The aim of this edited book volume is to present new concepts, and applications of Digital Twin and relevant tools in the built environment context. The book identifies key organisational factors that influence the adoption of technology within the architectural service industry, setting the stage for a deeper understanding of the shift towards digital methodologies. The book introduces the Digital Twin Readiness Level framework, a modified metric system with ten levels of risk‑based maturity and an empirical development of a Digital Twin Adoption Model. Furthermore, the text ventures into immersive virtual environments and their applications, showcasing innovative practices that enhance learning and operational efficiency. Additionally, the book examines the integration of Building Information Modelling (BIM) and Geographic Information Systems (GIS), revealing new workflows for creating 3D models of cities. A focus on Australia’s government‑funded infrastructure projects offers insights into the values and acceptance criteria for these technologies, providing a comprehensive overview of their practical implications and future potential. This book is essential reading for practitioners, engineers, and managers involved in any phase of the built environment from design to operation and other architectural, engineering, and construction (AEC) stakeholders who are a part of digital transformations, as well as researchers, educators, and students interested in the field.
Author(s): Samad M. E. Sepasgozar (editor), Sara Shirowzhan (editor)
Series: Advanced Digital Technologies for the Built Environment
Publisher: Routledge
Year: 2024
Language: English
Pages: 210
Contents
List of Contributors
1 Introduction: artificial intelligence, digital twin transformation, and enabling technologies • Samad M. E. Sepasgozar
2 Organisational factors affecting digital technology adoption in the architecture industry: a systematic literature review • Hesham Algassim, Samad M. E. Sepasgozar, Michael J. Ostwald and Steven Davis
3 Digital twin maturity and readiness metrics for assessing practitioners’ intention to use: model development and multi‑group structural analysis • Samad M. E. Sepasgozar, Sara Shirowzhan, Marco Mura, Alberto De Marco, Michael J. Ostwald and David Edwards
4 Digital twin adoption modelling incorporating job relevance, usefulness, and relative advantage: an empirical investigation • Marco Mura, Samad M. E. Sepasgozar, Sara Shirowzhan, Alberto De Marco and Michael J. Ostwald
5 Immersive virtual environments and digital twin applications for education and training: trends in construction, mining, and urban planning studies • Samad M. E. Sepasgozar, Ayaz Ahmad Khan, Sara Shirowzhan, Juan Sebastian Garzon Romero, Christopher Pettit, Chengguo Zhang, Joung Oh and Ruiyu Liang
6 Digital twin for urban decision support systems: scientometric and thematic analysis • Peyman Najafi, Ali Soltani, Ayaz Ahmad Khan, Mahsa Chizfahm, Samad M. E. Sepasgozar and Ning Gu
7 Web‑based BIM‑GIS integration workflows for making cities’ digital twin 3D models • Sara Shirowzhan, Subin Mecheril Binoy and Samad M. E. Sepasgozar
8 BIM and GIS values and acceptance criteria in government‑funded infrastructure projects: a case study of Australia • Lee Butler, Sara Shirowzhan and Samad M. E. Sepasgozar
Index
