Digital Twins: Design, Computation, and Digital Transformation of the Built Environment

23.7K

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8

authors

3

articles

Digital Twins: Design, Computation, and Digital Transformation of the Built Environment

23.7K

views

8

authors

3

articles

Editors

3

Sara Shirowzhan

University of New South Wales

Pablo Martinez

University of Alberta

Henry Abanda

Oxford Brookes University

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About

Smart cities are known as cities where decisions are made based on information derived from data. 'Digital twins' as digital versions of cities, where data is collected by sensors, provide information to enable better decision making and therefore smarter cities. In such a context, digitalization and computing technologies play a major role. The two concepts are inextricably connected in many aspects, including their common goal of making the built environment and global cities smarter. Yet, research that draws from these two concepts, especially with regards to their roles in the development of cities, is scarce.

This Research Topic seeks to collect papers focusing on computation and applied mathematics, to present recent advances towards digital twins in civil and construction projects in built environment contexts, including smart cities, building construction and infrastructure. To achieve digital twins for such projects, researchers, and professionals must overcome interdisciplinary challenges relevant to civil engineering, especially in construction, transportation, infrastructure, remote sensing, and the built environment. Articles can present relevant research and case studies to these challenges and achievements.

Topics of interest for this Research Topic include, but are not limited to:

• Design computation and applied mathematics

• Digital transformation case studies and theories

• Industry readiness and technology adoption

• Automation and robotics

• Data science and visualization

• Sensing technologies and information systems

• Digital twins of infrastructure and transportation projects

• Novel technologies for digital twin implementation

• Performance analysis of digital twins in construction projects

• Data analytics for digital twins

• Data visualization for digital twins

• Digital twins of cities and citizens, construction, infrastructure, and processes

• Digital twins’ strategies and road maps

• BIM and GIS for digital twins

• As-built modeling technologies for smart cities

• IOT platforms for digital twins

• Data analysis for accurate 3D urban modelling

• Semantic modeling for smart city digital twins

• Artificial intelligence in digital twins

• Knowledge discovery in smart city digital twins

Smart cities are known as cities where decisions are made based on information derived from data. 'Digital twins' as digital versions of cities, where data is collected by sensors, provide information to enable better decision making and therefore smarter cities. In such a context, digitalization and computing technologies play a major role. The two concepts are inextricably connected in many aspects, including their common goal of making the built environment and global cities smarter. Yet, research that draws from these two concepts, especially with regards to their roles in the development of cities, is scarce.

This Research Topic seeks to collect papers focusing on computation and applied mathematics, to present recent advances towards digital twins in civil and construction projects in built environment contexts, including smart cities, building construction and infrastructure. To achieve digital twins for such projects, researchers, and professionals must overcome interdisciplinary challenges relevant to civil engineering, especially in construction, transportation, infrastructure, remote sensing, and the built environment. Articles can present relevant research and case studies to these challenges and achievements.