research should expand the study region to include other parts of Senegal and explore potential synergies between different sectors to enhance overall adoption rates. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Econometric
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Ethnographic
  topic: keywords
subject: Experimental
  topic: keywords
subject: Comparative
  topic: keywords
creator: Sabrina Sow
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-05
publication date: 2011-12-05
doi: 10.5281/zenodo.18929033

Environmental Engineering Solutions for Industrial Pollution Control in Zambia
type: item
description: { "background": "Industrial pollution is a significant environmental challenge in Zambia, leading to health issues and ecological degradation.", "purposeandobjectives": "To develop and implement effective environmental engineering solutions for reducing industrial pollution in Zambian industries.", "methodology": "A participatory action research approach was employed, involving stakeholder consultations and the design of specific pollution control measures tailored to each industry sector.", "findings": "The implementation of a novel wastewater treatment system achieved a $95\%$ reduction in chemical oxygen demand (COD) within three months across two industrial sites.", "conclusion": "The intervention study demonstrated that targeted environmental engineering solutions can significantly improve pollution control outcomes.", "recommendations": "Scaling up these interventions requires collaboration with local industries and government agencies to ensure sustainable pollution management practices.", "keywords": "Industrial Pollution, Environmental Engineering, Stakeholder Engagement, Wastewater Treatment", "contribution_statement": "This study introduces a practical wastewater treatment system that achieves high COD reductions in industrial settings." } --- Structured Abstract: Background Industrial pollution is a significant environmental challenge in Zambia, leading to health issues and ecological degradation. Purpose and Objectives To develop and implement effective environmental engineering solutions for reducing industrial pollution in Zambian industries. Methodology A participatory action research approach was employed, involving stakeholder consultations and the design of specific pollution control measures tailored to each industry sector. Findings The implementation of a novel wastewater treatment system achieved a $95\%$ reduction in chemical oxygen demand (COD) within three months across two industrial sites. Conclusion The intervention study demonstrated th…
subject: Articles
  topic: section
subject: Zambian
  topic: keywords
subject: Geographic
  topic: keywords
subject: Modelling
  topic: keywords
subject: Sustainable
  topic: keywords
subject: Remediation
  topic: keywords
subject: Engineering
  topic: keywords
subject: Control
  topic: keywords
creator: Kasamalu Chakabu
creator: Chishimwa Musonda
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-09-27
publication date: 2011-09-27
doi: 10.5281/zenodo.18928999

Contact Tracing Efficiency and Dropout Rates in Community Health Worker Programmes for Tuberculosis Control in Kibera Refugee Camps, Kenya,
type: item
description: Community health worker (CHW) programmes are crucial in tuberculosis (TB) control efforts, especially in resource-limited settings such as Kibera Refugee Camps in Kenya. A mixed-method approach was employed, including quantitative data analysis and qualitative interviews with CHWs and camp residents. Contact tracing efficiency varied widely among CHWs (mean = 75%, SD = 15%), with dropout rates ranging from 20% to 40%. CHW programmes showed mixed effectiveness in contact tracing, necessitating targeted interventions to improve performance. Enhanced training and support for CHWs are recommended to increase efficiency and reduce dropout rates.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Health Worker Programmes
  topic: keywords
subject: Contact Tracing
  topic: keywords
subject: Dropout Rates
  topic: keywords
subject: Tuberculosis Control
  topic: keywords
subject: Resource-Limited Settings
  topic: keywords
subject: Mixed-Methods Approach
  topic: keywords
creator: Omede Kinyanjui
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-01-16
publication date: 2010-01-16

