Abstract

This study proposes a Geographic Information System (GIS)-based approach for assessing accessibility to urban facilities in the context of the “15-Minute City” concept. The study was related to the case of Szczecin (Poland). GIS network analysis was employed to generate 15-minute isochrones, enabling assessment of spatial accessibility to facilities across the study area. The analysis covered twelve types of facilities, grouped into three main categories: administration and retail, education, health. The results indicated a high concentration of facilities in the two central districts (on the left and right banks of the city), with lower densities in the outskirts. The findings also reveal discrepancies between the quantity and the diversity of services. Furthermore, the study demonstrates how GIS-based analytics can support the digital transformation of urban governance by providing data-driven accessibility assessments and spatial decision support.

Recommended Citation

Kowalska, S. & Załoga, E.(2026). Geographic Information System for Sustainable Cities: Assessing the „15-Minute City” Concept in Szczecin. In M. Valenta, B. Mannová, R. Pergl, A. Przybylek, M. Lang, H. Linger, C. Schneider, N. Iivari, & E. Insfran (Eds.), Making ISD Sustainable: Reloaded with AI and Automation (ISD2026 Proceedings). Prague, Czech Republic: Czech Technical University in Prague. ISBN: 978-80-01-07585-2. https://doi.org/10.62036/ISD.2026.133

Paper Type

Poster

DOI

10.62036/ISD.2026.133

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Geographic Information System for Sustainable Cities: Assessing the „15-Minute City” Concept in Szczecin

This study proposes a Geographic Information System (GIS)-based approach for assessing accessibility to urban facilities in the context of the “15-Minute City” concept. The study was related to the case of Szczecin (Poland). GIS network analysis was employed to generate 15-minute isochrones, enabling assessment of spatial accessibility to facilities across the study area. The analysis covered twelve types of facilities, grouped into three main categories: administration and retail, education, health. The results indicated a high concentration of facilities in the two central districts (on the left and right banks of the city), with lower densities in the outskirts. The findings also reveal discrepancies between the quantity and the diversity of services. Furthermore, the study demonstrates how GIS-based analytics can support the digital transformation of urban governance by providing data-driven accessibility assessments and spatial decision support.