The Future of Sustainable Smart Cities: Using Machine Learning to Enhance Residents’ Well-Being, Optimize Mobility, and Support Commercial Success ... Risk Management and Sustainable Finance)

Cities are engines of economic growth and innovation.To sustain growth in urban agglomerations, local governments need strategies to address disruptions caused by climate change, resource scarcity, and social inequity.Machine learning (ML) offers a powerful way for city planners to manage, predict, and mitigate these complex challenges.While urban planning has traditionally relied on techniques based on historical data and deterministic models, the dynamic and interconnected nature of contemporary challenges demands more sophisticated and AI-augmented approaches.ML algorithms today can ingest large-scale, multisource data to generate real-time predictions and identify vulnerabilities across infrastructure, mobility, and social systems. This book examines how ML supports sustainable smart cities-cities prepared to address multiple challenges while prioritizing resident quality of life by maintaining the capacity to thrive economically and socially.It explores ways to use ML to enable sm