This volume delves into how AI-driven analytics and big data provide city planners with deeper insights, enabling more informed decision-making such as efficient resource use, improved public services, and better infrastructure management. An essential read for urban planners, policymakers and researchers.
This volume delves into how AI-driven analytics and big data provide city planners with deeper insights, enabling more informed decision-making such as efficient resource use, improved public services, and better infrastructure management. An essential read for urban planners, policymakers and researchers.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Tan Yigitcanlar is a globally renowned Australian researcher and author in urban studies, technology, and planning, and was acknowledged as one of the top 1% of scientists worldwide by Clarivate in 2023. He serves as Professor of Urban Studies and Planning at Queensland University of Technology's School of Architecture and Built Environment in Brisbane, Australia.
Inhaltsangabe
Part 1 Concepts of Urban Artificial Intelligence Chapter 1 Urban Artificial Intelligence Chapter 2 Artificial Intelligence and the City Chapter 3 Artificially Intelligent Cities Part 2 Technologies of Urban Artificial Intelligence Chapter 4 Algorithmic Urban Planning Technologies for Sustainable Development Chapter 5 Computer Vision Applications for Effective Urban Planning Chapter 6 Algorithmic Infrastructure Optimisation Applications for Urban Greening Chapter 7 Integrated Machine Learning and Remote Sensing for Urban Sustainability