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Title	Smart Cities And Blue-Green Infrastructure: The Role Of Machine Learning In Sustainable Solutions
ID_Doc	49296
Authors	Pathak S.; Negi N.; Dadhich P.
Year	2024
Published	Integrating Blue-Green Infrastructure Into Urban Development
DOI	http://dx.doi.org/10.4018/979-8-3693-8069-7.ch021
Abstract	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 to enhance urban resilience, biodiversity, and sustainability. In tandem with these efforts, machine learning (ML) plays a critical role in optimizing the design, implementation, and maintenance of BGI in smart cities. ML algorithms provide the ability to process large datasets from sensors, weather forecasts, and environmental variables to create predictive models that enhance decision-making in urban planning. This paper explores the convergence of smart city initiatives, blue-green infrastructure, and machine learning, examining how advanced data-driven technologies can support sustainable urban development. Key applications include real-time monitoring of water management systems, predicting environmental impacts, optimizing resource allocation, and automating the management of green spaces. The integration of machine learning with bluegreen infrastructure offers cities a transformative pathway toward more sustainable, resilient, and efficient environments. © 2025, IGI Global Scientific Publishing.
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