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Government Public Services Presence Index Based on Open Data

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Information Management and Big Data (SIMBig 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1577))

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Abstract

Public services are essential to satisfy the needs of healthcare, education, justice, etc. in citizens’ daily life. Thus, individuals need these services in a certain proximity to their homes. Nonetheless, in big cities, some public services are not close enough. To tackle this problem, we propose a methodology to compute a Government Public Services Presence Index for measuring how well different zones are in a city are served. We apply our methodology to the city of Lima, showing the utility of the index while being simple to understand. We profile fifty different districts in four groups, allowing policymakers and urban planners to observe the lack of public services.

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Notes

  1. 1.

    Administration Level Definitions: https://sedac.ciesin.columbia.edu/povmap/ds_defs_admin.jsp.

  2. 2.

    ESRI shape file: https://www.esri.com/content/dam/esrisites/sitecore-archive/Files/Pdfs/library/whitepapers/pdfs/shapefile.pdf.

  3. 3.

    Python recipe: https://code.activestate.com/recipes/119466/.

  4. 4.

    GostNets: https://github.com/worldbank/GOSTnets.

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Author information

Authors and Affiliations

  1. Instituto de Investigación de la Universidad Andina del Cusco, Cusco, Peru

    Miguel Nunez-del-Prado

  2. Peru Research, Developmente, and Innovation Institute, Lima, Peru

    Miguel Nunez-del-Prado

  3. Pontificia Universidad Catolica del Perú, Lima, Peru

    Leibnitz Rojas-Bustamante

Authors
  1. Miguel Nunez-del-Prado
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  2. Leibnitz Rojas-Bustamante
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Corresponding author

Correspondence to Miguel Nunez-del-Prado .

Editor information

Editors and Affiliations

  1. National Institutes of Health, Bethesda, MD, USA

    Juan Antonio Lossio-Ventura

  2. Visibilia, São Paulo, Brazil

    Jorge Valverde-Rebaza

  3. Universidad Peruana de Ciencias Aplicadas, Lima, Peru

    Eduardo Díaz

  4. ENSIIE and SAMOVAR, Evry, France

    Denisse Muñante

  5. The Open University, Milton Keynes, UK

    Carlos Gavidia-Calderon

  6. Federal University of São Carlos, São Carlos, Brazil

    Alan Demétrius Baria Valejo

  7. University of Engineering and Technology UTEC, Lima, Peru

    Hugo Alatrista-Salas

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Nunez-del-Prado, M., Rojas-Bustamante, L. (2022). Government Public Services Presence Index Based on Open Data. In: Lossio-Ventura, J.A., et al. Information Management and Big Data. SIMBig 2021. Communications in Computer and Information Science, vol 1577. Springer, Cham. https://doi.org/10.1007/978-3-031-04447-2_4

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  • DOI: https://doi.org/10.1007/978-3-031-04447-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04446-5

  • Online ISBN: 978-3-031-04447-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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