School of Built Environment (SBE) Collections

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Now showing 1 - 5 of 424
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    Technical project report for the construction of the proposed AMKAS Development Centre
    (Makerere University, 2023) Mugisha, Muzamil Moses
    This technical project report encompasses all the particulars about the construction of the proposed 4-storey commercial and residential property in Ntinda as of June 2023. The report focuses on construction project management and details the construction activities carried out during the execution of the project and consists of four chapters. Chapter one traces the background of the project, objectives, scope and other project details like the contract sum, duration and the different stakeholders involved. This chapter also elaborates on the author’s involvement on the project as the client’s site engineer. Chapter Two details the project execution including the mobilisation, construction activities and, project management aspects of the project. The different on-site tools and techniques used in the actual construction that took place are discussed in this chapter, right from substructure, through finishes. The project management techniques employed to manage time, cost and quality are also discussed. Chapter Three of the report elaborates the challenges encountered during project execution at; human resource, company level and project level. The chapter further discusses the solutions proposed to address these challenges. Chapter Four details the conclusions drawn by the author about execution of the Proposed 5 storey commercial and residential property project based on the experiences drawn during his participation in this project. The author also made recommendations on how these conclusions can be successfully implemented, going forward, basing on the lessons learnt during the internship.
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    Piecemeal planning in the spatial development of emerging rural growth centers in Uganda : a case of Angagura Sub County, Pader District
    (Makerere University, 2025) Oyet, Alex Labeja
    The study assessed the applicability of piecemeal planning in the spatial development of emerging rural growth centers: a case of Angagura Sub County. The main objectives were; to investigate the concept and perception of piecemeal planning, to evaluate the applicability of piecemeal planning and to assess the integration and adoption of piecemeal plans into contemporary Physical Development Planning Processes. The research adopted planning concepts such as Comprehensive Planning, Communicative Planning, mixed scanning, disjointed incrementalism and Transactive Planning. The study used descriptive survey design. In addition, it considered a sample size of 59 respondents who were selected from a population of 70. The study used purposive and simple random sampling techniques. Interview method, questionnaire survey, and document review were used to gather data. The data collected using questionnaires was quantitatively analysed using Statistical Package for Social Sciences (SPSS). The study found that developers within Angagura have knowledge on the concept of piecemeal planning, the study also found that piecemeal planning is being applied/used when planning for development of Angagura Trading Center. Further, the study discovered that piecemeal plans can be integrated into a comprehensive Physical Development Plans and they influence the direction of the Physical Development Plan. The integration can be achieved through a sequential process of identifying and mapping existing piecemeal plans within the planning area while shorting the similar and dissimilar features, interconnecting similar features and joining them to form one composite map. The study recommended for meaningful sensitization of stakeholders during piecemeal planning is significant. The study also recommended that detailed layout plans should be considered to provide immediate first line solution to spatial development in emerging towns, as the preparation of PDP may takes some time. The study further recommended that the Physical Planning Standards and Guidelines could guide the development process of a detailed layout plan. Similarly it recommended that preparation of Physical Development Plan should not only be restricted to a given administrative jurisdiction but nearby Development nodes should be clearly guided since some of the areas have always been merged into one urban authority. The study also recommended The Physical Planning Consultants to consider engaging the architects of the existing piecemeal plan to get the insight of their thoughts that influenced the proposals in their piecemeal plan.
