Artificial Internet of Things, Sensor-Based Digital Twin Urban Computing Vision Algorithms, and Blockchain Cloud Networks in Sustainable Smart City Administration DOI Open Access
Ani Matei, Mădălina Cocoşatu

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

Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review DOI Creative Commons
Simon Elias Bibri, John Krogstie, Amin Kaboli

и другие.

Environmental Science and Ecotechnology, Год журнала: 2023, Номер 19, С. 100330 - 100330

Опубликована: Окт. 19, 2023

The recent advancements made in the realms of Artificial Intelligence (AI) and Things (AIoT) have unveiled transformative prospects opportunities to enhance optimize environmental performance efficiency smart cities. These strides have, turn, impacted eco-cities, catalyzing ongoing improvements driving solutions address complex challenges. This aligns with visionary concept smarter an emerging paradigm urbanism characterized by seamless integration advanced technologies strategies. However, there remains a significant gap thoroughly understanding this new intricate spectrum its multifaceted underlying dimensions. To bridge gap, study provides comprehensive systematic review burgeoning landscape eco-cities their leading-edge AI AIoT for sustainability. ensure thoroughness, employs unified evidence synthesis framework integrating aggregative, configurative, narrative approaches. At core lie these subsequent research inquiries: What are foundational underpinnings how do they intricately interrelate, particularly paradigms, solutions, data-driven technologies? key drivers enablers propelling materialization eco-cities? primary that can be harnessed development In what ways contribute fostering sustainability practices, potential benefits offer challenges barriers arise implementation findings significantly deepen broaden our both sustainable urban as well formidable nature pose. Beyond theoretical enrichment, invaluable insights perspectives poised empower policymakers, practitioners, researchers advance eco-urbanism AI- AIoT-driven urbanism. Through insightful exploration contemporary identification successfully applied stakeholders gain necessary groundwork making well-informed decisions, implementing effective strategies, designing policies prioritize well-being.

Язык: Английский

Процитировано

250

Urban Digital Twin Challenges: A Systematic Review and Perspectives for Sustainable Smart Cities DOI
Charlotte Weil, Simon Elias Bibri, Régis Longchamp

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104862 - 104862

Опубликована: Авг. 18, 2023

Язык: Английский

Процитировано

111

Understanding Local Government Digital Technology Adoption Strategies: A PRISMA Review DOI Open Access
Anne David, Tan Yiğitcanlar, Rita Yi Man Li

и другие.

Sustainability, Год журнала: 2023, Номер 15(12), С. 9645 - 9645

Опубликована: Июнь 15, 2023

Digital technologies are used in various local government activities. Adopting suitable digital technology strategies could enhance service efficiency, effectiveness, and accountability. The challenges of adoption among governments, however, also evident. One the major is capacity, including lack knowledge or awareness how to balance government’s resources that need be implemented. This challenge forms a research gap. study aims consolidate understanding via Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA). It analyses opportunities, challenges, through lens people, processes, frameworks. results show that: (a) Strategies concerning people aspects include building platform public participation, employees’ skills, decision-makers' positive mindset development. (b) process recognizing players’ roles, having clear aim procedure, proper regulation, receiving user input. (c) considering effect technology, technological preparedness, convenience adoption. findings inform policymakers transformation endeavors.

Язык: Английский

Процитировано

46

The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review DOI Creative Commons
Simon Elias Bibri, Jeffrey Huang,

Senthil Kumar Jagatheesaperumal

и другие.

Environmental Science and Ecotechnology, Год журнала: 2024, Номер 20, С. 100433 - 100433

Опубликована: Май 17, 2024

In the dynamic landscape of sustainable smart cities, emerging computational technologies and models are reshaping data-driven planning strategies, practices, approaches, paving way for attaining environmental sustainability goals. This transformative wave signals a fundamental shift — marked by synergistic operation artificial intelligence (AI), things (AIoT), urban digital twin (UDT) technologies. While previous research has largely explored AI, AIoT, UDT in isolation, significant knowledge gap exists regarding their interplay, collaborative integration, collective impact on context cities. To address this gap, study conducts comprehensive systematic review to uncover intricate interactions among these interconnected technologies, models, domains while elucidating nuanced dynamics untapped synergies complex ecosystem Central four guiding questions: What theoretical practical foundations underpin convergence UDT, planning, how can components be synthesized into novel framework? How does integrating AI AIoT reshape improve performance cities? augment capabilities enhance processes challenges barriers arise implementing what strategies devised surmount or mitigate them? Methodologically, involves rigorous analysis synthesis studies published between January 2019 December 2023, comprising an extensive body literature totaling 185 studies. The findings surpass mere interdisciplinary enrichment, offering valuable insights potential advance development practices. By enhancing processes, integrated offer innovative solutions challenges. However, endeavor is fraught with formidable complexities that require careful navigation mitigation achieve desired outcomes. serves as reference guide, spurring groundbreaking endeavors, stimulating implementations, informing strategic initiatives, shaping policy formulations sustainable, development. These have profound implications researchers, practitioners, policymakers, providing roadmap fostering resiliently designed, technologically advanced, environmentally conscious environments.

