| Issue |
E3S Web Conf.
Volume 632, 2025
The 5th Edition of Oriental Days for the Environment “Green Lab. Solution for Sustainable Development” (JOE5)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 9 | |
| Section | AI in Environmental Pollution & Health Risks Management | |
| DOI | https://doi.org/10.1051/e3sconf/202563202002 | |
| Published online | 03 June 2025 | |
Conceptual foundations of artificial intelligence application for life environment regulation: Urban planning and cartographic aspects
1 MGSU, Department of Urban Planning, 129337 Yaroslavskoe shosse, 26, Moscow, Russia
2 TsNIIP Minstroy of Russia, Research Centre for Urban Planning Law, 119331 Vernadskogo ave, 29, Moscow, Russia
3 MIIGAiK, Department of Digital Cartography, 105064 Gorokhovsky per. 4, Moscow, Russia
* Corresponding author: SamoylovaNA@mgsu.ru
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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