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    Assessment of traditional institutions in customary land management in Uganda : case study of Kotido District
    (Makerere University, 2025) Draleru, Harriet
    Background: There is an elastic demand for Land resources especially in rural and traditional settings in Uganda. Despite the legal and policy reforms in place, the relationship between land, and tradition remain intact, and it is hard to exhaust land administration and management without traditional institutions, especially in customary tenure communities. Focusing on Karamoja community, this research assesses the role of Traditional Institutions in Customary Land Administration and Management in Kotido District. By exploring this role, the study contributes to Sustainable Development Goals 7, 12 and 15, and enhancing sustainable land management. This research examined legal and policy framework provisions for cultural institutions, existing cultural structures, their relations, opportunities and challenges in management of customary land tenure. Problem: Despite Uganda's affirmative action, legal, and policy progress in land administration, customary land tenure continues to experience challenges and conflicts. In Karamoja region, traditional leaders are less involved. Significant gaps prevail in literature, and practice on whether these leaders understand and play their role as defined in legal frameworks. Thus, there was a need to study the Traditional Institutions’ role in Land Management under customary tenure in Kotido District, Uganda. Methods: A mixed research approach, utilizing the case study design was adopted for the study. Ninety-three participants including clan leaders, elders, private sector, and Kotido District Local Government stakeholders were participated. Questionnaires, FGDs and Interviews were used to collect data as Descriptive and Thematic Analyses were utilized for data collection and Analysis. Results: Several legal and policy frameworks existed, and proposed provisions to support traditional leaders in land management. However, most provisions did not directly communicate to the context of Karamoja. The council of Elders, Clan court system, and Ngi-Akiriketa were the most active traditional institution structures for land management. Several others were passive. Overall, the traditional structures, though sidelined in land administration presented more opportunities than challenges. Conclusion and Recommendations: Traditional institutions had a profound role to play for effective land administration and Management in Uganda, and specifically under the customary tenure settings. Revitalization, support to traditional institutional structures, and aligning national legal and policy frameworks to the communal setting context with high-cherished custom among the Karamojong is a great resource. Engaging and integrating Traditional institutions present more opportunities than challenges for better land management in Uganda.
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    Assessing the least-cost scenarios for electricity distribution network expansion : a case of South-Western Uganda
    (Makerere University, 2025) Kazibwe, Isaac
    Access to reliable electricity underpins socio-economic growth and poverty alleviation, yet rural Uganda faces persistent logistical and financial barriers to universal access. This study employs spatial optimization via OnSSET to evaluate least-cost expansion of electricity networks in South-western Uganda. Integrating high-resolution population, grid infrastructure, renewable resource, demand projection, and cost datasets, the model is calibrated with national electrification rates and development targets to ensure contextually accurate, policy-relevant projections. The study’s methodology encompasses data preparation, model calibration, Levelized Cost of Electricity (LCOE) estimation, geospatial least-cost optimization, and sensitivity checks, culminating in policy recommendations. Findings show that, although stand-alone and minigrid systems remain viable in remote areas to 2030, grid densification emerges by 2040 as the lowest-cost option for almost all settlements, shrinking off-grid areas to under 1%. Spatial analysis using Moran’s I and Gi* statistics reveals that 90% of priority investments cluster in major corridors; Kabale - Muko, Rukungiri - Kambuga, and Kisoro town, where schools, clinics, and tourism hubs can leverage reliable power. The study concludes that South-western Uganda’s electrification strategy should prioritize medium- and low-voltage grid extensions, reserving off-grid solutions for the most remote locations. Key recommendations include phased network upgrades (2025–2030), pilot solarhybrid mini-grids in hotspot areas, incorporation of dynamic planning dashboards for annual breakeven analyses, and linking electrification with productive-use financing. By aligning these measures with Uganda’s Vision 2040, National Development Plan IV, and SDG 7, the research provides an evidence-based, geospatial roadmap for accelerating universal energy access.
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    Landslide susceptibility assessment using random forest classifier in machine learning in the Rwenzori Region
    (Makerere University, 2025) Kugonza, Simon Peter
    Rwenzori Region is found in the Mid-Western part of Uganda and it shares the Ugandan Boarder with the Democratic Republic of Congo. This area happens to fall within the Rift Valley Corridor which is characterized by steep mountainous terrain, intense rainfall, and active tectonic activity, making it highly susceptible to landslides. In recent years, landslides triggered by heavy rainfall have caused significant damage to infrastructure, agricultural lands, and human settlements causing loss of life and economic losses. This study applies Random Forest (RF) model in Machine Learning to assess landslide susceptibility in the region. A landslide inventory map consisting of 79 landslides was prepared using field surveys. Eight causative factors—slope, soil, population density, land use, elevation, rainfall, and distance to streams and distance to roads —were analyzed. The landslide locations were divided into 60% training and 20% validation and 20% testing datasets. The resulting susceptibility maps were validated using Area under the Curve (AUC) method. The RF model showed a predictive accuracy of 91.5%. The final susceptibility map can aid in land-use planning and disaster risk reduction in the Rwenzori Region.