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Smart City Digital Twins, 3D Modeling and Visualization Tools, and Spatial Cognition Algorithms in Artificial Intelligence-based Urban Design and Planning

Smart City Digital Twins, 3D Modeling and Visualization Tools, and Spatial Cognition Algorithms... The aim of this systematic review is to synthesize and analyze smart city digital twins, 3D modeling and visualization tools, and spatial cognition algorithms in artificial intelligence-based urban design and planning. With increasing evidence of 3D virtual simulation technology, big data-driven urban analytics, and real-time decision support systems, there is an essential demand for comprehending whether Internet of Things-based digital twins require artificial intelligence-based urban design and planning and real-time urban data. In this research, prior findings were cumulated indicating that data-driven planning technologies leverage multisensor remote sensing data, simulation modeling algorithms, and augmented analytics tools. I carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout April 2022, with search terms including “artificial intelligence-based urban design and planning” + “smart city digital twins,” “3D modeling and visualization tools,” and “spatial cognition algorithms.” As I analyzed research published in 2022, only 178 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, I decided on 33, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Distiller SR, ROBIS, and SRDR. Keywords: smart city; digital twin; modeling; visualization; spatial; urban http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Geopolitics, History, and International Relations Addleton Academic Publishers

Smart City Digital Twins, 3D Modeling and Visualization Tools, and Spatial Cognition Algorithms in Artificial Intelligence-based Urban Design and Planning

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1948-9145
eISSN
2374-4383
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Abstract

The aim of this systematic review is to synthesize and analyze smart city digital twins, 3D modeling and visualization tools, and spatial cognition algorithms in artificial intelligence-based urban design and planning. With increasing evidence of 3D virtual simulation technology, big data-driven urban analytics, and real-time decision support systems, there is an essential demand for comprehending whether Internet of Things-based digital twins require artificial intelligence-based urban design and planning and real-time urban data. In this research, prior findings were cumulated indicating that data-driven planning technologies leverage multisensor remote sensing data, simulation modeling algorithms, and augmented analytics tools. I carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout April 2022, with search terms including “artificial intelligence-based urban design and planning” + “smart city digital twins,” “3D modeling and visualization tools,” and “spatial cognition algorithms.” As I analyzed research published in 2022, only 178 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, I decided on 33, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Distiller SR, ROBIS, and SRDR. Keywords: smart city; digital twin; modeling; visualization; spatial; urban

Journal

Geopolitics, History, and International Relations – Addleton Academic Publishers

Published: Jan 1, 2022

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