Abstract
Our research aim was to define possible AI-based solutions to be embedded in the Green- coin project, designed as a supportive tool for smart cities to achieve climate neutrality. We used Kamrowska-Załuska’s approach for evaluating AI-based solutions’ potential in urban planning. We narrowed down the research to the educational and economic aspects of smart cities. Furthermore, we used a systematic literature review. We propose solutions supporting the implementation process of net zero policies benefiting from single actions of urban dwellers based on the Greencoin project developed by us. By following smart city sectors, the paper introduces AI-based solutions which can enrich Greencoin by addressing the following needs: (1) shaping pro-environmental behaviors, (2) introducing instruments to reinforce the urban management process, (3) supporting bottom-up ini- tiatives allowing to shape urban resilience, (4) enhancing smart mobility, (5) shaping local economies supporting urban circularity, and (6) allowing better communication with residents. Our research fills the gap in the limited group of studies focused on shaping climate awareness, enhancing smart governance, and supporting social participation and inclusion. It proves that AI-based educational tools can be supportive when implementing adaptation policies toward climate neutrality based on our proposed AI-based model shaping climate awareness.
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Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/ijerph191811183
- License
- open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
International Journal of Environmental Research and Public Health
no. 19,
ISSN: 1660-4601 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Obracht-Prondzynska H., Duda E., Anacka H., Kowal J.: Greencoin as an AI-Based Solution Shaping Climate Awareness.// International Journal of Environmental Research and Public Health -Vol. 19,iss. 18 (2022), s.11183-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/ijerph191811183
- Sources of funding:
-
- Project GreenCoin
- Verified by:
- Gdańsk University of Technology
Referenced datasets
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