Язык: Английский

Процитировано

38

Wireless power transfer: Applications, challenges, barriers, and the role of AI in achieving sustainable development goals - A bibliometric analysis DOI Creative Commons
Khaled Obaideen, Lutfi Albasha,

Usama Javed Iqbal

и другие.

Energy Strategy Reviews, Год журнала: 2024, Номер 53, С. 101376 - 101376

Опубликована: Апрель 10, 2024

This study presents a comprehensive bibliometric analysis of 19,235 publications on Wireless Power Transfer (WPT) from 2015 to 2023, underlining its critical role in advancing the Sustainable Development Goals (SDGs). Focusing SDG 7 (Affordable and Clean Energy) 3 (Good Health Well-being), research highlights WPT's significant contributions sustainability across economic, environmental, social realms. Utilizing Biblioshiny VOSviewer, we extract visualize key insights into recent progress, technological applications, top keywords, publication trends, geographical distribution, thematic clusters. Our findings indicate strong emphasis sustainable energy solutions, with 1589 directly related 7. WPT also supports 9 (Industry, Innovation, Infrastructure) 56 11 (Sustainable Cities Communities) 171 publications, contributing resilient infrastructure urban development. Moreover, uncovers potential environmental conservation, notable attention 14 (Life Below Water) 15 Land). The synergy Artificial Intelligence (AI) is emphasized for enhancing efficiency broad application areas such as affordable energy, agricultural yields, health standards, digital education, water purification. Despite challenges like financial constraints, technical hurdles, concerns, paper suggests innovative solutions through funding, research, assessments, collaborative policymaking. Highlighting promise state-of-the-art techniques, this advocates democratizing technology access marginalized regions, presenting pivotal tool sustainable, equitable future aligned SDGs.

Язык: Английский

Процитировано

25

Relationship between CO2 emissions, technological innovation, and energy intensity: Moderating effects of economic and political uncertainty DOI
Samuel Kwesi Dunyo, Samuel Amponsah Odei,

Wiyada Chaiwet

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 440, С. 140904 - 140904

Опубликована: Янв. 27, 2024

Язык: Английский

Процитировано

23

AI-Based Decision Support Systems in Industry 4.0, A Review DOI Creative Commons
Mohsen Soori, Fooad Karımı Ghaleh Jough,

Roza Dastres

и другие.

Journal of Economy and Technology, Год журнала: 2024, Номер unknown

Опубликована: Авг. 1, 2024

Язык: Английский

Процитировано

22

Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance DOI Creative Commons
Simon Elias Bibri, Jeffrey Huang, John Krogstie

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 108, С. 105516 - 105516

Опубликована: Май 9, 2024

Emerging smarter eco-cities, inherently intertwined with environmental governance, function as experimental sites for testing novel technological solutions and implementing reforms aimed at addressing complex challenges. However, despite significant progress in understanding the distinct roles of emerging data-driven governance systems—namely City Brain, Smart Urban Metabolism (SUM), platform urbanism—enabled by Artificial Intelligence Things (AIoT), a critical gap persists systematically exploring untapped potential stemming from their synergistic collaborative integration context urban governance. To fill this gap, study aims to explore linchpin AIoT seamlessly integrating these systems advance eco-cities. Specifically, it introduces pioneering framework that effectively leverages synergies among AIoT-powered enhance sustainability practices In developing framework, employs configurative aggregative synthesis approaches through an extensive literature review in-depth case analysis publications spanning 2018 2023. The identifies key factors driving co-evolution AI IoT into specifies technical components constituting architecture A comparative reveals commonalities differences SUM, urbanism within frameworks These collectively contribute eco-cities leveraging real-time data analytics, predictive modeling, stakeholder engagement. proposed underscores importance decision-making, optimization resource management, reduction impact, collaboration stakeholders, engagement citizens, formulation evidence-based policies. findings unveils presents promising opportunities prospects advancing not only charts strategic trajectory stimulating research endeavors but also holds practical application informed policymaking realm ongoing discussions refinements remain imperative address identified challenges, ensuring framework's robustness, ethical soundness, applicability across diverse contexts.

Язык: Английский

Процитировано

20

Towards inclusive and sustainable strategies in smart cities: A comparative analysis of Zurich, Oslo, and Copenhagen DOI Creative Commons

Oluwadamilola A. Oyadeyi,

Olajide O. Oyadeyi

Research in Globalization, Год журнала: 2025, Номер unknown, С. 100271 - 100271

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

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

и другие.

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

Процитировано

2