Integrating Social Dimensions into Urban Digital Twins: A Review and Proposed Framework for Social Digital Twins

Smart Cities, Год журнала: 2025, Номер 8(1), С. 23 - 23

Опубликована: Фев. 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.

Язык: Английский

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Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level

Опубликована: Янв. 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.

Язык: Английский

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How 3D Printing Technology Makes Cities Smarter: A Review, Thematic Analysis, and Perspectives

Smart Cities, Год журнала: 2024, Номер 7(6), С. 3458 - 3488

Опубликована: Ноя. 12, 2024

This paper presents a comprehensive review of the transformative impacts 3D printing technology on smart cities. As cities face rapid urbanization, resource shortages, and environmental degradation, innovative solutions such as additive manufacturing (AM) offer potential pathways for sustainable urban development. By synthesizing 66 publications from 2015 to 2024, study examines how improves infrastructure, enhances sustainability, fosters community engagement in city planning. Key benefits include reducing construction time material waste, lowering costs, enabling creation scalable, affordable housing solutions. The also addresses emerging areas integration with digital twins (DTs), machine learning (ML), AI optimize infrastructure predictive maintenance. It highlights use materials soft robotics structural health monitoring (SHM) repairs. Despite promising advancements, challenges remain terms cost, scalability, need interdisciplinary collaboration among engineers, designers, planners, policymakers. findings suggest roadmap future research practical applications cities, contributing ongoing discourse technologically advanced

Язык: Английский

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A Survey of the Real-Time Metaverse: Challenges and Opportunities

Future Internet, Год журнала: 2024, Номер 16(10), С. 379 - 379

Опубликована: Окт. 18, 2024

The metaverse concept has been evolving from static, pre-rendered virtual environments to a new frontier: the real-time metaverse. This survey paper explores emerging field of technologies, which enable continuous integration dynamic, real-world data into immersive environments. We examine key technologies driving this evolution, including advanced sensor systems (LiDAR, radar, cameras), artificial intelligence (AI) models for interpretation, fast fusion algorithms, and edge computing with 5G networks low-latency transmission. reveals how these are orchestrated achieve near-instantaneous synchronization between physical worlds, defining characteristic that distinguishes its traditional counterparts. provides comprehensive insight technical challenges discusses solutions realize responsive dynamic potential applications impact across various fields considered, live entertainment, remote collaboration, simulations, urban planning digital twins. By synthesizing current research identifying future directions, foundation understanding advancing rapidly landscape contributing growing body knowledge on experiences setting stage further innovations in Metaverse transformative field.

Язык: Английский

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Artificial Internet of Things, Sensor-Based Digital Twin Urban Computing Vision Algorithms, and Blockchain Cloud Networks in Sustainable Smart City Administration

Sustainability, Год журнала: 2024, Номер 16(16), С. 6749 - 6749

Опубликована: Авг. 7, 2024

The aim of this paper is to synthesize and analyze existing evidence on interconnected sensor networks digital urban governance in data-driven smart sustainable cities. research topic systematic review whether what extent city can effectively integrate the Internet Things (IoT), Artificial Intelligence (AIoT), intelligent decision algorithms based big data technologies, cloud computing. This relevant since cities place special emphasis involvement citizens decision-making processes development. To investigate work date, search outcome management screening procedures were handled by PRISMA Shiny app flow design. A quantitative literature was carried out June 2024 for published original between 2018 2024. For qualitative analysis process, extraction tools, study screening, reference software, map visualization, machine learning classifiers, software harnessed. Dimensions VOSviewer deployed explore visualize bibliometric data.

Язык: Английский

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The Impact of Digitization on Urban Social–Ecological Resilience: Evidence from Big Data Policy Pilots in China

Sustainability, Год журнала: 2025, Номер 17(2), С. 509 - 509

Опубликована: Янв. 10, 2025

Digitization plays a vital role in fostering economic and social development. This study empirically investigates the impact of digitization on urban industrial structures, technological innovation, public service levels, social–ecological resilience. Various approaches, including two-tier stochastic, spatial econometric, panel threshold models, have been employed to analyze data from 287 cities 2008 2023. These are examined through quasi-natural experiment analyzing evolution resilience following China’s promotion national comprehensive pilot zone for big data. The findings as follows. (1) positive effects ecological substantially outweigh negative effects, with an overall increasing trend net effect, albeit significant regional differences. (2) Digitalization exhibits spillover enhancing local while inhibiting improvements neighboring cities. (3) Technological innovation levels positively affect resilience, whereas structure upgrading has indirect effect. Both demonstrate nonlinear under constraints intermediary mechanism. (4) In terms policy mechanisms, differences structure, capacity, must be considered. approach is essential promoting organic integration across regions, mitigating polarization diffusion

Язык: Английский

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The Development and Construction of City Information Modeling (CIM): A Survey from Data Perspective