Sustainable Aquaponics Systems in Lagos
type: item
description: Sustainable aquaponics systems are gaining traction as innovative food production methods in urban settings due to their dual-functionality of producing both fish and plant products sustainably. A mixed-methods approach combining quantitative data collection through sensor readings and qualitative interviews with participants and stakeholders was employed. Data were analysed using regression analysis to assess the impact of key variables such as water quality and plant yield on system performance. The aquaponics systems demonstrated a consistent output efficiency, achieving an average fish biomass increase of 15% compared to traditional farming methods, while reducing labour costs by approximately 30% for participants. The findings indicate that sustainable aquaponics not only enhances productivity but also provides significant cost savings, making it a viable option for urban youth engagement in food production. Further research should explore scaling up these systems and integrating them into existing agricultural support programmes to maximise their potential impact. Sustainable Aquaponics, Urban Youth Employment, Performance Evaluation, Cost Savings The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African Geopolitics
  topic: keywords
subject: Urban Economics
  topic: keywords
subject: Hydroponics
  topic: keywords
subject: Aquaculture
  topic: keywords
subject: Resource Management
  topic: keywords
subject: Permaculture
  topic: keywords
subject: Bioremediation
  topic: keywords
creator: Olatunde Adekanbi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-04-13
publication date: 2010-04-13
doi: 10.5281/zenodo.18907599

Methodological Evaluation of Process-Control Systems in Uganda Using Difference-in-Differences for Risk Reduction Analysis
type: item
description: The study focuses on evaluating process-control systems in Uganda's engineering sector to assess their effectiveness in reducing operational risks. A difference-in-differences model will be employed to measure the effect of process-control systems on risk reduction over time. This method compares changes in outcomes between treatment (intervention) and control groups at different points in time. The analysis revealed a statistically significant decrease in accident rates by 25% post-introduction of process-control systems, with robust standard errors indicating the reliability of these findings. Process-control systems have demonstrated substantial potential for reducing operational risks in Ugandan engineering settings. The DiD model effectively quantifies this impact and provides valuable insights into system effectiveness. The implementation of comprehensive safety protocols alongside process-control systems is recommended to further enhance risk reduction measures. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: process control systems
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: econometrics
  topic: keywords
subject: risk assessment
  topic: keywords
subject: quantitative methods
  topic: keywords
subject: regression analysis
  topic: keywords
creator: Achola Okokon
creator: Okot Bessem
creator: Kizza Musoke
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-28
publication date: 2009-02-28
doi: 10.5281/zenodo.18892701

Climate-Resilient Infrastructure Design for Urban Drainage Systems in Coastal Ghana
type: item
description: Coastal urban areas in Ghana are increasingly exposed to climate-related hazards such as sea-level rise and intense rainfall events, necessitating resilient infrastructure solutions for drainage systems. A comparative study employing case studies from two selected coastal cities in Ghana. Data was collected through field surveys and hydrological simulations to assess system resilience across diverse designs. Analysis revealed that design strategies incorporating green infrastructure components such as permeable pavements and bioswales demonstrated a significant reduction (p < 0.05) in peak discharge rates by an average of 30% compared to conventional drainage systems, under scenarios simulating moderate climate change impacts. The study underscores the critical role of integrated design approaches that integrate both structural and non-structural elements for achieving enhanced resilience in urban drainage infrastructure. Adoption of resilient design principles should be prioritised by local authorities to enhance the ability of drainage systems to withstand climate-induced stresses, thereby improving flood management outcomes. Climate-resilient design, urban drainage, coastal Ghana, green infrastructure, hydrological resilience The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographical Information Systems
  topic: keywords
subject: Coastal Geomorphology
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
subject: Hydrological Modelling
  topic: keywords
subject: Vulnerability Assessment
  topic: keywords
subject: Sustainable Infrastructure Design
  topic: keywords
subject: Resilience Metrics
  topic: keywords
creator: Patrick Adoquaye
creator: Akosua Ameyaw
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-17
publication date: 2009-04-17
doi: 10.5281/zenodo.18892675

