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February 5, 20260 citations

Conceptual foundations of artificial intelligence application for life environment regulation: Urban planning and cartographic aspects

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NSNadezhda SamoylovaIMIgor V. Moskalenko

Key Points

  • This research aims to develop conceptual foundations for using AI in urban planning and cartography.
  • Conducted analytical work and gathered information on urban planning principles.
  • Established logical structures of relations in the territory.
  • Created a prototype dataset called 'Urban Environments' for AI applications.
  • Developed a conceptual framework for decision support systems in urban planning.
  • Formulated a dataset specifically designed for generative AI and AI agents.

Abstract

It is important to consider risk assessment, mitigation and adaptation strategies, as well as spatial environment management aspects, including urban planning and mapping. Conceptual urban planning and cartographic scientific principles should be elaborated and taken into account when creating a decision support system for sustainable development of territories, including those carried out with the use of advanced technologies of artificial intelligence (AI). As a result of the study, analytical work and information gathering has been carried out. The study has sought to establish the principles of logical structures of relations and interconnections in the territory for the formation of conceptual scientific foundations of information system architecture and organisation of work with the use of the capabilities of AI. A list was formed to create a prototype dataset in the field of urban planning and urban development (hereinafter - Dataset (AI): “Urban Environments”). This dataset is intended for use by AI, including generative artificial intelligence (GenAI), AI Agents.

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Cite This Study

Samoylova et al. (2025) studied this question.

synapsesocial.com/papers/6984345ff1d9ada3c1fb2769https://doi.org/10.1051/e3sconf/202563202002/pdf
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