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 10: Iterative Digital Twin Development for High Technology Healthcare Buildings: The Case of a New Ophthalmology Diagnostic Hub 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 ï¼ 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.