Routledge Handbook of Smart Built Environment

The primary aim of this edited volume is to document the current theories, best practices, and technological advancements in the move towards a Smart Built Environment (SBE). The needs to accelerate towards the SBE are numerous and include: - Increasing complexities and the need for interconnectivity within the built environment (e.g. mega infrastructure projects) - Data-driven decision-making resulting in higher demand from clients (e.g. smart design, construction, operation, and end of life [EOL]) - High requirements from stakeholders (e.g. system efficiency, environmental performance, green procurement) - Fast paced technological advancement and integration - Natural disaster resilience of the built environment (e.g. prediction, smart control of building component) - Sustainability issues around the built environment In this book, the interrelationships among the various lifecycle stages: design, construction, operation, and EOL; the collective benefit of synergy at building level, multi-infrastructure level, and city-level, as well as the ultimate goals in relation to the deployment of smart technologies in the industry are addressed. Part I covers smart design and construction, Part II smart living, and operation, and Part III broadens the scope to the whole smart city. Chapters examine: - How smart technologies can improve the effectiveness, productivity, and efficiency of the built environment - An overview of theories and practices that are enabled by innovations and technologies for developing the SBE - The basis for new research agenda, new concepts, and frameworks for future development This handbook documents the current theories, practices, and technologies and develops a holistic approach for research and practice by adopting a multidimensional outlook for the SBE. It is an essential reference work for all built environment stakeholders, from academia through to the professions.

Professor Weisheng (Wilson) Lu is Chair Professor (Digital Construction) and Head of Department of Real Estate and Construction, Faculty of Architecture at The University of Hong Kong. Professor Chimay J. Anumba is Dean of the College of Design, Construction and Planning at the University of Florida, USA.

Foreword by Faye Bowser Introduction Chapter 1: Digital twins for smart decision making Chapter 2: From particles to spaces: The intelligent planning unit (IPU) theory to simplify the built environment Chapter 3: Generative design for excellence (DfX) for a smart built environment: From rule-based imitation to data-driven exploration Chapter 4: Project Delivery Methods to Digital Fabrication in Architecture: A Comparative Case Study from a Modularity Perspective Chapter 5: Unlocking the power of language models for smart configuration in the AEC domain using spoken language understanding Chapter 6: Physical fatigue assessment (PFA) for construction workers with AI and sensory techniques Chapter 7: Smart or not? Perspectives on digital fabrication and digital construction Chapter 8: Methodical review of exoskeleton use in the construction industry Chapter 9: Ontological Models for Construction Scheduling and Resource Planning Chapter 11: A Theoretical Framework for Integrating Digital Twins in Building Lifecycle Management Chapter 12: Digital Twin-Based Prototype System for Healthcare Facilities Management Chapter 13: Activity-Based Models for Smart and Sustainable Urban Environment Chapter 14: Sustainable Urban Built Environment: Principles, Tools, and Applications Chapter 15: Exploring the Potentials and Obstacles of City Information Modelling Chapter 16: Mobility-as-a-Service (MaaS) and the Built Environment Chapter 17: Integrated Smart Curb Management in Urban Built Environments Addressing Human Dynamics and Disruptive Technologies Chapter 18:Digital technologies for climate-adaptive smart urban transportation systems Chapter 19: Blockchain for Smart Built Environment: Current Status, Challenges, and Prospects Chapter 20: Effects of Signage Color on Human Psychophysiological States and Wayfinding Performance in Urban Underground Spaces with Different Noise Levels: A Combined EEG and VR Experiment Conclusion