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.
Tan Yigitcanlar is a globally renowned Australian researcher and author in urban studies, technology, and planning, and is acknowledged as one of the top 1% of scientists worldwide by Clarivate in 2023. He serves as a Professor of Urban Studies and Planning at Queensland University of Technology's School of Architecture and Built Environment in Brisbane, Australia.
Inhaltsangabe
Table of Contents Author Biography Foreword Preface 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
