Outputs (6)

Sustainability concepts in global high-rise residential buildings: a scientometric and systematic review (2023)
Journal Article
Lam, E. W., Chan, A. P., Olawumi, T. O., Wong, I., & Kazeem, K. O. (2024). Sustainability concepts in global high-rise residential buildings: a scientometric and systematic review. Smart and Sustainable Built Environment, 13(2), 425-443. https://doi.org/10.1108/sasbe-04-2023-0094

Purpose
Sustainability has been the subject of several scientific investigations. Many researchers in the construction industry have also examined a range of sustainability-related studies. However, few studies have thoroughly reviewed implementing... Read More about Sustainability concepts in global high-rise residential buildings: a scientometric and systematic review.

Facilitators and benefits of implementing lean premise design: A case of Hong Kong high-rise buildings (2023)
Journal Article
Lam, E. W., Chan, A. P., Olawumi, T. O., Wong, I., & Kazeem, K. O. (2023). Facilitators and benefits of implementing lean premise design: A case of Hong Kong high-rise buildings. Journal of Building Engineering, 80, Article 108013. https://doi.org/10.1016/j.jobe.2023.108013

Defective design, poor stakeholder participation, and a mismatch between design provisions and end-user requirements cause most building construction waste. However, lean building design promotes collaboration and reduces waste. This study examines t... Read More about Facilitators and benefits of implementing lean premise design: A case of Hong Kong high-rise buildings.

Roles of Artificial Intelligence and Machine Learning in Enhancing Construction Processes and Sustainable Communities (2023)
Journal Article
Kazeem, K. O., Olawumi, T. O., & Osunsanmi, T. (2023). Roles of Artificial Intelligence and Machine Learning in Enhancing Construction Processes and Sustainable Communities. Buildings, 13(8), Article 2061. https://doi.org/10.3390/buildings13082061

Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the architectural, engineering, and construction (AEC) sector. This systematic study aims to investigate the roles of AI and ML in improving construction proces... Read More about Roles of Artificial Intelligence and Machine Learning in Enhancing Construction Processes and Sustainable Communities.

Are there any gains in green-tech adoption? Unearthing the beneficial outcomes of smart-sustainable practices in Nigeria and Hong Kong built environment (2023)
Journal Article
Olawumi, T. O., Chan, D. W., Saka, A. B., Ekundayo, D., & Odeh, A. O. (2023). Are there any gains in green-tech adoption? Unearthing the beneficial outcomes of smart-sustainable practices in Nigeria and Hong Kong built environment. Journal of Cleaner Production, 410, Article 137280. https://doi.org/10.1016/j.jclepro.2023.137280

Implementing Smart-sustainable practices (SSP) is crucial to achieving environmentally-friendly buildings and cities. Adequate awareness and understanding of its benefits and impacts are essential for maximizing its implementation. Hence, this study... Read More about Are there any gains in green-tech adoption? Unearthing the beneficial outcomes of smart-sustainable practices in Nigeria and Hong Kong built environment.

Modeling the Principal Success Factors for Attaining Systemic Circularity in the Building Construction Industry: An International Survey of Circular Economy Experts (2023)
Journal Article
Oluleye, B. I., Chan, D. W., Antwi-Afari, P., & Olawumi, T. (2023). Modeling the Principal Success Factors for Attaining Systemic Circularity in the Building Construction Industry: An International Survey of Circular Economy Experts. Sustainable Production and Consumption, 37, 268-283. https://doi.org/10.1016/j.spc.2023.03.008

To achieve zero waste and cumber the acute environmental effect of the building construction industry (BCI), circular economy (CE) implementation is pertinent. Such implementation requires the incorporation of certain actionable factors that are crit... Read More about Modeling the Principal Success Factors for Attaining Systemic Circularity in the Building Construction Industry: An International Survey of Circular Economy Experts.

Modelling the drivers of data science techniques for real estate professionals in the fourth industrial revolution era (2023)
Journal Article
Osunsanmi, T., Olawumi, T. O., Smith, A., Jaradat, S., Aigbavboa, C., Aliu, J., Oke, A., Ajayi, O., & Oyeyipo, O. (2024). Modelling the drivers of data science techniques for real estate professionals in the fourth industrial revolution era. Property Management, https://doi.org/10.1108/PM-05-2022-0034

Purpose
The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate... Read More about Modelling the drivers of data science techniques for real estate professionals in the fourth industrial revolution era.