IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v16y2024i2p47-d1329741.html
   My bibliography  Save this article

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

Author

Listed:
  • Andreas F. Gkontzis

    (School of Science and Technology, Hellenic Open University, 26335 Patras, Greece)

  • Sotiris Kotsiantis

    (Department of Mathematics, University of Patras, 26500 Patras, Greece)

  • Georgios Feretzakis

    (School of Science and Technology, Hellenic Open University, 26335 Patras, Greece)

  • Vassilios S. Verykios

    (School of Science and Technology, Hellenic Open University, 26335 Patras, Greece)

Abstract

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

Suggested Citation

  • Andreas F. Gkontzis & Sotiris Kotsiantis & Georgios Feretzakis & Vassilios S. Verykios, 2024. "Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level," Future Internet, MDPI, vol. 16(2), pages 1-44, January.
    • Handle: RePEc:gam:jftint:v:16:y:2024:i:2:p:47-:d:1329741
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/16/2/47/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/16/2/47/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M. R. Mahendrini Fernando Ariyachandra & Gayan Wedawatta, 2023. "Digital Twin Smart Cities for Disaster Risk Management: A Review of Evolving Concepts," Sustainability, MDPI, vol. 15(15), pages 1-25, August.
    2. Bernd W. Wirtz & Wilhelm M. Müller & Florian W. Schmidt, 2021. "Digital Public Services in Smart Cities – an Empirical Analysis of Lead User Preferences," Public Organization Review, Springer, vol. 21(2), pages 299-315, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vittorio Astarita & Giuseppe Guido & Sina Shaffiee Haghshenas & Sami Shaffiee Haghshenas, 2024. "Risk Reduction in Transportation Systems: The Role of Digital Twins According to a Bibliometric-Based Literature Review," Sustainability, MDPI, vol. 16(8), pages 1-26, April.
    2. Muhammad Daud & Francesca Maria Ugliotti & Anna Osello, 2024. "Comprehensive Analysis of the Use of Web-GIS for Natural Hazard Management: A Systematic Review," Sustainability, MDPI, vol. 16(10), pages 1-25, May.
    3. Silvia Mazzetto, 2024. "A Review of Urban Digital Twins Integration, Challenges, and Future Directions in Smart City Development," Sustainability, MDPI, vol. 16(19), pages 1-33, September.
    4. Massimo Lauria & Maria Azzalin, 2024. "Digital Transformation in the Construction Sector: A Digital Twin for Seismic Safety in the Lifecycle of Buildings," Sustainability, MDPI, vol. 16(18), pages 1-22, September.
    5. Bernd W. Wirtz & Marcel Becker & Florian W. Schmidt, 2022. "Smart city services: an empirical analysis of citizen preferences," Public Organization Review, Springer, vol. 22(4), pages 1063-1080, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:16:y:2024:i:2:p:47-:d:1329741. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.