1 Theoretical foundation: --
1. A new agenda for AI-based urban design and planning Mark Burry --
Embracing AI to recalibrate the master plan 3 --
The future of work: AI and the disruption of planning and urban design practice 4 --
Unpacking artificial intelligence for planners and urban designers 5 --
Fundamental AI components for disrupting planning and urban design practice 6 --
AI enhancing traditional planning and urban design services workflow 15 --
AI and the challenges to expertise 18 --
Acknowledgment 19 --
References 19 --
2. AI and the limits of human creativity in urban planning and design Neil Leach --
Introduction 21 --
Architectural lessons 25 --
The limits of human creativity 32 --
References 36 --
3. Complexity science for urban solutions Anjanaa Devi Sinthalapadi Srikanth, Benny Chin Wei Chien, Roland Bouffanais, and Thomas Schroepfer --
Introduction 39 --
Artificial intelligence (AI) in the built environment 40 --
Complexity science and urban systems 42 --
Key aspects of spatial network analysis 43 --
Computational social science and its AI applications 52 --
Summary 55 --
Acknowledgments 55 --
References 55 --
2. Al tools and techniques: --
4. Classes of AI tools, techniques, and methods Geoff Kimm --
Introduction 61 --
A working definition of Al in urban planning and design 62 --
Tools: Algorithmic clades in urban planning and design 64 --
Techniques: A machine's-eye view of the city 66 --
Methods: A snapshot from the practitioner's desktop 71 --
Conclusions 80 --
Acknowledgments 81 --
References 81 --
5. Urban form analysis through morphometry and machine learning --
Jinmo Reec --
Urban form —A basic definition 86 --
Urban morphometry 88 --
Context-rich urban analysis and generation using machine learning 89 --
Urban morphometry with advanced statistics 96 --
References 99 --
6. AI-driven BIM on the cloud --
Wanyu He, Jackie Yong Leong Shong, and Chuyu --
Introduction 101 --
Background 101 --
AI-driven building information model on the cloud 105 --
Case studies 109 --
Conclusions 116 --
References 116 --
3 AI in urban scale research --
7. Deep learning in urban analysis for health --
David William Newton --
Introduction 121 --
Urban morphology and health 123 --
Deep learning in urban analysis for health 123 --
Applications of discriminative deep learning in urban health analysis 124 --
Applications of generative deep learning for urban health analysis 131 --
Challenges, opportunities, and next steps 135 --
References 137 --
8. Spatial design of energy self-sufficient communities --
Mina Rahimian, Lisa lulo, and Jose Pinto Duarte --
Cities and energy resiliency 139 --
Designing for energy self-sufficient urban settlements 141 --
Urban form and energy consumption in communities 143 --
Interpreting the black box 153 --
Closure 158 --
Acknowledgements 160 --
References 160 --
Further reading 162 --
9 The image of the city through the eye of machine reasoning --
Introduction 181 --
Materials and methods 183 --
Case study 168 --
Acknowledgment 178 --
References 178 --
10. Optimizing urban grid layouts using proximity metrics --
Introduction 181 --
Materials and methods 183 --
Case study 187 --
Results 191 --
Discussion 198 --
Acknowledgments 199 --
References 199 --
4 Case studies in urban design and planning --
11. Image analytics for urban planning: --
The case of the Barcelona Superblock --
Aldo Sollazzo --
The urgency for a new urbanism 203 --
Novel methods for image analytics 207 --
Conclusions 213 --
Acknowledgment 214 --
References 214 --
12. Complexity science-based spatial performance analyses of UNStudio / DP Architects' SUTD Campus and WOHA's Kampung Admiralty --
Anjanaa Devi Sinthalapadi Srikanth, Benny Chin Wei Chin, Roland Bouffanais, and Thomas Schroepfer --
Introduction 217 --
Analyses of two vertically integrated spatial networks 218 --
Methodology and research phases 219 --
Conclusions 242 --
Acknowledgment 243 --
References 243 --
13. Understanding urban leisure walking behavior: --
Correlations between neighborhood features and fitness tracking data --
Ozgun Balaban --
Introduction 245 --
Leisure walks 247 --
Methodology and data 248 --
Results 252 --
Destinations 255 --
Conclusion and future work 258 --
References 260 --
14. Spacemaker. Ai: --
Using AI in developing urban block variations Jeffrey Landes --
Generative design 263 --
Tools at Spacemaker 266 --
Case study 269 --
Conclusion 286 --
Demonstration 302 --
Discussion 315 --
Conclusions 318 --
Acknowledgment 319 --
References 319 --
15. Mobius evolver: --
Competitive exploration of urban massing strategies --
Patrick Janssen, Tung Do Phuong Bui, and Likai Wang --
Introduction 293 --
Competitive evolutionary design exploration 295 --
16. Adaptive master plans: --
Flexible modular design strategies Martin Bielik, Reinhard Koenig, and Sven Schneider --
Introduction 323 --
Background 324 --
Methods 324 --
Applications 330 --
Conclusions 335 --
Notes 335 --
References 336 --
17. SASAKI: --
Filling the design gap—Urban impressions with AI –
Thiyagarajan Adi Raman, Justin Kollar, and Scott Penman --
Introduction 339 --
Background 341 --
Identifying a "good enough" tool 342 --
Using GANs to generate urban impressions 345 --
Key takeaways 353 --
Toward a sketch tool prototype 359 --
Conclusions 361 --
References 362 --
18. KPF: --
A retrospective view planning AI for 2020 --
Snoweria Zhang, Kate Ringo, Richard Chou, Brandon Pachuca, Eric Pietraszkiewicz, and Luc Wilson --
Preamble 363 --
Crises and inventions 364 --
Evolution of tools 365 --
Conclusions 379 --
References 380 --
Index 381 --

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.