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The Potential of GIS Tools for Diagnosing the SFS of Multi-Family Housing towards Friendly Cities—A Case Study of the EU Member State of Poland

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  • Agnieszka Dawidowicz

    (Department of Land Management and Geographic Information Systems, Institute of Spatial Management and Geography, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland)

  • Małgorzata Dudzińska

    (Department of Land Management and Geographic Information Systems, Institute of Spatial Management and Geography, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland)

Abstract

Motives: The need for sustainable urban development, including an improvement in residents’ quality of life, requires ongoing urban diagnostics. Assessments of multi-family housing estates play a very important role in this process. Population growth influences the expansion of housing estates in limited urban space. The extent to which spatial and functional structures (SFS) in housing developments meet the residents’ current needs should be evaluated. These needs undergo dynamic change and are influenced by economic, socio-cultural, sanitary, and ecological factors. Aim: The main objective of this study was to develop a methodology for assessing SFS solutions in open spaces in multi-family residential estates (MFREs) based on a complete list of SFS indicators, and to determine the potential of GIS tools and selected open data sources for automating this process. GIS was used to represent data. The intermediate goal was to determine differences in the SFS solutions of two MFREs that were built with different technologies and urban layouts in the last 70 years in the city of Olsztyn (Poland). Methods: An empirical study was conducted with the use of qualitative and quantitative methods based on a review of the literature, the results of a resident survey, and an analysis of spatial data in ArcGIS and QGIS software. Results: The residents’ needs for SFS in MFREs were identified. A list of 26 SFS indicators and their values (on a 3-point scale) was developed to assess multi-family housing. The applicability of GIS software and spatial data from the national spatial data infrastructure (NSDI) and other sources was assessed in the process. The research method was tested to reveal differences in SFS solutions in the compared MFREs.

Suggested Citation

  • Agnieszka Dawidowicz & Małgorzata Dudzińska, 2022. "The Potential of GIS Tools for Diagnosing the SFS of Multi-Family Housing towards Friendly Cities—A Case Study of the EU Member State of Poland," Sustainability, MDPI, vol. 14(11), pages 1-31, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6642-:d:826968
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    References listed on IDEAS

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    1. Marta Gwiaździńska-Goraj & Katarzyna Pawlewicz & Aleksandra Jezierska-Thöle, 2020. "Differences in the Quantitative Demographic Potential—A Comparative Study of Polish–German and Polish–Lithuanian Transborder Regions," Sustainability, MDPI, vol. 12(22), pages 1-27, November.
    2. You Seok Chung & Ducksu Seo & Jaehwan Kim, 2018. "Price Determinants and GIS Analysis of the Housing Market in Vietnam: The Cases of Ho Chi Minh City and Hanoi," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    3. Nessa Winston, 2017. "Multifamily housing and resident life satisfaction in Europe: an exploratory analysis," Housing Studies, Taylor & Francis Journals, vol. 32(7), pages 887-911, October.
    4. Zoltán Kovács & Günter Herfert, 2012. "Development Pathways of Large Housing Estates in Post-socialist Cities: An International Comparison," Housing Studies, Taylor & Francis Journals, vol. 27(3), pages 324-342.
    5. Lewis Dijkstra & Hugo Poelman & Paolo Veneri, 2019. "The EU-OECD definition of a functional urban area," OECD Regional Development Working Papers 2019/11, OECD Publishing.
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