This study assessed the causes of cost overruns in public building projects in Uganda. A mixed design combined a relative importance ranking of ten perceived causes, based on 120 simulated practitioner responses, with a quantitative analysis of 140 simulated completed projects. Descriptive statistics, Pearson correlations, multiple linear regression and binary logistic regression were applied, with full diagnostic testing. Delayed payment of certificates, incomplete design at tender and variation orders were ranked as the three most important causes. The mean cost overrun in the simulated sample was 26.0 percent of the contract sum. The linear model explained 65.1 percent of the variance in overruns, with schedule delay, variation orders, incomplete design, delayed payment and delayed site possession increasing overruns and contractor experience reducing them. In the logistic model, incomplete design raised the odds of a substantial overrun 3.31 times. The study concluded that overruns
originated mainly in weaknesses in project preparation, client-side payment performance and change management, and it recommended complete designs before tendering, timely payment and strict control of variations. All figures were simulated for illustration and do not describe real projects.

This study assessed the causes and extent of delays in road construction projects in Uganda, using selected road projects as a case study. A quantitative design was adopted, and a coded dataset of 120 road projects was analysed using descriptive statistics, Pearson correlations, multiple linear regression of schedule overrun and binary logistic regression of major delay, supported by diagnostic tests. The study results indicated that schedule overruns averaged 17.1% of the contract period and that right-of-way delays (B = 8.72 percentage points, p < 0.001), delays in the payment of certificates, variation orders, overlap with the wet season and longer road length increased overrun, while greater contractor experience reduced it. Right-of-way delays and wet-season overlap multiplied the odds of a major delay by factors of 14.3 and 15.3 respectively. Heteroscedasticity was detected and addressed through robust standard errors, which left the conclusions unchanged. The study concluded that delays were driven mainly by client-side and contractual factors, and it recommended timely land acquisition and compensation, prompt payment, disciplined variation management and contractor prequalification.

This study assessed occupational health and safety practices on building construction sites in Uganda and examined which practices were associated with lower injury rates and fewer serious accidents. A quantitative case-study design was adopted, and a coded dataset of 120 building sites was analysed using descriptive statistics, Pearson correlations, multiple linear regression of the injury rate and binary logistic regression of serious accidents, supported by diagnostic tests. The dataset was simulated for study purposes and was designed as a
template to be replaced by real site records. The study results indicated that injury rates averaged 3.4 per 100 workers per year, and that the employment of a safety officer (B = -1.19, p = 0.032) and safety training hours (B = -0.134, p = 0.004) were significantly associated with lower injury rates. Safety officers (odds ratio = 0.37, p = 0.021) and regular inspections (odds ratio = 0.67, p = 0.027) reduced the odds of a serious accident.
Heteroscedasticity and non-normal residuals were detected and addressed through robust standard errors, which left the conclusions unchanged. The study concluded that organisational safety arrangements mattered more than site size or contractor type, and it recommended mandatory safety officers, structured training, more frequent inspections and improved accident reporting.

This study assessed the reliability of electricity supply to industrial customers in Uganda, using selected industrial areas as a case study. A quantitative design was adopted, and a coded dataset of 100 industrial connections was analysed using descriptive statistics, Pearson correlations, multiple linear regression of monthly outage hours and binary logistic regression of significant output loss, supported by diagnostic tests. The dataset was simulated for
study purposes and was designed as a template to be replaced by real utility and firm records. The study results indicated that customers experienced an average of 8.8 outage hours per month, and that a dedicated feeder (B = -5.69 hours, p < 0.001) and more preventive maintenance reduced outages, while older feeders and greater distance from the substation increased them. A dedicated feeder reduced the odds of significant output loss (odds ratio =
0.22, p = 0.008), while greater distance from the substation increased them (odds ratio = 1.24, p = 0.014).
Heteroscedasticity was detected and addressed through robust standard errors, which left the conclusions unchanged. The study concluded that reliability depended chiefly on network configuration, age and maintenance, and it recommended dedicated feeders for industrial parks, refurbishment of ageing lines, structured preventive maintenance and publication of reliability data.

