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Application of Open Government Data to Sustainable City Indicators: A Megacity Case Study

Author

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  • Harmi Takiya

    (Department of Production Engineering, Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil
    President’s Office, Court of Auditors of the City of São Paulo, São Paulo 04027-000, Brazil)

  • Iara Negreiros

    (Department of Civil Construction Engineering, Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil)

  • Charles Lincoln Kenji Yamamura

    (Department of Production Engineering, Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil)

  • José Alberto Quintanilha

    (Institute of Energy and Environment, University of São Paulo, São Paulo 05508-010, Brazil)

  • Cláudia Aparecida Soares Machado

    (Department of Transportation Engineering, Polytechnic School, University of São Paulo, São Paulo 05508-070, Brazil)

  • Alex Abiko

    (Department of Civil Construction Engineering, Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil)

  • Cintia Isabel de Campos

    (Faculty of Science and Technology, Federal University of Goias, Rua Mucuri S/N—Setor Conde dos Arcos, Aparecida de Goiânia 74968-755, Brazil)

  • Marcelo Schneck de Paula Pessoa

    (Department of Production Engineering, Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil)

  • Fernando Tobal Berssaneti

    (Department of Production Engineering, Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil)

Abstract

The access to open government data has been a relevant topic for societies around the world, especially over the last ten years. This paper aims to analyze the indicators of the São Paulo City Observatory (ObservaSampa), confronting them with the ISO 3712x series (sustainable, smart, and resilient cities) standards, to assess if the former meet both open data principles and the ISO prescriptions. Bibliometric analysis, comparative analysis, cluster analysis, and principal component analysis (PCA) were the methods used in this research. From the comparative analysis, 18 indicators were identified as conforming and 41 as partially conforming. Thus, 20% of the ObservaSampa indicators adhere to the ISO standards. The PCA applied to the conforming indicators shows component 1 is related to socioeconomic dimensions, while component 2 refers to social policy, with both appraisals confirmed by cluster analysis. Measuring and presenting city data in compliance with indicator standards is relevant because they open the possibility of comparing different cities. However, there is still a lack of consensus on a common set of indicators to be accommodated within the current ISO standards system.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8802-:d:865723
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    References listed on IDEAS

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    2. Nutthawut Ritmak & Wanchai Rattanawong & Varin Vongmanee, 2023. "A New Dimension of Health Sustainability Model after Pandemic Crisis Using Structural Equation Model," Sustainability, MDPI, vol. 15(2), pages 1-21, January.

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