Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement

Xu, Haowen; Omitaomu, Femi; Sabri, Soheil; Zlatanova, Sisi; Li, Xiao; Song, Yongze

doi:10.1007/s44212-024-00060-w

Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement

Journal Article · Mon Oct 14 00:00:00 EDT 2024 · Urban Informatics

DOI:https://doi.org/10.1007/s44212-024-00060-w· OSTI ID:2466320

Xu, Haowen ^[1]; Omitaomu, Femi ^[1]; Sabri, Soheil ^[2]; Zlatanova, Sisi ^[3]; Li, Xiao ^[4]; Song, Yongze ^[5]

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Univ. of Central Florida, Orlando, FL (United States)
Univ. of New South Wales, Sydney, NSW (Australia)
Univ. of Oxford (United Kingdom)
Curtin Univ., Bentley, WA (Australia)

The digital transformation of modern cities by integrating advanced information, communication, and computing technologies has marked the epoch of data-driven smart city applications for efficient and sustainable urban management. Despite their effectiveness, these applications often rely on massive amounts of high-dimensional and multi-domain data for monitoring and characterizing different urban sub-systems, presenting challenges in application areas that are limited by data quality and availability, as well as costly efforts for generating urban scenarios and design alternatives. As an emerging research area in deep learning, Generative Artificial Intelligence (GenAI) models have demonstrated their unique values in content generation. This paper aims to explore the innovative integration of GenAI techniques and urban digital twins to address challenges in the planning and management of built environments with focuses on various urban sub-systems, such as transportation, energy, water, and building and infrastructure. The survey starts with the introduction of cutting-edge generative AI models, such as the Generative Adversarial Networks (GAN), Variational Autoencoders (VAEs), Generative Pre-trained Transformer (GPT), followed by a scoping review of the existing urban science applications that leverage the intelligent and autonomous capability of these techniques to facilitate the research, operations, and management of critical urban subsystems, as well as the holistic planning and design of the built environment. Based on the review, we discuss potential opportunities and technical strategies that integrate GenAI models into the next-generation urban digital twins for more intelligent, scalable, and automated smart city development and management.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 2466320

Alternate ID(s):: OSTI ID: 2588282

Journal Information:: Urban Informatics, Journal Name: Urban Informatics Journal Issue: 1 Vol. 3; ISSN 2731-6963

Publisher:: Springer Science and Business Media LLCCopyright Statement

Country of Publication:: United States

Language:: English

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Diffusion Models: A Comprehensive Survey of Methods and Applications Yang, Ling; Zhang, Zhilong; Song, Yang ACM Computing Surveys, Vol. 56, Issue 4 https://doi.org/10.1145/3626235	journal	November 2023
Image Generative AI to Design Public Spaces: a Reflection of how AI Could Improve Co-Design of Public Parks Guridi, Jose A.; Cheyre, Cristobal; Goula, Maria Digital Government: Research and Practice https://doi.org/10.1145/3656588	journal	April 2024
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Viewpoint: City Information Modelling (CIM) and Digitizing Urban Design Practices Stojanovski, Todor; Partanen, Jenni; Samuels, Ivor Built Environment, Vol. 46, Issue 4 https://doi.org/10.2148/benv.46.4.637	journal	December 2020
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Digital Twin: Origin to Future Singh, Maulshree; Fuenmayor, Evert; Hinchy, Eoin Applied System Innovation, Vol. 4, Issue 2 https://doi.org/10.3390/asi4020036	journal	May 2021
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Evaluating the Impact of Public Participation Processes on Participants in Smart City Development: A Scoping Review Senior, Coline; Temeljotov Salaj, Alenka; Johansen, Agnar Buildings, Vol. 13, Issue 6 https://doi.org/10.3390/buildings13061484	journal	June 2023
Alternative Approaches to HVAC Control of Chat Generative Pre-Trained Transformer (ChatGPT) for Autonomous Building System Operations Ahn, Ki Uhn; Kim, Deuk-Woo; Cho, Hyun Mi Buildings, Vol. 13, Issue 11 https://doi.org/10.3390/buildings13112680	journal	October 2023
Image-to-Image Translation-Based Structural Damage Data Augmentation for Infrastructure Inspection Using Unmanned Aerial Vehicle Gwon, Gi-Hun; Lee, Jin-Hwan; Kim, In-Ho Drones, Vol. 7, Issue 11 https://doi.org/10.3390/drones7110666	journal	November 2023
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Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review Majeed, Abdul Journal of Cybersecurity and Privacy, Vol. 3, Issue 3 https://doi.org/10.3390/jcp3030030	journal	September 2023
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Planning Walkable Cities: Generative Design Approach towards Digital Twin Implementation Kumalasari, Dewi; Koeva, Mila; Vahdatikhaki, Faridaddin Remote Sensing, Vol. 15, Issue 4 https://doi.org/10.3390/rs15041088	journal	February 2023
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Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies Ferrara, Emilio Sci, Vol. 6, Issue 1 https://doi.org/10.3390/sci6010003	journal	December 2023
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Smart City Governance in Developing Countries: A Systematic Literature Review Tan, Si; Taeihagh, Araz Sustainability, Vol. 12, Issue 3 https://doi.org/10.3390/su12030899	journal	January 2020
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Lean Practices Using Building Information Modeling (BIM) and Digital Twinning for Sustainable Construction Sepasgozar, Samad M. E.; Hui, Felix Kin Peng; Shirowzhan, Sara Sustainability, Vol. 13, Issue 1 https://doi.org/10.3390/su13010161	journal	December 2020
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Digital Twins in Civil Infrastructure Systems Callcut, Matthew; Cerceau Agliozzo, Jean-Paul; Varga, Liz Sustainability, Vol. 13, Issue 20 https://doi.org/10.3390/su132011549	journal	October 2021
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Smart Water Grids and Digital Twin for the Management of System Efficiency in Water Distribution Networks Ramos, Helena M.; Kuriqi, Alban; Besharat, Mohsen Water, Vol. 15, Issue 6 https://doi.org/10.3390/w15061129	journal	March 2023
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Leveraging ChatGPT for Real-Time Decision-Making in Autonomous Systems Singh, Gurjeet Eduzone : international peer reviewed/refereed academic multidisciplinary journal, Vol. 12, Issue 02 https://doi.org/10.56614/eiprmj.v12i2.407	journal	January 2023
Towards a standard for identifying and managing bias in artificial intelligence Schwartz, Reva; Vassilev, Apostol; Greene, Kristen https://doi.org/10.6028/NIST.SP.1270	report	March 2022

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