Abstract
Nature-Based Solutions (NBS) are innovative, eco-friendly actions aiming to protect, manage and restore natural or modified ecosystems. Urban areas with NBS provide a healthier environment, which can have positive outcomes for health of the citizens, while positively affects their well-being and Public Health. The aim of this paper is to present the specifications and the design of an artificial intelligence (AI) enabled platform for monitoring the citizens’ well-being and public health in areas with NBS. The euPOLIS platform's architecture is designed to measure physical activity and collect health related, as well as, environmental data, from multiple data sources to examine the impact of the NBS in the citizens well-being and Public Health. Data analysis and visualization will be conducted using appropriate services and visualization toolboxes. Future work includes the platform development and evaluation coupled with the analysis of the collected data, using specific criteria to assess the improvement of citizens’ well-being.
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Acknowledgements
This work is a part of the euPOLIS project. euPOLIS has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement number: 869448 - Integrated NBS-based Urban Planning Methodology for Enhancing the Health and Well-being of Citizens: the euPOLIS Approach. The authors would like to thank all partners within euPOLIS project for their cooperation and valuable contribution.
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Gallos, P. et al. (2022). Designing a Cloud Based Platform for Monitoring Well-Being and Public Health in Areas with Natural Based Solutions. In: Perakovic, D., Knapcikova, L. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-031-15101-9_7
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