Programme: Architecture

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Author: search.filters.author.Adewale, B. A.

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    Implementing Litman’s Nine Principles of Regenerative Architecture: AnEvaluation of a Proposed Public Building Design in Lagos, Nigeria
    (The Fourteenth International Conference on Construction in the, 2024-09) Adewale, B. A.; Ogunbayo, B. F.; Aigbavboa, Clinton Ohis; Ene, Vincent Onyedikachi
    The building and construction industry is a major contributor to environmental degradation, accountingfor significant energy-related carbon emissions and resource consumption. While sustainable building designs havehelped mitigate impacts, they often fail to address the complex challenges of unsustainable practices fully. This hasled to the emergence of regenerative design principles, which view buildings as living systems capable of fosteringthe regeneration of natural systems. This study focuses on a proposed recreation centre design in Lagos, Nigeria, andevaluates its application of Litman's nine principles of regenerative architecture. The methodology encompasses aliterature review, site analysis, and a comprehensive design assessment. The results demonstrate a well-integratedapproach, with the design exemplifying principles such as Whole Systems Design Integration, Integration intotheLandscape, Bold Ecology, and Intelligent Limits. The recreation centre actively contributes to restoringandenhancing the local ecosystem while fostering meaningful connections between the community and the natural environment. The findings provide valuable insights for architects, urban planners, and policymakers, showcasingthe recreation centre as a model for integrating regenerative design principles into public spaces. Limitations of thestudy include its focus on a single case study and the lack of post-occupancy evaluation. Recommendations for future research include comparative analyses of multiple case studies and exploring the broader
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    Assessing Building Information Modelling Usage Level in Construction Projects: Construction Professionals Perspectives
    (The Fourteenth International Conference on Construction in the 21st Century, 2024-09) Ogunbayo, B. F.; Aigbavboa, Clinton; Liphadzi, Murenden; Adewale, B. A.
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    Gender-inclusive regeneration strategies for inner city housing
    (Cities, 2025) Adewale, B. A.; Parisi, Luana
    Urbanization significantly affects inner-city housing, drawing attention from specialists worldwide. While industrialized nations have made strides through government interventions, emerging countries often face worsening conditions for vulnerable groups, especially women, leading to increased homelessness and margin alization. Despite urban regeneration initiatives aimed at revitalizing neighbourhoods, gender disparities persist, with women's interests frequently underrepresented in redevelopment programs. This manuscript presents a structured literature review to address these gaps and proposes a novel framework for implementing gender- inclusive strategies in inner-city housing projects. By critically assessing the successes and failures of regener ation efforts in both developed and developing nations, the study highlights their effects on women and marginalized gender groups. The proposed framework emphasizes recognizing and addressing diverse experi ences, advocating for inclusive community engagement, targeted policy interventions, and thoughtful design considerations. This research contributes valuable evidence-based recommendations to the academic discourse and policy dialogue on gender-inclusive urban development. The insights gleaned from this study offer practical guidance for urban planners, policymakers, and practitioners in fostering more equitable and sustainable urban environments, particularly in developing countries. By prioritizing the interests of vulnerable groups in inner-city regeneration, policymakers can create inclusive strategies that maximize the societal benefits of urban regeneration.
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    A Bibliometric Analysis of AI Trends in the AEC Industry
    (Preprints, 2025-09) Adewale, B. A.; Ene, Vincent Onyedikachi; Aigbavboa, Clinton Ohis
    This study employs a comprehensive bibliometric analysis to examine the evolving landscape of Artificial Intelligence (AI) research within the Architecture, Engineering, and Construction (AEC) industry over the past decade. Through systematic analysis of 68 publications from the Scopus database, utilizing co-authorship networks, citation analysis, and keyword co-occurrence mapping, the research reveals significant patterns and trends in AI adoption and research focus. The findings indicate a rapid growth in research output, with China, the United States, and the United Kingdom emerging as leading contributors. The analysis identifies four primary research clusters: AI integration across AEC processes, building lifecycle applications, digital technologies convergence, and automation techniques. A temporal evolution is observed, transitioning from basic automation to sophisticated applications involving machine learning, digital twins, and deep learning. The study highlights geographical disparities in research contributions and emphasizes the need for standardization in AI implementation. By providing insights into research trends, collaborative networks, and evolving focus areas, this analysis contributes to a deeper understanding of AI's role in transforming the AEC industry. The findings can guide future research directions, inform industry practitioners about emerging technologies, and support policymakers in developing frameworks for AI adoption in construction, ultimately facilitating more effective and responsible integration of AI technologies in AEC practices.
