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Designing the Ontology of a Smart City Application for Measuring Multidimensional Urban Poverty

Author

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  • Anastasia Panori

    (Aristotle University of Thessaloniki)

  • Christina Kakderi

    (Aristotle University of Thessaloniki)

  • Panagiotis Tsarchopoulos

    (Aristotle University of Thessaloniki)

Abstract

This study tries to analyze and discuss the design process of a smart city application ontology for measuring multidimensional poverty at an urban scale. Starting from the links between smart city concept and human-centered development and moving on to the definition of multidimensional poverty, the literature indicates that there is a need for an orchestrated design of smart city applications for alleviating poverty in its wider sense, based on strong theoretical foundations. The study indicates that a volunteered geographic information (VGI) concept, alongside with a 3-level data structure, should be treated as integral parts of the proposed application structure that uses the human-centered theoretical approach as a baseline to alleviate poverty. The 3-level data structure encompasses a wide range of indicators, referring not only to demographic and spatiotemporal variables, but also covers all essential information for measuring multidimensional poverty index (MPI). Finally, the collected data from this application could be further exploited by local governments and policy makers, as valuable inputs for strategic planning of place-based policies. This study serves as an example of how a smart city application could be used as a tool to effectively improve human-centered policy implications on an urban scale.

Suggested Citation

  • Anastasia Panori & Christina Kakderi & Panagiotis Tsarchopoulos, 2019. "Designing the Ontology of a Smart City Application for Measuring Multidimensional Urban Poverty," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(3), pages 921-940, September.
    • Handle: RePEc:spr:jknowl:v:10:y:2019:i:3:d:10.1007_s13132-017-0504-y
    DOI: 10.1007/s13132-017-0504-y
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    Cited by:

    1. Aldo Mascareño & Pablo A. Henríquez & Marco Billi & Gonzalo A. Ruz, 2020. "A Twitter-Lived Red Tide Crisis on Chiloé Island, Chile: What Can Be Obtained for Social-Ecological Research through Social Media Analysis?," Sustainability, MDPI, vol. 12(20), pages 1-38, October.
    2. H. Patricia McKenna, 2020. "Human-Smart Environment Interactions in Smart Cities: Exploring Dimensionalities of Smartness," Future Internet, MDPI, vol. 12(5), pages 1-18, April.
    3. 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.

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