AI-Enabled Circular Economy Management for Sustainable Smart Cities: Integrating Artificial Intelligence in Resource Optimization and Waste Reduction

Abstract

As the global community increasingly directs its attention towards sustainable urban development, integrating artificial intelligence (AI) into circular economy (CE) management within smart cities has become a potent strategy. This study aims to examine the potential influence of AI-based technologies on optimizing resources and minimizing waste, which constitute critical components of the principles underpinning the CE. The focus is mainly on applying these technologies within smart city environments. Artificial Intelligence can significantly enhance the processes of gathering, analyzing and decision-making by integrating internet of things (IoT) sensors, data analytics, machine learning algorithms and predictive analytics. This chapter explores the potential of AI in predicting trends, optimizing circular supply chains, improving waste management and recycling practices, facilitating sustainable product design, fostering citizen engagement and aiding policy development. The current research presents a comprehensive examination of the interrelated connection between the principles of CE and the advanced technology of AI. Doing so contributes significantly to our holistic comprehension of how these advancements might collectively influence the development of a more sustainable and resilient future for urban populations.

Citation

Jogarao, M., Lakshmanna, B.C. and Naidu, S.T. (2024), "AI-Enabled Circular Economy Management for Sustainable Smart Cities: Integrating Artificial Intelligence in Resource Optimization and Waste Reduction", Kandpal, V., Santibanez-Gonzalez, E.D., Chatterjee, P. and Nallapaneni, M.K. (Ed.) Smart Cities and Circular Economy, Emerald Publishing Limited, Leeds, pp. 83-96. https://doi.org/10.1108/978-1-83797-957-820241008