Urban Harmony
AI-Enhanced Cities for Holistic Health and Well-Being
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Beschreibung
This book presents a pioneering exploration into the intersection of artificial intelligence and urban design, focusing on the role AI can play in creating healthier, more sustainable cities. It is a comprehensive, multidimensional framework for transforming urban spaces into environments that not only optimize physical infrastructure but also prioritize the mental, ecological, and social well-being of inhabitants. The book presents a vision of cities as living, dynamic organisms—intelligent, responsive, and attuned to the needs of their populations. Through the deployment of cutting-edge AI technologies, such as Graph Neural Networks (GNNs), Convolutional Neural Networks (CNNs), and Reinforcement Learning (RL), the urban space itself becomes a tool for improving the overall health of its residents.
- Optimizes urban green spaces for mental health through AI-driven spatial models
- Predicts personalized health outcomes using AI to anticipate urban wellness needs
- Ensures equitable urban design with fairness-constrained AI models for social equity
This book presents a pioneering exploration into the intersection of artificial intelligence and urban design, focusing on the role AI can play in creating healthier, more sustainable cities. It is a comprehensive, multidimensional framework for transforming urban spaces into environments that not only optimize physical infrastructure but also prioritize the mental, ecological, and social well-being of inhabitants. The book presents a vision of cities as living, dynamic organisms—intelligent, responsive, and attuned to the needs of their populations. Through the deployment of cutting-edge AI technologies, such as Graph Neural Networks (GNNs), Convolutional Neural Networks (CNNs), and Reinforcement Learning (RL), the urban space itself becomes a tool for improving the overall health of its residents.
Optimizes urban green spaces for mental health through AI-driven spatial models Predicts personalized health outcomes using AI to anticipate urban wellness needs Ensures equitable urban design with fairness-constrained AI models for social equity
Autor*in
Dimitrios Sargiotis
Themen in »Urban Harmony«
AI-driven urban design smart cities urban wellness optimization green space planning Graph Neural Networks (GNNs) AI for social cohesion equity-constrained AI personalized health forecasting urban resilience models urban health interventions Reinforcement Learning in urban design ecological resilience in cities AI for public health urban mobility optimization