Data integration across urban digital twin lifecycle: a comprehensive review of current initiatives DOI Creative Commons
Imane Jeddoub, Gilles‐Antoine Nys, Rafika Hajji

et al.

Annals of GIS, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 20

Published: Oct. 15, 2024

Challenges related to data integration and interoperability were raised recently under the auspice of Urban Digital Twin (UDT). This new paradigm shows its potential address current city challenges. However, maximize outcomes at scale, we should tackle fundamental issues integration. Indeed, various (DT) frameworks are developed in practice. Their implementations led identification three main levels The first level involves extension model handle information. second supports by default, needs be transformed meet requirements. third performs front-end with help system architectures. aim this work is analyze, illustrate, guide effectiveness different approaches. exploratory review unpacks according corresponding UDT lifecycle phases (i.e., creation, use, update phases). It highlights challenges potentialities offers DT designer conceptual guidelines Furthermore, theoretical scenarios extracted investigated, considering several types sources data. research provides a comprehensive analytical framework for within UDTs, where some operational examined based on life cycle While state-of-the-art identifies as major challenge full implementation UDT, it not explored depth, only addressed from case study-specific perspective, availability requirement. Hence, generic urban application-independent overview inspired Spatial Data Infrastructure lifecycle. article insights build, UDT. practical list initiatives used illustrate exhaustive, future documented. emphasis creation use lifecycle, which lacks concrete illustration phase. limits practicability maintenance

Language: Английский

A Review of Urban Digital Twins Integration, Challenges, and Future Directions in Smart City Development DOI Open Access
Silvia Mazzetto

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8337 - 8337

Published: Sept. 25, 2024

This review paper explores Urban Digital Twins (UDTs) and their crucial role in developing smarter cities, focusing on making urban areas more sustainable well-planned. The methodology adopted an extensive literature across multiple academic databases related to UDTs smart sustainability, environments, conducted by a bibliometric analysis using VOSviewer identify key research trends qualitative through thematic categorization. shows how can significantly change cities are managed planned examining examples from like Singapore Dubai. study points out the main hurdles gathering data, connecting systems, handling vast amounts of information, different technologies work together. It also sheds light what is missing current research, such as need for solid rules effectively, better cooperation between various city deeper look into affect society. To address gaps, this highlights necessity interdisciplinary collaboration. calls establishing comprehensive models, universal standards, comparative studies among traditional UDT methods. Finally, it encourages industry, policymakers, academics join forces realizing sustainable, cities.

Language: Английский

Citations

21
Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level DOI Creative Commons
Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis

et al.

Future Internet, Journal Year: 2024, Volume and Issue: 16(2), P. 47 - 47

Published: Jan. 30, 2024

Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics is critical to proactive planning, enabling cities adapt evolving challenges. Concurrently, techniques provide virtual replica of the environment, fostering real-time monitoring, simulation, analysis systems. This study underscores significance systems support test scenarios that identify bottlenecks enhance smart city efficiency. paper delves into crucial roles citizen report prediction, technologies at neighborhood level. The integrates extract, transform, load (ETL) processes, artificial intelligence (AI) methodology process interpret streams derived from interactions with city’s coordinate-based problem mapping platform. Using an interactive GeoDataFrame within methodology, dynamic entities facilitate simulations based on various scenarios, allowing users visualize, analyze, predict response system approach reveals antecedent patterns, trends, correlations physical level each area, leading improvements in functionality, resilience, resident quality life.

Language: Английский

Citations

19
Reflecting City Digital Twins (CDTs) for sustainable urban development: Roles, challenges and directions DOI Creative Commons
Qian-Cheng Wang, Maoran Sun, Xuan Liu

et al.

Digital engineering., Journal Year: 2025, Volume and Issue: unknown, P. 100035 - 100035

Published: Jan. 1, 2025

Language: Английский

Citations

3
Integrating Social Dimensions into Urban Digital Twins: A Review and Proposed Framework for Social Digital Twins DOI Creative Commons
Saleh Qanazi, Éric Leclerc, Pauline Bosredon

et al.

Smart Cities, Journal Year: 2025, Volume and Issue: 8(1), P. 23 - 23

Published: Feb. 5, 2025

The rapid evolution of smart city technologies has expanded digital twin (DT) applications from industrial to urban contexts. However, current twins (UDTs) remain predominantly focused on the physical aspects environments (“spaces”), often overlooking interwoven social dimensions that shape concept “place”. This limitation restricts their ability fully represent complex interplay between and systems in settings. To address this gap, paper introduces (SDT), which integrates into UDTs bridge divide technological lived experience. Drawing an extensive literature review, study defines key components for transitioning SDTs, including conceptualization modeling human interactions (geo-individuals geo-socials), applications, participatory governance, community engagement. Additionally, it identifies essential analytical tools implementing outlines research gaps practical challenges, proposes a framework integrating dynamics within UDTs. emphasizes importance active participation through governance model offers comprehensive methodology support researchers, technology developers, policymakers advancing SDT applications.

