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Citizen-centered big data analysis-driven governance intelligence framework for smart cities

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  • Ju, Jingrui
  • Liu, Luning
  • Feng, Yuqiang

Abstract

Sensors and systems within rapidly expanding smart cities produce citizen-centered big data which have potential value to support citizen-centered urban governance decision-making. There exists a wealth of extant conceptual studies, however, further operational studies are needed to establish a specific path towards implementation of such data to governance decision-making with analytical algorithms that are appropriate for each step of the path. This paper proposes a framework for the use of citizen-centered big data analysis to drive governance intelligence in smart cities from two perspectives: urban governance issues and data-analysis algorithms. The framework consists of three layers: 1) A data-merging layer, which builds a citizen-centered panoramic data set for each citizen by merging citizen-related big data from multiple sources in collaborative urban governance via similarity calculation and conflict resolution; 2) a knowledge-discovery layer, which plots the citizen profile and citizen persona at both individual and group levels in terms of urban public service delivery and citizen participation via simple statistical analysis techniques, machine learning, and econometrics methods; and 3) a decision-making layer, which uses ontology models to standardize urban governance-related attributes, personas, and associations to support governance decision-making via data mining and Bayesian Net techniques. Finally, the proposed framework is validated in a case study on blood donation governance in China. This research highlights the value of citizen-centered big data, pushes data-to-decision research from conceptual to operational, synthesizes previously published frameworks for citizen-centered big data analysis in smart cities, and enhances the mutual supplement cross multiple disciplinaries.

Suggested Citation

  • Ju, Jingrui & Liu, Luning & Feng, Yuqiang, 2018. "Citizen-centered big data analysis-driven governance intelligence framework for smart cities," Telecommunications Policy, Elsevier, vol. 42(10), pages 881-896.
    • Handle: RePEc:eee:telpol:v:42:y:2018:i:10:p:881-896
    DOI: 10.1016/j.telpol.2018.01.003
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    2. Jingrui Ju & Luning Liu & Yuqiang Feng, 2019. "Design of an O2O Citizen Participation Ecosystem for Sustainable Governance," Information Systems Frontiers, Springer, vol. 21(3), pages 605-620, June.
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    8. Abuljadail, Mohammad & Khalil, Ashraf & Talwar, Shalini & Kaur, Puneet, 2023. "Big data analytics and e-governance: Actors, opportunities, tensions, and applications," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    9. Dezhi Li & Wentao Wang & Guanying Huang & Shenghua Zhou & Shiyao Zhu & Haibo Feng, 2023. "How to Enhance Citizens’ Sense of Gain in Smart Cities? A SWOT-AHP-TOWS Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(3), pages 787-820, February.
    10. Antonio De Nicola & Maria Luisa Villani, 2021. "Smart City Ontologies and Their Applications: A Systematic Literature Review," Sustainability, MDPI, vol. 13(10), pages 1-40, May.
    11. Chae, Bongsug (Kevin), 2019. "The evolution of the Internet of Things (IoT): A computational text analysis," Telecommunications Policy, Elsevier, vol. 43(10).
    12. Mimica R. Milošević & Dušan M. Milošević & Dragan M. Stević & Ana D. Stanojević, 2019. "Smart City: Modeling Key Indicators in Serbia Using IT2FS," Sustainability, MDPI, vol. 11(13), pages 1-28, June.
    13. Marimuthu, Malliga & D'Souza, Clare & Shukla, Yupal, 2022. "Integrating community value into the adoption framework: A systematic review of conceptual research on participatory smart city applications," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    14. Lin, Yanliu, 2018. "A comparison of selected Western and Chinese smart governance: The application of ICT in governmental management, participation and collaboration," Telecommunications Policy, Elsevier, vol. 42(10), pages 800-809.
    15. Mimica R. Milošević & Dušan M. Milošević & Ana D. Stanojević & Dragan M. Stević & Dušan J. Simjanović, 2021. "Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities," Mathematics, MDPI, vol. 9(4), pages 1-29, February.
    16. Si Ying Tan & Araz Taeihagh, 2020. "Smart City Governance in Developing Countries: A Systematic Literature Review," Sustainability, MDPI, vol. 12(3), pages 1-29, January.
    17. Saeed Nosratabadi & Amir Mosavi & Ramin Keivani & Sina Ardabili & Farshid Aram, 2020. "State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability," Papers 2010.02670, arXiv.org.
    18. Seung-Yoon Shin & Dongwook Kim & Soon Ae Chun, 2021. "Digital Divide in Advanced Smart City Innovations," Sustainability, MDPI, vol. 13(7), pages 1-22, April.
    19. Gabrielli do Livramento Gonçalves & Walter Leal Filho & Samara da Silva Neiva & André Borchardt Deggau & Manoela de Oliveira Veras & Flávio Ceci & Maurício Andrade de Lima & José Baltazar Salgueirinho, 2021. "The Impacts of the Fourth Industrial Revolution on Smart and Sustainable Cities," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    20. Anthea van der Hoogen & Ifeoluwapo Fashoro & Andre P. Calitz & Lamla Luke, 2024. "A Digital Transformation Framework for Smart Municipalities," Sustainability, MDPI, vol. 16(3), pages 1-28, February.
    21. Jing Wang & Yubing Xu, 2022. "How Does Digitalization Affect Haze Pollution? The Mediating Role of Energy Consumption," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    22. Kris Hartley, 2023. "Public Perceptions About Smart Cities: Governance and Quality-of-Life in Hong Kong," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 731-753, April.
    23. Michaela Kollarova & Tomas Granak & Stanislava Strelcova & Jozef Ristvej, 2023. "Conceptual Model of Key Aspects of Security and Privacy Protection in a Smart City in Slovakia," Sustainability, MDPI, vol. 15(8), pages 1-19, April.

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