Abdullateef Olanrewaju – författare

Books on green building theories, principles and strategies applicable to life cycles of all kinds of buildings and building types are already widely available. However, those specifically on greening affordable housing that guide various housing stakeholders at different life cycles are still very limited. This book intends to fill this gap. Integrating green building enables stakeholders to address the environmental component that has not traditionally been seen as an integral part of affordable housing development. The book presents theories and principles with practical methods, strategies and processes not only to make affordable housing green but also to support economic stability and social equity.

Books on green building theories, principles and strategies applicable to life cycles of all kinds of buildings and building types are already widely available. However, those specifically on greening affordable housing that guide various housing stakeholders at different life cycles are still very limited. This book intends to fill this gap. Integrating green building enables stakeholders to address the environmental component that has not traditionally been seen as an integral part of affordable housing development. The book presents theories and principles with practical methods, strategies and processes not only to make affordable housing green but also to support economic stability and social equity.

This book offers a captivating discussion into the cutting-edge developments at the intersection of architecture, engineering, construction, and technology. With a focus on the power of big data analytics and computational design, this book delves into the transformative potential of these domains in shaping the built environment and business.

This book discovers the fusion of architectural and engineering innovations with the capabilities of big data analytics, machine learning, and AI and explores how this parallelism is revolutionizing the design process, enhancing efficiency, and opening new horizons for creativity.

This book steps into a world where predictive models, statistical algorithms, and what-if scenarios drive advancements in architectural and engineering practices and witnesses the seamless integration of technology in design generation, data visualization, task automation, and performance testing.

It is an essential read for researchers and professionals seeking to leverage the potential of big data analytics to transform the built environment, maintaining the central role of humans.

This book provides a centralized source of information on specific sustainable construction management strategies, practices, and principles. It compiles pertinent information on sustainable construction management into a single, easily accessible document together with guidelines, procedures, and best practices. Without having to examine several sources, users may easily access the information they require for sustainable construction management.  This book blatantly seeks to standardize procedures, enable onboarding and training, guarantee compliance, offer reference and troubleshooting assistance, encourage openness and communication, and promote ongoing process and organizational improvement. The book contains practical insights and trends drawing from empirical conclusions that are derived from data collected from experts and practitioners in the construction sector. Potential readers could include instructors at tertiary institutions, students (both research, graduate, and undergraduate students) as well as policy-makers from the relevant authorities who seek to better understand sustainability in the built environment.