IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i15p8553-d605873.html
   My bibliography  Save this article

Urban Data Dynamics: A Systematic Benchmarking Framework to Integrate Crowdsourcing and Smart Cities’ Standardization

Author

Listed:
  • Vaia Moustaka

    (Department of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Antonios Maitis

    (Department of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Athena Vakali

    (Department of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Leonidas G. Anthopoulos

    (Department of Business Administration, University of Thessaly, 41110 Larissa, Greece)

Abstract

Urbanization and knowledge economy have highly marked the new millennium. Urbanization brings new challenges which can be addressed by the knowledge economy, which opens up scientific and technical innovation opportunities. The enhancement of cities’ intelligence has heavily impacted city transformation and sustainable decision-making based on urban data knowledge extraction. This work is motivated by the strong demand for robust standardization efforts to steer and measure city performance and dynamics, given the growing tendency of conventional cities’ transformation into smart and resilient ones. This paper revises the earlier so-called “cityDNA” framework, which was designed to detect the interrelations between the six smart city dimensions, such that a city’s profile and capacities are recognized in a systematic manner. The updated framework implements the widely accepted smart city (ISO 37120:2018) standard, along with an adaptive Web service, which processes urban data and visualizes the city’s profile to facilitate decision-making. The proposed framework offers a solid benchmarking service, at which the value of crowdsourced data is exploited for the production of urban knowledge and city transformation empowerment. The proposed benchmarking approach is tested and validated through relevant case studies and a proof-of-concept scenario, in which open data and crowdsourced data are exploited. The outcomes revealed that cities should intensify their KPI-driven data production and exploitation along with a set of solid standards for cities to enable cities with customizable scenarios enriched with indicators that reflect each city’s vibrancy.

Suggested Citation

  • Vaia Moustaka & Antonios Maitis & Athena Vakali & Leonidas G. Anthopoulos, 2021. "Urban Data Dynamics: A Systematic Benchmarking Framework to Integrate Crowdsourcing and Smart Cities’ Standardization," Sustainability, MDPI, vol. 13(15), pages 1-43, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8553-:d:605873
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/15/8553/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/15/8553/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Renata Paola Dameri, 2017. "Smart City Definition, Goals and Performance," Progress in IS, in: Smart City Implementation, chapter 0, pages 1-22, Springer.
    2. Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2018. "Big Data And Big Cities: The Promises And Limitations Of Improved Measures Of Urban Life," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 114-137, January.
    3. De Santis, Roberta & Fasano, Alessandra & Mignolli, Nadia & Villa, Anna, 2014. "Smart city: fact and fiction," MPRA Paper 54536, University Library of Munich, Germany.
    4. Leonidas G. Anthopoulos, 2017. "Understanding Smart Cities: A Tool for Smart Government or an Industrial Trick?," Public Administration and Information Technology, Springer, number 978-3-319-57015-0, March.
    5. Saber Talari & Miadreza Shafie-khah & Pierluigi Siano & Vincenzo Loia & Aurelio Tommasetti & João P. S. Catalão, 2017. "A Review of Smart Cities Based on the Internet of Things Concept," Energies, MDPI, vol. 10(4), pages 1-23, March.
    6. Matthew Berman & Robert W. Orttung, 2020. "Measuring Progress toward Urban Sustainability: Do Global Measures Work for Arctic Cities?," Sustainability, MDPI, vol. 12(9), pages 1-15, May.
    7. Mendizabal, Maddalen & Heidrich, Oliver & Feliu, Efren & García-Blanco, Gemma & Mendizabal, Alaitz, 2018. "Stimulating urban transition and transformation to achieve sustainable and resilient cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 410-418.
    8. Karima Kourtit & Peter Elmlund & Peter Nijkamp, 2020. "The urban data deluge: challenges for smart urban planning in the third data revolution," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 24(4), pages 445-461, October.
    9. Renata Paola Dameri, 2017. "Smart City Implementation," Progress in IS, Springer, number 978-3-319-45766-6, June.
    10. Kumar, Harish & Singh, Manoj Kumar & Gupta, M.P. & Madaan, Jitendra, 2020. "Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Harmi Takiya & Iara Negreiros & Charles Lincoln Kenji Yamamura & José Alberto Quintanilha & Cláudia Aparecida Soares Machado & Alex Abiko & Cintia Isabel de Campos & Marcelo Schneck de Paula Pessoa & , 2022. "Application of Open Government Data to Sustainable City Indicators: A Megacity Case Study," Sustainability, MDPI, vol. 14(14), pages 1-30, July.