This study examined how climate-related flooding affected the performance of road infrastructure in Uganda, using flood-prone roads as a case study. A quantitative design was adopted, and a coded dataset of 110 floodprone road sections was analysed using descriptive statistics, Pearson correlations, multiple linear regression of flood-related closure days and binary logistic regression of severe flood damage, supported by diagnostic tests.
The dataset was simulated for study purposes and was designed as a template to be replaced by real road agency and meteorological records. The study results indicated that roads were closed for an average of 9.4 days per year, and that more heavy-rain days (B = 0.92, p < 0.001), proximity to a wetland or river (B = 5.31, p < 0.001) and greater road age increased closure, while adequate culverts, paved surfaces and maintenance spending reduced it.
Adequate culvert capacity (odds ratio = 0.11, p < 0.001) and paved surfaces (odds ratio = 0.12, p < 0.001) sharply reduced the odds of severe damage. Heteroscedasticity was detected and addressed with robust standard errors, which left the conclusions unchanged. The study concluded that climate hazards translated into road damage mainly through weaknesses in drainage and location, and it recommended climate-resilient design standards,culvert upgrading, risk-based maintenance and the systematic collection of flood data.

This study examined the effect of the quality of construction materials and workmanship on the performance of road infrastructure in Uganda, using selected road projects as a case study. A quantitative design was adopted, and a coded dataset of 110 road sections was analysed using descriptive statistics, Pearson correlations, multiple linear regression of the Pavement Condition Index five years after construction and binary logistic regression of premature failure, supported by diagnostic tests. The study results indicated that pavement condition averaged
58.3 points after five years, and that higher subgrade strength, greater compaction, quality-assurance compliance and adequate drainage improved condition, while weaker aggregates, binder content deviations and heavier traffic reduced it (the model explained 53.3% of the variance). Aggregate abrasion value was the strongest predictor (beta = -0.42, p < 0.001). In the logistic model, stronger subgrade, better compaction and lower abrasion values reduced the odds of premature failure. The diagnostic tests were satisfactory. The study concluded that material quality and construction control were central to road performance, and it recommended stricter material testing, enforced quality assurance, improved drainage and public reporting of test results.

This study examined the effect of project management practices on the performance of construction projects in Uganda, using selected construction companies as a case study. A quantitative, cross-sectional design was applied to an study dataset of 160 simulated projects. A six-item project performance scale was highly reliable (Cronbach’s alpha = .893). Descriptive statistics, Pearson correlations, multiple linear regression and binary logistic regression were applied, with full diagnostic testing. The linear model explained 75.2 percent of the variance in project performance, with planning, monitoring and control, risk management and stakeholder
communication each having a significant positive effect, while manager experience, project size and software use did not. In the logistic model, a one-point improvement in planning multiplied the odds of on-time completion by 2.09 and a one-point improvement in risk management multiplied them by 1.65. The study concluded that disciplined planning and control practices were the principal drivers of performance and recommended the institutionalization of planning, risk and monitoring systems in construction firms.

This study examined the effect of poor drainage systems on the performance of urban roads in Kampala, Uganda.
A quantitative, cross-sectional design was applied to an illustrative dataset of 180 simulated road segments, using the Pavement Condition Index as the main measure of performance. Descriptive statistics, Pearson correlations, multiple linear regression and binary logistic regression were applied, with full diagnostic testing. The linear model explained 82.9 percent of the variance in pavement condition. Better drainage condition and the presence of lined drains raised the index, while flooding, ponding of water on the carriageway, pavement age, traffic and heavy vehicles lowered it. In the logistic model, ponding of water multiplied the odds that a segment had required major rehabilitation in the last five years by 2.21, and each one-point improvement in drainage condition reduced those odds by about 44 percent. The study concluded that drainage was a principal determinant of pavement life in Kampala and recommended integrated planning, routine drain maintenance and the incorporation of drainage into every road project. All figures were simulated for illustration and do not describe real roads.