Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems.
The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology.
1. Artificial Intelligence in Urban Planning and Design - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iv 6. Contributors - p. Page iv 7. Preface - p. Page vi 8. Acknowledgments - p. Page ix 9. List of Illustrations - p. Page x 10. List of Tables - p. Page xi 11. Chapter 1 : A new agenda for AI-based urban design and planning - p. Page xi 12. Chapter 2 : AI and the limits of human creativity in urban planning and design - p. Page 18 13. Chapter 3 : Complexity science for urban solutions - p. Page 36 14. Chapter 4 : Classes of AI tools, techniques, and methods - p. Page 54 15. Chapter 5 : Urban form analysis through morphometry and machine learning - p. Page 81 16. Chapter 6 : AI-driven BIM on the cloud - p. Page 98 17. Chapter 7 : Deep learning in urban analysis for health - p. Page 116 18. Chapter 8 : Spatial design of energy self-sufficient communities - p. Page 136 19. Chapter 9 : The image of the city through the eyes of machine reasoning - p. Page 160 20. Chapter 10 : Optimizing urban grid layouts using proximity metrics - p. Page 178 21. Chapter 11 : Image analytics for urban planning: The case of the Barcelona Superblock - p. Page 199 22. Chapter 12 : Complexity science-based spatial performance analyses of UNStudio/DP Architects’ SUTD Campus and WOHA's Kampung Admiralty - p. Page 214 23. Chapter 13 : Understanding urban leisure walking behavior: Correlations between neighborhood features and fitness tracking data - p. Page 243 24. Chapter 14 : Spacemaker.Ai: Using AI in developing urban block variations - p. Page 260 25. Chapter 15 : Möbius evolver: Competitive exploration of urban massing strategies - p. Page 291 26. Chapter 16 : Adaptive master plans: Flexible modular design strategies - p. Page 319 27. Chapter 17 : SASAKI: Filling the design gap—Urban impressions with AI - p. Page 335 28. Chapter 18 : KPF: A retrospective view on urban planning AI for 2020 - p. Page 362 29. Index - p. Page 380
Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems.
The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology.
1. Artificial Intelligence in Urban Planning and Design - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iv 6. Contributors - p. Page iv 7. Preface - p. Page vi 8. Acknowledgments - p. Page ix 9. List of Illustrations - p. Page x 10. List of Tables - p. Page xi 11. Chapter 1 : A new agenda for AI-based urban design and planning - p. Page xi 12. Chapter 2 : AI and the limits of human creativity in urban planning and design - p. Page 18 13. Chapter 3 : Complexity science for urban solutions - p. Page 36 14. Chapter 4 : Classes of AI tools, techniques, and methods - p. Page 54 15. Chapter 5 : Urban form analysis through morphometry and machine learning - p. Page 81 16. Chapter 6 : AI-driven BIM on the cloud - p. Page 98 17. Chapter 7 : Deep learning in urban analysis for health - p. Page 116 18. Chapter 8 : Spatial design of energy self-sufficient communities - p. Page 136 19. Chapter 9 : The image of the city through the eyes of machine reasoning - p. Page 160 20. Chapter 10 : Optimizing urban grid layouts using proximity metrics - p. Page 178 21. Chapter 11 : Image analytics for urban planning: The case of the Barcelona Superblock - p. Page 199 22. Chapter 12 : Complexity science-based spatial performance analyses of UNStudio/DP Architects’ SUTD Campus and WOHA's Kampung Admiralty - p. Page 214 23. Chapter 13 : Understanding urban leisure walking behavior: Correlations between neighborhood features and fitness tracking data - p. Page 243 24. Chapter 14 : Spacemaker.Ai: Using AI in developing urban block variations - p. Page 260 25. Chapter 15 : Möbius evolver: Competitive exploration of urban massing strategies - p. Page 291 26. Chapter 16 : Adaptive master plans: Flexible modular design strategies - p. Page 319 27. Chapter 17 : SASAKI: Filling the design gap—Urban impressions with AI - p. Page 335 28. Chapter 18 : KPF: A retrospective view on urban planning AI for 2020 - p. Page 362 29. Index - p. Page 380