Language: Английский

Citations

3
Deep learning based approaches from semantic point clouds to semantic BIM models for heritage digital twin DOI Creative Commons
Xiang Pan, Qing Lin,

Siyi Ye

et al.

Heritage Science, Journal Year: 2024, Volume and Issue: 12(1)

Published: Feb. 21, 2024

Abstract This study focuses on the application of deep learning for transforming semantic point clouds into Building Information Models (BIM) to create a Heritage Digital Twin, centering Taoping Village, site historical and cultural significance in Sichuan, China. Utilizing advanced technologies such as unmanned aerial vehicles terrestrial laser scanning, we capture detailed cloud data village. A pivotal element our methodology is KP-SG neural network, which exhibits outstanding overall performance, particularly excelling accurately identifying 11 categories. Among those categories, buildings vegetation, achieves recognition rates 81% 83% respectively, 2.53% improvement mIoU compared KP-FCNN. accuracy critical constructing accurate BIM models facilitating comprehensive architecture landscape analysis. Additionally, KP-SG’s superior segmentation capability contributes creation high-fidelity 3D models, enriching virtual reality experiences. We also introduce digital twin platform that integrates diverse datasets, their information, visualization tools. designed support process automation decision-making provide immersive experiences tourists. Our approach, integrating platform, marks significant advancement preserving understanding traditional villages like demonstrates transformative potential heritage conservation.

Language: Английский

Citations

12
Assessing governance implications of city digital twin technology: A maturity model approach DOI
Masahiko Haraguchi,

Tomomi Funahashi,

Filip Biljecki

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 204, P. 123409 - 123409

Published: May 7, 2024

Language: Английский

Citations

12
Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level DOI Open Access
Andreas F. Gkontzis,

Sotiris Kontsiantis,

Georgios Feretzakis

et al.

Published: Jan. 12, 2024

Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics plays crucial role in proactive planning, enabling cities to adapt evolving challenges. Concurrently, techniques provide virtual replica of the environment, fostering real-time monitoring, simulation, analysis systems. This research underscores significance systems support test scenarios that identify bottlenecks enhance smart city efficiency. The paper delves into roles citizen report prediction, technologies at neighborhood level. study integrates ETL/ELT processes, AI methodology process interpret streams derived from interactions with city's coordinate-based problem mapping platform. By employing an interactive GeoDataFrame within methodology, dynamic entities facilitate simulations based on various scenarios. approach enables users visualize, analyze, predict response system Consequently, antecedent patterns, trends, correlations are visualized physical level each area, leading improvements functionality, resilience, resident quality life.

Language: Английский

Citations

11
Continuing from the Sendai Framework midterm: Opportunities for urban digital twins in disaster risk management DOI
Edgardo Macatulad, Filip Biljecki

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 102, P. 104310 - 104310

Published: Feb. 1, 2024

Language: Английский

Citations

9
Urban Echoes: Exploring the Dynamic Realities of Cities through Digital Twins DOI Creative Commons
Piero Boccardo, Luigi La Riccia, Yogender Yadav

et al.

Land, Journal Year: 2024, Volume and Issue: 13(5), P. 635 - 635

Published: May 8, 2024

Digital twins (DTs) are highly valuable tools for urban planning as they provide a virtual replica of the physical city, integrating real-time data and simulations to enhance decision-making management processes. The use DTs expands possibilities integration visualization in contexts. This includes measurements from multiple sources, such sensors IoT devices, facilitating comprehensive insights. DT’s representation helps authorities planners visualize dynamics improve their understanding ecosystems, energy efficiency, traffic management, emergency response, more. DT supports simulation modeling different scenarios an built environment, enabling predictive analysis transformation decisions anticipation future trends challenges. paper highlights assumptions ongoing progress development city Turin (Italy), focusing on range applications, extraction natural environment features, land data, road network pavement quality, signage, along with continuous model updates over time.

Language: Английский

Citations

9
Synergistic integration of digital twins and zero energy buildings for climate change mitigation in sustainable smart cities: A systematic review and novel framework DOI Creative Commons

Simon Elias Bibri,

Jeffrey Huang, Osama Omar

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115484 - 115484

Published: Feb. 1, 2025

Language: Английский

Citations

1