Applied Sciences, Год журнала: 2025, Номер 15(9), С. 4696 - 4696

Опубликована: Апрель 24, 2025

With rapid urbanization exacerbating the challenges in resource allocation, environmental sustainability, and infrastructure management, City Information Modeling (CIM) has emerged as an indispensable digital solution for smart city development. CIM represents advanced urban management paradigm that integrates Geographic Systems (GISs), Building (BIM), Internet of Things (IoT) to establish a multidimensional framework comprehensive data intelligent decision making. While existing research primarily focused on technical architectures, governance models, application scenarios, systematic exploration CIM’s data-driven characteristics remains limited. This paper reviews evolution from data-centric view introducing systematically examines lifecycle, including acquisition, processing, analysis, support. Furthermore, it explores key areas such transportation twin cities, emphasizing its deep integration with big data, artificial intelligence (AI), cloud computing enhance services. Despite advancements, faces critical challenges, security, privacy protection, cross-sectoral sharing. survey highlights these limitations points out future directions, adaptive infrastructure, ethical frameworks governance, decision-making systems leveraging multi-source heterogeneous emerging technologies AI blockchain. These innovations will capacity support intelligent, resilient, sustainable By establishing theoretical foundation data-intensive framework, this provides valuable insights forward-looking guidance continued practical implementation.

Язык: Английский

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Navigating Climate Change Challenges through Smart Resilient Cities: A Comprehensive Assessment Framework

Land, Год журнала: 2024, Номер 13(3), С. 266 - 266

Опубликована: Фев. 20, 2024

The rapid increase in the global population is contributing to urgent challenges we face ensuring sustainability of our planet. This demographic shift, which gained momentum 1990s, closely linked a surge natural disasters, both terms their frequency and severity. quest for resources improved quality life, including need housing essential services, has compounded these challenges. With world’s projected double by 2050, approximately two-thirds this expected reside urban areas, are facing complex web interconnected issues that will significantly magnify impacts climate change-induced disasters. It imperative build resilient cities capable withstanding adapting changes. However, growing complexity services necessity integrated management raise questions about preparedness comprehend address multifaceted posed change. In response critical concerns, study endeavors intersection resilience We propose development Smart Resilient City Assessment Framework, comprising two core components: re-evaluation smartness evaluation. Each component consists eight steps. culmination steps results semi-quantitative index accurately reflects city’s position regarding change-related To demonstrate framework’s practicality suitability, present from hypothetical scenario focusing on water supply management, aspect change adaptation. framework equips city managers with necessary tools re-evaluate cities’ resilience, evaluate capacity challenges, make informed decisions integrating smart solutions pave way more sustainable climate-resilient future.

Язык: Английский

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The Use of Digital Twins to Address Smart Tourist Destinations’ Future Challenges

Platforms, Год журнала: 2024, Номер 2(4), С. 234 - 254

Опубликована: Дек. 9, 2024

This research aims to conceptualise the use of digital twins (DT) tool in tourism address smart tourist destinations’ future challenges enhance tourists’ experiences and residents’ quality life through better services developed by DTs. paper investigated DT technology tackle new facing destinations (STDs) terms urban planning, sustainability, security, marketing, activities using data on this topic from expert researchers public private organisations. Also, adopted a systematic review approach analyse illustrate existing literature DTs their for STDs, which helped us develop concept STD context. The findings reveal that is emerging as disruptive being used improve management STDs efficiency, safety, environmental protection, productivity, energy consumption. Moreover, nascent marketing industries, but its versatility relation capacity predict behaviour business ecosystems relevant issues at gives it key role industry. Finally, definition has been included study within context, filling gap industry according some researchers’ suggestions. There are limited scientific publications about jointly sphere. Accordingly, manuscript defines provides viewpoint will help initiate academic discussions context STDs.

Язык: Английский

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Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis

Big Data and Cognitive Computing, Год журнала: 2024, Номер 8(3), С. 27 - 27

Опубликована: Март 4, 2024

In an epoch characterized by the swift pace of digitalization and urbanization, essence community well-being hinges on efficacy urban management. As cities burgeon transform, need for astute strategies to navigate complexities life becomes increasingly paramount. This study employs time series analysis scrutinize citizen interactions with coordinate-based problem mapping platform in Municipality Patras Greece. The research explores temporal dynamics reported issues, a specific focus identifying recurring patterns through lens seasonality. analysis, employing seasonal decomposition technique, dissects data expose trends issues areas city that might be obscured raw big data. It accentuates distinct pattern, concentrations peaking during summer months. extends its approach forecasting, providing insights into anticipated evolution over time. Projections coming years show consistent upward trend both overall those areas, variations. comprehensive exploration seasonality provides valuable stakeholders, enabling informed decision-making predictions regarding future challenges.

Язык: Английский

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