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Open Data as a Condition for Smart Application Development: Assessing Access to Hospitals in Croatian Cities

Author

Listed:
  • Sanja Seljan

    (Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb, 10000 Zagreb, Croatia)

  • Marina Viličić

    (Faculty of Geodesy, University of Zagreb, 10105 Zagreb, Croatia)

  • Zvonimir Nevistić

    (Faculty of Geodesy, University of Zagreb, 10105 Zagreb, Croatia)

  • Luka Dedić

    (Engineering, Research and Development in Traffic, PROMETIS Ltd., 10000 Zagreb, Croatia)

  • Marina Grubišić

    (Agency for Science and Higher Education, 10000 Zagreb, Croatia)

  • Iva Cibilić

    (Faculty of Geodesy, University of Zagreb, 10105 Zagreb, Croatia)

  • Karlo Kević

    (Faculty of Geodesy, University of Zagreb, 10105 Zagreb, Croatia)

  • Bastiaan van Loenen

    (Faculty of Architecture and the Built Environment, Delft University of Technology, 2628 BL Delft, The Netherlands)

  • Frederika Welle Donker

    (Faculty of Architecture and the Built Environment, Delft University of Technology, 2628 BL Delft, The Netherlands)

  • Charalampos Alexopoulos

    (Department of Information and Communication Systems Engineering, University of the Aegean, 831 00 Samos, Greece)

Abstract

This research aims to assess available spatial open data related to access to hospitals in the three largest Croatian cities (Zagreb, Split, Rijeka), with a future aim to create digital services as an ecosystem that will be used in everyday situations, as part of the concept of “digital society”. Data analysis is performed for the following datasets: hospitals, hospital specialization, public transport (tram, bus), bike routes, car routes, parking and parking for people with disabilities. The future aim is to create a new mobile, multilingual and voice-based application that would enable quick access to information on hospital access, relying on the principles of the open data ecosystem, which would improve over time. There are four specific aims: (1) to identify and analyze portals and open datasets of the selected categories for the three largest Croatian cities; (2) to analyze existing open data assessment frameworks and detect gaps; (3) to create a conceptual open data assessment framework as an open data ecosystem that integrates new end-user perspectives; and (4) to analyze existing open datasets for the three largest cities in Croatia, based on supply and demand by researcher/developer categories, using the newly developed framework. The results show that existing open datasets related to hospital access in the three largest Croatian cities are scattered across different portals. Analyzed frameworks existing on the supply side of open data are more focused on the status of the components, lacking evaluation scales and not including end-user-driven aspects, which would be crucial for the open data ecosystem. As a result, the new “Hospital Access Framework” is created as a conceptual ecosystem, including five categories: supply, demand by researcher/developer, demand by end-user, legal aspect and impact. Analysis of existing open data for the three Croatian cities is performed for two categories (supply and demand by researcher/developer), for which KPIs, indicators and evaluation scales are developed. The other three categories are not analyzed, since the application cannot be developed from existing data, which are insufficient for the creation of a smart application. Results show that existing open data related to hospital access are incomplete or do not exist at all (hospital specialization, parking for people with disabilities, data on multilingualism and voice enabling). Average scores of the supply category are higher than those for demand by researcher/developer, although they are below the average grade, showing a lack of available data that could be used for further development. The new conceptual “Hospital Access Framework” open data ecosystem would benefit from end-user interaction, therefore, improving over time with end-users through interaction.

Suggested Citation

  • Sanja Seljan & Marina Viličić & Zvonimir Nevistić & Luka Dedić & Marina Grubišić & Iva Cibilić & Karlo Kević & Bastiaan van Loenen & Frederika Welle Donker & Charalampos Alexopoulos, 2022. "Open Data as a Condition for Smart Application Development: Assessing Access to Hospitals in Croatian Cities," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12014-:d:922652
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    References listed on IDEAS

    as
    1. Maciej Grzenda & Jaroslaw Legierski, 2021. "Towards Increased Understanding of Open Data Use for Software Development," Information Systems Frontiers, Springer, vol. 23(2), pages 495-513, April.
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    3. Wenli Zhang & Hongbo Jiang & Qigan Shao & Ting Shao, 2022. "Construction of the Evaluation Model of Open Government Data Platform: From the Perspective of Citizens’ Sustainable Use," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
    4. 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.
    5. Maria Kamariotou & Fotis Kitsios, 2022. "Bringing Digital Innovation Strategies and Entrepreneurship: The Business Model Canvas in Open Data Ecosystem and Startups," Future Internet, MDPI, vol. 14(5), pages 1-14, April.
    6. Yi-Ya Hsu & Scott Hawken & Samad Sepasgozar & Zih-Hong Lin, 2022. "Beyond the Backyard: GIS Analysis of Public Green Space Accessibility in Australian Metropolitan Areas," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
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