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 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.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-01-22
DOI
https://doi.org/10.1051/e3sconf/202560805008/pdf
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
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article

The integration of geospatial analyses based on AI in GIS in the context of the “15-minute city” concept

Springer Link (Chiba Institute of Technology)
Smart Cities and Technologies
article

The integration of geospatial analyses based on AI in GIS in the context of the “15-minute city” concept

article en

Abstract

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.

Springer Link (Chiba Institute of Technology)
Sustainable cities and communities
Openalex Percentile: Top 36%
Smart Cities and Technologies
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