Session

Architecture and Spatial Planning

Description

Green spaces are essential for maintaining the quality of life. Due to rapid urbanization, they are rapidly disappearing in Gjakova. This study aims to automate the process of identifying the suitable areas for future urban green spaces in Gjakova city, considering multiple criteria, including: topographic, environmental and socio-economic. The study has integrated multi-criteria spatial analysis in Geographic Information System (GIS), in order to evaluate the suitability of the site selection of urban green spaces. It combines a number of factors in both data models (vector and raster), such as land use/land cover, elevation, slope, existing green areas, proximity to road, water bodys and public services. The adopted methodology helps to improve the methodological framework of green space selection in Gjakova. The study emphasizes how crucial strategic planning is to urban growth in order to promote resident’s quality of life. The findings can help guide policy choices and urban decision-making.

Keywords:

Urban green spaces, Multi-Criteria Analysis, Geographic Information Systems, Urban decision-making.

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-15-3

Location

UBT Lipjan, Kosovo

Start Date

25-10-2024 9:00 AM

End Date

27-10-2024 6:00 PM

DOI

10.33107/ubt-ic.2024.55

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Oct 25th, 9:00 AM Oct 27th, 6:00 PM

Multicriteria analysis for identification of potential urban green spaces in Gjakova (Kosova)

UBT Lipjan, Kosovo

Green spaces are essential for maintaining the quality of life. Due to rapid urbanization, they are rapidly disappearing in Gjakova. This study aims to automate the process of identifying the suitable areas for future urban green spaces in Gjakova city, considering multiple criteria, including: topographic, environmental and socio-economic. The study has integrated multi-criteria spatial analysis in Geographic Information System (GIS), in order to evaluate the suitability of the site selection of urban green spaces. It combines a number of factors in both data models (vector and raster), such as land use/land cover, elevation, slope, existing green areas, proximity to road, water bodys and public services. The adopted methodology helps to improve the methodological framework of green space selection in Gjakova. The study emphasizes how crucial strategic planning is to urban growth in order to promote resident’s quality of life. The findings can help guide policy choices and urban decision-making.