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    Implementing Litman’s Nine Principles of Regenerative Architecture: An Evaluation of a Proposed Public Building Design in Lagos, Nigeria
    (The Fourteenth International Conference on Construction in the 21st Century, 2024-09) Adewale, B. A.; Ogunbayo, B. F.; Aigbavboa, Clinton Ohis; Ene, Vincent Onyedikachi
    The building and construction industry is a major contributor to environmental degradation, accounting for significant energy-related carbon emissions and resource consumption. While sustainable building designs have helped mitigate impacts, they often fail to address the complex challenges of unsustainable practices fully. This has led to the emergence of regenerative design principles, which view buildings as living systems capable of fostering the regeneration of natural systems. This study focuses on a proposed recreation centre design in Lagos, Nigeria, and evaluates its application of Litman's nine principles of regenerative architecture. The methodology encompasses a literature review, site analysis, and a comprehensive design assessment. The results demonstrate a well-integrated approach, with the design exemplifying principles such as Whole Systems Design Integration, Integration into the Landscape, Bold Ecology, and Intelligent Limits. The recreation centre actively contributes to restoring and enhancing the local ecosystem while fostering meaningful connections between the community and the natural environment. The findings provide valuable insights for architects, urban planners, and policymakers, showcasing the recreation centre as a model for integrating regenerative design principles into public spaces. Limitations of the study include its focus on a single case study and the lack of post-occupancy evaluation. Recommendations for future research include comparative analyses of multiple case studies and exploring the broader applicability of regenerative design in diverse public space contexts. By expanding the knowledge and applications of regenerative design, the built environment can catalyse positive change, actively contributing to environmental rejuvenation and community.
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    Exploring the Integration of Digital Technologies and Lean Principles for Transformative Construction Project Management: A Review
    (The Fourteenth International Conference on Construction in the 21st Century, 2024-09) Adewale, B. A.; Aigbavboa, Clinton Ohis; Ogunbayo, B. F.; Ene, Vincent Onyedikachi
    This study explores the synergies between digital technologies and lean project delivery to address persistent challenges in the construction industry. The primary aim is to examine the integration of digital technologies, such as Building Information Modelling (BIM) and modular construction techniques, with lean principles to transform construction project management. Building on previous research highlighting the potential of these approaches, a narrative literature review examined existing knowledge on leveraging digital tools to enable lean project delivery. The review process involved secondary data from scientific databases, with 150 potentially relevant papers scrutinized and reduced to a final sample of 68. Findings demonstrate that integrating digital technology and lean principles drives substantial improvements in collaboration, visualization, data-driven decision-making, productivity, supply chain management, and overall project performance, as evidenced by global case studies. The study identified key challenges and implementation considerations, including the need for cultural shifts, training investments, and robust data management capabilities. BIM's role in enhancing design coordination and modular construction's contribution to waste reduction and efficiency are highlighted as critical components of this integrated approach. The research builds upon earlier studies emphasizing the importance of digital transformation in construction, while uniquely focusing on its synergies with lean principles. Future research directions include in depth case studies, empirical investigations, and collaborative initiatives to further validate benefits, develop best practices, and explore emerging technologies' role in enhancing digital-lean synergies, thus unlocking the full potential of this integrated approach.
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    Design of a Therapeutic Student Centre in Covenant University, Ota, Nigeria: User-Centred Approach
    (2024) Babalola, Daniel Olatunde; Sholanke, Anthony Babatunde; Adewale, B. A.; Ene, Vincent Onyedikachi
    This qualitative study addresses the pressing need for a therapeutic and supportive student center at Covenant University, Nigeria, to tackle escalating mental health concerns and the absence of dedicated well-being spaces on campus. Through semi-structured interviews with 100 undergraduate and postgraduate students, it gathers comprehensive insights into their needs, preferences, and perspectives regarding such a center. Employing a combined inductive-deductive approach to thematic analysis, grounded in trustworthiness strategies like prolonged engagement and member checking, key findings underscore the importance of natural lighting, private comfortable rooms, counseling services, art activities, and a welcoming atmosphere. These insights directly shape recommendations for the center's layout, furniture, services, and stigma-reduction campaigns. The study's rigorous methodology, emphasizing trustworthiness, highlights its contribution to capturing authentic student voices and translating them into actionable recommendations. Acknowledging limitations, such as cultural specificity, it calls for future cross-cultural studies and architectural expertise integration. By centering on students’ perspectives, this research advances discourse on therapeutic architectural design's mental health impact, offering a model for higher education institutions to co-create supportive, user-centered spaces prioritizing holistic well-being
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    Assessing Building Information Modelling Usage Level in Construction Projects: Construction Professionals Perspectives
    (The Fourteenth International Conference on Construction in the 21st Century, 2024-09) Ogunbayo, B. F.; Aigbavboa, Clinton; Liphadzi, Murendeni; Adewale, B. A.
