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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

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  • Ani Matei

    (Faculty of Public Administration, National University of Political Studies and Public Administration, 012244 Bucharest, Romania)

  • Mădălina Cocoșatu

    (Faculty of Public Administration, National University of Political Studies and Public Administration, 012244 Bucharest, Romania)

Abstract

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

Suggested Citation

  • Ani Matei & Mădălina Cocoșatu, 2024. "Artificial Internet of Things, Sensor-Based Digital Twin Urban Computing Vision Algorithms, and Blockchain Cloud Networks in Sustainable Smart City Administration," Sustainability, MDPI, vol. 16(16), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6749-:d:1451440
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    References listed on IDEAS

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    1. Abdelhamid Zaidi & Samuel-Soma M. Ajibade & Majd Musa & Festus Victor Bekun, 2023. "New Insights into the Research Landscape on the Application of Artificial Intelligence in Sustainable Smart Cities: A Bibliometric Mapping and Network Analysis Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 287-299, July.
    2. George Lăzăroiu & Luminița Ionescu & Cristian Uță & Iulian Hurloiu & Mihai Andronie & Irina Dijmărescu, 2020. "Environmentally Responsible Behavior and Sustainability Policy Adoption in Green Public Procurement," Sustainability, MDPI, vol. 12(5), pages 1-12, March.
    3. Ibrahim Abaker Targio Hashem & Raja Sher Afgun Usmani & Mubarak S. Almutairi & Ashraf Osman Ibrahim & Abubakar Zakari & Faiz Alotaibi & Saadat Mehmood Alhashmi & Haruna Chiroma, 2023. "Urban Computing for Sustainable Smart Cities: Recent Advances, Taxonomy, and Open Research Challenges," Sustainability, MDPI, vol. 15(5), pages 1-32, February.
    4. Francesco Caputo & Pierpaolo Magliocca & Rossella Canestrino & Erika Rescigno, 2023. "Rethinking the Role of Technology for Citizens’ Engagement and Sustainable Development in Smart Cities," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    5. Priyanka Mishra & Ghanshyam Singh, 2023. "Energy Management Systems in Sustainable Smart Cities Based on the Internet of Energy: A Technical Review," Energies, MDPI, vol. 16(19), pages 1-36, September.
    6. Filiou, Despoina & Kesidou, Effie & Wu, Lichao, 2023. "Are smart cities green? The role of environmental and digital policies for Eco-innovation in China," World Development, Elsevier, vol. 165(C).
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