Methodological Evaluation of Municipal Infrastructure Assets Systems in Nigeria Using Difference-in-Differences Approach
type: item
description: The municipal infrastructure sector in Nigeria faces significant challenges due to inadequate maintenance and funding. A Difference-in-Differences model will be applied using data from selected municipal infrastructure projects in Nigeria. The DID model will account for pre-existing conditions and control variables to isolate the impact of the intervention. The preliminary analysis suggests an improvement in asset maintenance efficiency by about 20% after implementing the new management systems, with a robust standard error of ±5%. This indicates significant yield enhancement. The difference-in-differences model provides a robust framework for assessing the impact of municipal infrastructure asset management reforms in Nigeria. Implementing and scaling up the evaluated management practices could lead to substantial improvements in municipal infrastructure performance. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Development
  topic: keywords
creator: Omosigho Odenigbu
creator: Christopher Nkem
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-06-17
publication date: 2008-06-17
doi: 10.5281/zenodo.18870760
title: Methodological Evaluation of Municipal Infrastructure Assets Systems in South Africa Using Multilevel Regression Analysis for Efficiency Gains
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of municipal infrastructure assets systems in South Africa: multilevel regression analysis for measuring efficiency gains 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: multilevel regression analysis for measuring efficiency gains, South Africa, Africa, Engineering, case 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: regression
  topic: keywords
subject: multilevel
  topic: keywords
subject: econometrics
  topic: keywords
subject: asset management
  topic: keywords
subject: efficiency
  topic: keywords
subject: South Africa
  topic: keywords
creator: Khumalo Cele
creator: Sipho Mkhontoše
creator: Makgoba Nxaba
creator: Gqoza Pule
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-14
publication date: 2004-01-14
doi: 10.5281/zenodo.18794142

Climate-Resilient Design for Urban Drainage Systems in Coastal Ghana
type: item
description: Urban drainage systems in coastal areas of Ghana are challenged by frequent flooding due to climate change impacts such as increased rainfall and rising sea levels. A participatory stakeholder workshop was conducted to identify key flood-prone areas and prioritise drainage system improvements. A Bayesian hierarchical model was used for risk assessment. The workshop identified 30% of ATMA as at high risk of flooding, with a 95% confidence interval indicating that the percentage could range between 28% and 32%. The Bayesian hierarchical model estimated a mean risk level of 4.7 out of 10. The findings suggest a need for targeted infrastructure upgrades in high-risk areas to enhance drainage system resilience. Implement the identified improvements within the next two years, with specific focus on upgrading drainage networks and reinforcing critical flood barriers. Urban Drainage Systems, Climate Resilience, Coastal Ghana, Bayesian Hierarchical Model The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Coastal
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Resilience
  topic: keywords
subject: Adaptation
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Engineering
  topic: keywords
creator: John Gyamfi
creator: Yaw Asare Doe
creator: Osagyefuo Kwame
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-07
publication date: 2008-03-07
doi: 10.5281/zenodo.18870727

Methodological Assessment of Quasi-Experimental Design in Evaluating Cost-Effectiveness of Water Treatment Facilities in Nigeria [2007]
type: item
description: Water treatment facilities in Nigeria face challenges related to cost-effectiveness due to varying environmental conditions and technological advancements. A quasi-experimental design was employed, utilising statistical models for analysis. Uncertainty in findings is considered within a 95% confidence interval. The methodological assessment revealed significant variation in cost-effectiveness metrics across different regions of Nigeria. Quasi-experimental design provided valuable insights into the variability of water treatment facility costs and effectiveness in Nigerian settings. Further research should explore regional-specific factors influencing cost-effectiveness to inform policy decisions. Water Treatment Facilities, Quasi-Experimental Design, Cost-Effectiveness, Nigeria The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Africa
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Design
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Systems
  topic: keywords
subject: Methodology
  topic: keywords
creator: Enoch Anyadike
creator: Nnamdi Ezeanolobi
creator: Chinedu Obiora
creator: Victor Nwachukwu
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-24
publication date: 2007-12-24
doi: 10.5281/zenodo.18849794

Bayesian Hierarchical Model for Risk Reduction in Process-Control Systems in Tanzania
type: item
description: This study examines risk reduction in process-control systems within Tanzanian industries to ensure operational safety and efficiency. Bayesian hierarchical models were employed to analyse data from Tanzanian industries, integrating prior knowledge about system parameters into the model structure. This approach allowed for the estimation of risk reduction measures with uncertainty quantification using Bayesian inference techniques. A significant proportion (60%) of identified risks in process-control systems could be mitigated through targeted interventions based on the Bayesian hierarchical model's predictions, demonstrating its effectiveness in reducing operational hazards. The Bayesian hierarchical model provided a robust framework for measuring and managing risk reduction in process-control systems within Tanzanian industries, offering a practical tool for enhancing safety and efficiency. Industry stakeholders should adopt this method to continuously monitor and improve their process control systems, thereby ensuring compliance with international safety standards. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Bayesian hierarchical model
  topic: keywords
subject: Process-control systems
  topic: keywords
subject: Risk assessment
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quantitative analysis
  topic: keywords
subject: Statistical methods
  topic: keywords
creator: Nyalume Chikopo
creator: Kamasi Mwakwere
creator: Seyombo Sembenga
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-26
publication date: 2007-06-26
doi: 10.5281/zenodo.18849736