    Building Information Modelling (BIM) usage in the construction industry has rapidly become a game-changer in construction activities, which has revolutionised project planning, designing, construction and management, leading to significant improvements in project coordination, collaboration, efficiency, and overall project outcomes. Hence, this study aims to assess BIM usage in construction projects based on construction professionals' perspectives toward establishing its usage level for different construction activities. Structured questionnaires were distributed to construction professionals in Gauteng province, South Africa, using systematic random sampling techniques to collect data on the level of BIM usage for construction activities for projects within the construction industry. Data was collected through the quantitative approach using a questionnaire survey. A valid mean item score was determined in the study using a statistical data equation; each item was ranked with standard deviations, and Cronbach’s alpha was established. The study findings indicated that project design and planning were the highest-ranked levels of BIM usage in projects in the construction industry. The study recommends that evolving BIM with other innovative technologies, such as cloud-based collaboration, digital twins, and artificial intelligence, will drive the digital transformation of construction projects, improve project delivery processes, and create value for construction stakeholders. The study concluded that the continuous usage of BIM for construction activities will play a key role in reshaping the future of activities in projects and driving digital transformation within the construction industry.
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    An Assessment of the Implementation of Green Design Strategies in Selected Museums in Abuja, Nigeria
    (Civil Engineering and Architecture e 12(3A), 2024) Adewale, B. A.; Ene, Vincent Onyedikachi
    This study evaluates the implementation of green design strategies in selected museums in Abuja, Nigeria to inform sustainable approaches tailored to the local context. The qualitative study utilizes observational assessments of 3 major museums – Discovery Museum, Nike Art Gallery, and Retro Africa Gallery. A comparative analysis investigates the adoption of passive design, alternative energy, and water efficiency strategies based on a structured criterion aligned with global sustainability standards. The findings reveal a moderate integration of fundamental techniques like proper orientation, thermal mass walls, solar PV panels, and native drought-resistant plants across the museums. However, substantial gaps exist in implementing more comprehensive solutions like building insulation, greywater recycling, rain gardens, eco fixtures, and real-time metering. While initial steps have been taken, holistic opportunities remain to transform the museums into genuinely sustainable, net-zero facilities through extensive daylighting, diverse renewable systems, and total water recycling. The Retro Africa Gallery emerges as a leader, exemplifying an integrated green design approach. Recommendations are provided focused on state-of-the-art passive design, diversified alternative energy generation, and closed-loop water conservation strategies tailored to the contextual needs of Nigerian museums. The study concludes these institutions can become inspiring models of ecological design, leading broad climate action through pioneering sustainable architecture.
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    Application of Artificial Intelligence (AI) in Sustainable Building Lifecycle; A Systematic Literature Review
    (Preprints, 2024) Adewale, B. A.; Ene, Vincent Onyedikachi; Ogunbayo, Babatunde Fatai; Aigbavboa, Clinton Ohis
    With buildings accounting for a significant portion of global energy consumption and greenhouse gas emissions, the application of artificial intelligence (AI) holds promise for enhancing sustainability in the building lifecycle. This systematic literature review addresses the current understanding of AI’s potential to optimize energy efficiency and minimize environmental impact in building design, construction, and operation. A comprehensive literature review and synthesis were conducted to identify AI technologies applicable to sustainable building practices, examine their influence, and analyze the challenges of implementation. The review was guided by a meticulous search strategy utilizing keywords related to AI application in sustainable building design, construction, and operation. The findings reveal AI’s capabilities in optimizing energy efficiency through intelligent control systems, enabling predictive maintenance, and aiding design simulation. Advanced machine learning algorithms facilitate data‐driven analysis and prediction, while digital twins provide real‐time insights for informed decision‐making. Furthermore, the review identifies barriers to AI adoption, including cost concerns, data security risks, and challenges in implementation. AI presents a transformative opportunity to enhance sustainability in the built environment, offering innovative solutions for energy optimization and environmentally conscious practices. However, addressing technical and practical challenges will be crucial for the successful integration of AI in sustainable building practices.