The integration of geospatial analyses based on AI in GIS in the context of the “15-minute city” concept
The “15-minute city” concept is an urban planning model that aims to ensure all essential services are accessible within a 15-minute walk or bike ride in order to reduce the reliance on cars and to offer a sustainable approach to urban living, contributing to the achievement of green and inclusive s...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05008.pdf |
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| author | Grădinaru Anca Patricia Badea Ana-Cornelia Ene Anca Badea Gheorghe |
| author_facet | Grădinaru Anca Patricia Badea Ana-Cornelia Ene Anca Badea Gheorghe |
| author_sort | Grădinaru Anca Patricia |
| collection | DOAJ |
| description | The “15-minute city” concept is an urban planning model that aims to ensure all essential services are accessible within a 15-minute walk or bike ride in order to reduce the reliance on cars and to offer a sustainable approach to urban living, contributing to the achievement of green and inclusive smart cities. AI (Artificial Intelligence) tools can provide the means to obtain a quick and efficient response in analysing urban geospatial data and can make data analysis a process available even for non-specialist users. Integrating AI-driven geospatial analysis in GIS can significantly enhance the planning and implementation of this concept, by providing precise, real-time data and predictive insights. The aim of this article is to analyse the possibilities of geospatial data management and analysis using AI tools, within the context of the “15-minute city”, to contribute to the process of obtaining green and inclusive smart cities. |
| format | Article |
| id | doaj-art-7779468dcd2244f7a66f6b84917f1bc7 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-7779468dcd2244f7a66f6b84917f1bc72025-02-05T10:49:34ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016080500810.1051/e3sconf/202560805008e3sconf_eenviro2024_05008The integration of geospatial analyses based on AI in GIS in the context of the “15-minute city” conceptGrădinaru Anca Patricia0Badea Ana-Cornelia1Ene Anca2Badea Gheorghe3Technical University of Civil Engineering, Bucharest, Romania, Faculty of GeodesyTechnical University of Civil Engineering, Bucharest, Romania, Faculty of GeodesyTechnical University of Civil Engineering, Bucharest, Romania, Faculty of GeodesyTechnical University of Civil Engineering, Bucharest, Romania, Faculty of GeodesyThe “15-minute city” concept is an urban planning model that aims to ensure all essential services are accessible within a 15-minute walk or bike ride in order to reduce the reliance on cars and to offer a sustainable approach to urban living, contributing to the achievement of green and inclusive smart cities. AI (Artificial Intelligence) tools can provide the means to obtain a quick and efficient response in analysing urban geospatial data and can make data analysis a process available even for non-specialist users. Integrating AI-driven geospatial analysis in GIS can significantly enhance the planning and implementation of this concept, by providing precise, real-time data and predictive insights. The aim of this article is to analyse the possibilities of geospatial data management and analysis using AI tools, within the context of the “15-minute city”, to contribute to the process of obtaining green and inclusive smart cities.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05008.pdf |
| spellingShingle | Grădinaru Anca Patricia Badea Ana-Cornelia Ene Anca Badea Gheorghe The integration of geospatial analyses based on AI in GIS in the context of the “15-minute city” concept E3S Web of Conferences |
| title | The integration of geospatial analyses based on AI in GIS in the context of the “15-minute city” concept |
| title_full | The integration of geospatial analyses based on AI in GIS in the context of the “15-minute city” concept |
| title_fullStr | The integration of geospatial analyses based on AI in GIS in the context of the “15-minute city” concept |
| title_full_unstemmed | The integration of geospatial analyses based on AI in GIS in the context of the “15-minute city” concept |
| title_short | The integration of geospatial analyses based on AI in GIS in the context of the “15-minute city” concept |
| title_sort | integration of geospatial analyses based on ai in gis in the context of the 15 minute city concept |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05008.pdf |
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