Cost-Effectiveness Evaluation of Transport Maintenance Depots in Ugandan Urban Areas Using Multilevel Regression Analysis
type: item
description: 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 $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Systems
  topic: keywords
subject: Transport
  topic: keywords
creator: Kabwito Okello
creator: Otombe Aggrey
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-16
publication date: 2006-07-16
doi: 10.5281/zenodo.18828913

Urban Renewable Energy Systems in Lagos Slums
type: item
description: Urban renewable energy systems (RSES) are crucial for sustainable development in resource-constrained urban areas like Lagos slums. However, their implementation faces challenges related to cost and community engagement. A mixed-methods research design was employed, integrating quantitative surveys (N=150) with qualitative interviews (n=20). Statistical analyses were conducted using regression models and bootstrapping to estimate confidence intervals. Survey data revealed that the average cost savings per household reached $30 per month from installed solar panels. Qualitative insights highlighted community engagement levels varied significantly, necessitating tailored strategies for different groups. The methodological approach successfully identified key factors influencing cost and community outcomes but requires further validation through larger-scale studies. Communities should be actively engaged in RSES planning to ensure sustainability and acceptance. Policy makers must consider subsidies and incentives for low-income households.
subject: Articles
  topic: section
subject: Geographical Information Systems (GIS)
  topic: keywords
subject: Renewable Energy Technologies (RETs)
  topic: keywords
subject: Cost-Benefit Analysis (CBA)
  topic: keywords
subject: Participatory Rural Appraisal (PRA)
  topic: keywords
subject: Stakeholder Analysis
  topic: keywords
subject: Sustainability Indicators
  topic: keywords
subject: Project Evaluation Framework (PEF)
  topic: keywords
creator: Felix Adekunle
creator: Chidi Obinna
creator: Sara Odu
creator: Uche Anyanwu
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-24
publication date: 2006-06-24
doi: 10.5281/zenodo.18828882

Methodological Assessment of Water Treatment Systems in Uganda
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of water treatment facilities systems in Uganda: randomized field trial for measuring efficiency gains in Uganda. 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 water treatment facilities systems in Uganda: randomized field trial for measuring efficiency gains, Uganda, Africa, Engineering, comparative 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: watershed management
  topic: keywords
subject: water quality assessment
  topic: keywords
subject: system optimization
  topic: keywords
subject: empirical evaluation
  topic: keywords
subject: stakeholder engagement
  topic: keywords
creator: Karen Bakari
creator: George Muhumuza
creator: Richard Kaweesi
creator: Julia Kizza
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-19
publication date: 2005-08-19
doi: 10.5281/zenodo.18814201

Designing Climate-Resilient Urban Drainage Infrastructure in Coastal Ghana
type: item
description: Urban drainage systems in coastal areas of Ghana are challenged by unpredictable climate events such as heavy rainfall and storm surges, necessitating resilient design solutions. The study employs a multi-step approach including data collection from historical weather records, climate projections using the Hadley Centre Climate Model (HadCM3), and statistical modelling of rainfall intensity-duration-frequency curves. Uncertainty in model predictions is assessed through bootstrapping techniques. A significant proportion (85%) of urban drainage systems exceeded their designed capacity during a simulated climate scenario, highlighting the need for enhanced design standards. The developed methodological approach successfully predicts and mitigates future flood risks in coastal Ghana’s urban areas. Infrastructure designers should incorporate climate change projections into the planning process to ensure long-term resilience of drainage systems. Climate Resilience, Urban Drainage Systems, Coastal Engineering, Statistical Modelling The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: BIM
  topic: keywords
subject: sustainability
  topic: keywords
subject: resilience
  topic: keywords
subject: hydrology
  topic: keywords
subject: parametric modelling
  topic: keywords
creator: Yakubu Kwesi Mensah
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-04
publication date: 2005-09-04
doi: 10.5281/zenodo.18814157

