Advances in public policy and administration (APPA) book series, Journal Year: 2024, Volume and Issue: unknown, P. 469 - 488

Published: Dec. 5, 2024

Smart cities are increasingly adopting sustainable practices to improve urban living while addressing environmental concerns. One key component of this movement is blue-green infrastructure (BGI), which integrates water management (blue) and vegetation (green) systems enhance resilience, biodiversity, sustainability. In tandem with these efforts, machine learning (ML) plays a critical role in optimizing the design, implementation, maintenance BGI smart cities. ML algorithms provide ability process large datasets from sensors, weather forecasts, variables create predictive models that decision-making planning. This paper explores convergence city initiatives, infrastructure, learning, examining how advanced data-driven technologies can support development. Key applications include real-time monitoring systems, predicting impacts, resource allocation, automating green spaces. The integration offers transformative pathway toward more sustainable, resilient, efficient environments.

Language: Английский