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3D Virtual Simulation Technology, Digital Twin Modeling, and Geospatial Data Mining in Smart Sustainable City Governance and Management

3D Virtual Simulation Technology, Digital Twin Modeling, and Geospatial Data Mining in Smart... We draw on a substantial body of theoretical and empirical research on 3D virtual simulation technology, digital twin modeling, and geospatial data mining in smart sustainable city governance and management. With increasing evidence of spatial computing technology, digital twin modeling, multi-sensor environmental data fusion, there is an essential demand for comprehending whether digital twin modeling integrate geospatial data mining and urban cloud data. In this research, prior findings were cumulated indicating that virtual simulation tools, urban sensing technologies, and digital twin networks enable smart city environments. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout March 2022, with search terms including “smart sustainable city governance and management” + “3D virtual simulation technology,” “digital twin modeling,” and “geospatial data mining.” As we analyzed research published in 2022, only 186 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, we decided on 34, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR. Keywords: digital twin; geospatial data; smart sustainable city; governance; simulation http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Geopolitics, History, and International Relations Addleton Academic Publishers

3D Virtual Simulation Technology, Digital Twin Modeling, and Geospatial Data Mining in Smart Sustainable City Governance and Management

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

We draw on a substantial body of theoretical and empirical research on 3D virtual simulation technology, digital twin modeling, and geospatial data mining in smart sustainable city governance and management. With increasing evidence of spatial computing technology, digital twin modeling, multi-sensor environmental data fusion, there is an essential demand for comprehending whether digital twin modeling integrate geospatial data mining and urban cloud data. In this research, prior findings were cumulated indicating that virtual simulation tools, urban sensing technologies, and digital twin networks enable smart city environments. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout March 2022, with search terms including “smart sustainable city governance and management” + “3D virtual simulation technology,” “digital twin modeling,” and “geospatial data mining.” As we analyzed research published in 2022, only 186 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, we decided on 34, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR. Keywords: digital twin; geospatial data; smart sustainable city; governance; simulation

Journal

Geopolitics, History, and International Relations – Addleton Academic Publishers

Published: Jan 1, 2022

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