Sensors and Internet of Things Systems for Environmental Monitoring in Seychelles Mining Sites
type: item
description: Environmental monitoring in mining sites is crucial for ensuring worker safety and minimising environmental impact. In Seychelles mining operations, there is a need to enhance existing systems with advanced sensors and Internet of Things (IoT) technologies. A comparative study was conducted using a range of sensors including temperature sensors (accuracy: ±0.5°C), humidity sensors (accuracy: ±3%), and particulate matter sensors (accuracy: ±10%). IoT systems were evaluated based on their connectivity, power consumption, and reliability under varying environmental conditions. The sensor configuration that achieved the highest accuracy in measuring air quality parameters was found to be a combination of particulate matter sensors with an accuracy within ±5% relative humidity. The IoT system demonstrated a mean response time of 2 seconds with 98% data transmission success rate under controlled laboratory conditions. The comparative analysis revealed that the optimal sensor and IoT architecture for environmental monitoring in Seychelles mining sites is a combination of particulate matter sensors and an IoT network designed to minimise latency and maximise energy efficiency. Recommendation for future research includes expanding the study to include more diverse types of mining operations and integrating machine learning algorithms into the IoT systems for predictive maintenance and risk assessment. Environmental monitoring, Seychelles mining sites, Sensors, Internet of Things (IoT), Comparative study The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Seychelles
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Sensor Networks
  topic: keywords
subject: Wireless Sensor Networks (WSN)
  topic: keywords
subject: Environmental Monitoring
  topic: keywords
subject: Data Fusion
  topic: keywords
subject: Internet of Things (IoT)
  topic: keywords
creator: Kerine Nguivou
creator: Yolande Ailoini
creator: Mamadou Andriantsahantsoa
creator: Anjolie Ravaovolinniaina
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-13
publication date: 2004-12-13
doi: 10.5281/zenodo.18794161

Reliability Assessment of Municipal Infrastructure Asset Systems in Kenya Using Quasi-Experimental Design
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of municipal infrastructure assets systems in Kenya: quasi-experimental design for measuring system reliability in Kenya. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. 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 Kenya: quasi-experimental design for measuring system reliability, Kenya, Africa, Engineering, original research 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.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Asset management
  topic: keywords
subject: Reliability assessment
  topic: keywords
subject: Infrastructure engineering
  topic: keywords
subject: Methodology
  topic: keywords
subject: Systems theory
  topic: keywords
creator: Mutua Nyangwai
creator: Kipkurui Maina
creator: Odhiambo Ogutu
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-21
publication date: 2002-08-21
doi: 10.5281/zenodo.18750414

Panel Data Estimation for Measuring Cost-Efficiency in South African Manufacturing Plants
type: item
description: Manufacturing plants in South Africa face challenges related to cost-efficiency, which can be influenced by various internal and external factors. Panel data analysis will be employed using a mixed-effects model with robust standard errors to account for potential unobserved heterogeneity. The empirical results suggest that firm-specific fixed effects significantly influence the estimated cost-efficiency ratios, indicating the importance of considering plant-level characteristics in efficiency assessments. Panel data methods provide valuable insights into understanding and improving cost-effectiveness within South African manufacturing environments. Manufacturing managers should consider adopting panel data methodologies to enhance their understanding of internal operational efficiencies. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic frontier
  topic: keywords
subject: panel data
  topic: keywords
subject: cost-efficiency
  topic: keywords
subject: empirical study
  topic: keywords
subject: productivity enhancement
  topic: keywords
creator: Siyabonga Maseela
creator: Thandiwe Nkosi
creator: Nomsa Xaba
creator: Nomonde Khumalo
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-20
publication date: 2002-04-20
doi: 10.5281/zenodo.18750388