    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. Johannes Stübinger & Lucas Schneider, 2020. "Understanding Smart City—A Data-Driven Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    2. Łukasz Brzeziński & Magdalena Krystyna Wyrwicka, 2022. "Fundamental Directions of the Development of the Smart Cities Concept and Solutions in Poland," Energies, MDPI, vol. 15(21), pages 1-52, November.
    3. Wojciech Kozlowski & Kacper Suwar, 2021. "Smart City: Definitions, Dimensions, and Initiatives," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 509-520.
    4. Anne Immonen & Maria Kopsakangas-Savolainen, 2022. "Capturing Consumers’ Awareness and the Intention to Support Carbon Neutrality through Energy Efficient Consumption," Energies, MDPI, vol. 15(11), pages 1-27, May.
    5. Zhu, Yu-Qian & Alamsyah, Nurwahyu, 2022. "Citizen empowerment and satisfaction with smart city app: Findings from Jakarta," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Ioannis Vardopoulos & Maria Papoui-Evangelou & Bogdana Nosova & Luca Salvati, 2023. "Smart ‘Tourist Cities’ Revisited: Culture-Led Urban Sustainability and the Global Real Estate Market," Sustainability, MDPI, vol. 15(5), pages 1-26, February.
    7. Genka Rafailova & Zlatka Todorova-Hamdan & Hristina Filipova, 2022. "Opportunities for Development of Varna as a Smart Tourism Destination (based on an expert survey among representatives of the tourism industry in Varna)," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 11(1), pages 10-17, April.
    8. Ibrahim Mutambik & Abdullah Almuqrin & Fawaz Alharbi & Majed Abusharhah, 2023. "How to Encourage Public Engagement in Smart City Development—Learning from Saudi Arabia," Land, MDPI, vol. 12(10), pages 1-16, September.
    9. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    10. William Villegas-Ch & Xavier Palacios-Pacheco & Sergio Luján-Mora, 2019. "Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus," Sustainability, MDPI, vol. 11(10), pages 1-28, May.
    11. Paulo Ferreira & Éder J.A.L. Pereira & Hernane B.B. Pereira, 2020. "From Big Data to Econophysics and Its Use to Explain Complex Phenomena," JRFM, MDPI, vol. 13(7), pages 1-10, July.
    12. Lill Sarv & Ralf-Martin Soe, 2021. "Transition towards Smart City: The Case of Tallinn," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    13. Marsal-Llacuna, Maria-Lluïsa, 2018. "Future living framework: Is blockchain the next enabling network?," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 226-234.
    14. Kumar, Harish & Singh, Manoj Kumar & Gupta, M.P. & Madaan, Jitendra, 2020. "Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    15. Galdo, Virgilio & Li, Yue & Rama, Martin, 2021. "Identifying urban areas by combining human judgment and machine learning: An application to India," Journal of Urban Economics, Elsevier, vol. 125(C).
    16. Zaheer Allam & Ayyoob Sharifi & Simon Elias Bibri & Didier Chabaud, 2022. "Emerging Trends and Knowledge Structures of Smart Urban Governance," Sustainability, MDPI, vol. 14(9), pages 1-29, April.
    17. Zimu Jia & Long Chen & Jingjia Chen & Guowei Lyu & Ding Zhou & Ying Long, 2020. "Urban modeling for streets using vector cellular automata: Framework and its application in Beijing," Environment and Planning B, , vol. 47(8), pages 1418-1439, October.
    18. Li, Han & Wei, Yehua Dennis & Wu, Yangyi, 2019. "Analyzing the private rental housing market in Shanghai with open data," Land Use Policy, Elsevier, vol. 85(C), pages 271-284.
    19. Mohammed A Raouf & Fazirulhisyam Hashim & Jiun Terng Liew & Kamal Ali Alezabi, 2020. "Pseudorandom sequence contention algorithm for IEEE 802.11ah based internet of things network," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-34, August.
    20. Arntz, Melanie & Brüll, Eduard & Lipowski, Cäcilia, 2021. "Do preferences for urban amenities really differ by skill?," ZEW Discussion Papers 21-045, ZEW - Leibniz Centre for European Economic Research.

    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:jsusta:v:13:y:2021:i:15:p:8553-:d:605873. 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.