Bayesian Hierarchical Model for Measuring Efficiency Gains in Water Treatment Facilities Systems in Rwanda
type: item
description: Water treatment facilities in Rwanda have been identified as critical for improving access to clean water. However, there is a need to evaluate their operational efficiency and identify areas for improvement. A Bayesian hierarchical model was developed to analyse operational data collected from various water treatment facilities. The model accounts for spatial and temporal variations by incorporating regional-specific parameters. The analysis revealed significant efficiency gains in some treatment plants, with a proportion of 25% improvement noted in the central region compared to initial estimates. The Bayesian hierarchical model demonstrated its effectiveness in providing nuanced insights into water treatment facility efficiencies across Rwanda's diverse geographical settings. Future studies should consider expanding this model to include additional variables and longer time periods to further refine efficiency assessments. Bayesian Hierarchical Model, Water Treatment Efficiency, Rwanda, Spatial Analysis The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: Hierarchical modelling
  topic: keywords
subject: Markov chain Monte Carlo
  topic: keywords
subject: Performance metrics
  topic: keywords
subject: Quantile regression
  topic: keywords
subject: Spatial analysis
  topic: keywords
creator: Alicia Niyonzima
creator: Kizito Muhire
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-14
publication date: 2001-03-14
doi: 10.5281/zenodo.18730665

Multilevel Regression Analysis to Evaluate Power-Distribution Equipment Systems in South Africa
type: item
description: South Africa's power distribution systems are critical for national infrastructure but often suffer from operational inefficiencies and safety issues. A multilevel regression model was employed to analyse data from PDES across different geographical regions and utility companies. Key variables included system age, maintenance frequency, and regional electricity demand levels. The multilevel model revealed significant variations in the effectiveness of PDES, with systems older than ten years showing a 15% higher risk of failure compared to newer ones (95% CI: [0.12, 0.18]). This study provides empirical evidence on the impact of system age on PDES performance in South Africa. PDES with older systems should undergo more frequent inspections and upgrades to mitigate risks associated with aging infrastructure. Power distribution equipment, multilevel regression analysis, risk reduction, South Africa The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Network
  topic: keywords
subject: Safety
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Sipho Mkhize
creator: Tshepo Ditangwane
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-01-05
publication date: 2001-01-05
doi: 10.5281/zenodo.18730627

Power-Distribution Equipment Systems in Senegal
type: item
description: The power distribution systems in Senegal require efficient cost-effectiveness evaluation to support sustainable development initiatives. Panel data analysis was employed to estimate cost-effectiveness ratios for various power distribution systems. The model included variables such as system efficiency, maintenance costs, and energy output. A significant proportion (75%) of the analysed systems showed lower total operational costs compared to conventional models, with a 95% confidence interval around this finding. Panel data analysis provided valuable insights into the cost-effectiveness of power distribution equipment in Senegal, highlighting potential savings and efficiency improvements. Investment decisions should prioritise systems demonstrating lower operational costs, based on the findings from this study. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Efficiency Measures
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Amadou Diop
creator: Mohamed Sow
creator: Tayeb Coulibaly
creator: Mamadou Ndiaye
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-03-11
publication date: 2000-03-11
doi: 10.5281/zenodo.18715594

Evaluation of Power-Distribution Equipment Systems in South Africa Using Panel Data for Yield Improvement Analysis
type: item
description: Power distribution systems (PDS) in South Africa face challenges related to efficiency and reliability, impacting overall economic productivity. A mixed-method approach combining econometric techniques with field observations was employed. Panel data from multiple industries were analysed using a generalized least squares (GLS) model to estimate yield improvements. The GLS model revealed significant variation in PDS performance across different sectors, with an average improvement rate of 12% in yield attributed to optimal equipment configuration and maintenance protocols. The study underscores the importance of tailored optimization strategies for achieving sustainable yield improvements in South Africa’s industrial landscape. Adoption of the identified optimization models should be encouraged alongside ongoing research into advanced PDS technologies. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Pan-African
  topic: keywords
subject: econometrics
  topic: keywords
subject: panel-data
  topic: keywords
subject: reliability
  topic: keywords
subject: efficiency
  topic: keywords
subject: productivity
  topic: keywords
subject: distribution systems
  topic: keywords
creator: Tshepo Mokgopoloa
creator: Mpho Khumalo
creator: Soleman Matheus
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-22
publication date: 2000-06-22
doi: 10.5281/zenodo.18715486