Artificial intelligence in urban planning and design : technologies, implementation, and impacts /
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 i...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
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Amsterdam :
Elsevier,
[2022]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Intro
- Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts
- Copyright
- Contents
- Contributors
- Preface
- Content
- Acknowledgments
- Part 1: Theoretical foundations
- Chapter 1: A new agenda for AI-based urban design and planning
- Embracing AI to recalibrate the master plan
- The future of work: AI and the disruption of planning and urban design practice
- Perpetually unfinished business
- Unpacking artificial intelligence for planners and urban designers
- Fundamental AI components for disrupting planning and urban design practice
- AI components deemed to be very useful
- AI components deemed to be potentially useful
- AI components deemed to be currently least relevant
- AI enhancing traditional planning and urban design services workflow
- AI-assisted citizen jury sandpit
- AI and the challenges to expertise
- Acknowledgment
- References
- Chapter 2: AI and the limits of human creativity in urban planning and design
- Introduction
- AlphaGo v Lee Sedol
- The Sputnik moment
- Architectural lessons
- Xkool
- Spacemaker AI
- The limits of human creativity
- Learning from Move 37
- Rethinking creativity
- References
- Chapter 3: Complexity science for urban solutions
- Introduction
- Artificial intelligence (AI) in the built environment
- Complexity science and urban systems
- Key aspects of spatial network analysis
- Scale of spatial networks
- Common types of spatial networks
- Directional and weighting
- Adjacency, accessibility, and visibility
- Dual representation
- Analysis of spatial networks
- Measurements of the importance of spatial nodes
- Measurements of the criticalness of links
- Detection of community structure
- Computational social science and its AI applications
- Summary
- Acknowledgments
- References
- Part 2: AI tools and techniques
- Chapter 4: Classes of AI tools, techniques, and methods
- Introduction
- A working definition of AI in urban planning and design
- Tools: Algorithmic clades in urban planning and design
- Evolutionary algorithms
- Deep learning
- Generative grammars
- Agent-based modeling
- Techniques: A machines-eye view of the city
- Simple reflex agents
- Model-based reflex agents
- Goal-based agents
- Utility-based agents
- Learning agents
- Methods: A snapshot from the practitioner's desktop
- Emergent
- Integrating
- Generative
- Augmenting
- A fuzzy landscape
- Conclusions
- Acknowledgments
- References
- Chapter 5: Urban form analysis through morphometry and machine learning
- Urban form-A basic definition
- Urban morphometry
- Context-rich urban analysis and generation using machine learning
- Constructing a custom form dataset
- Identification of urban types
- Evaluation of inductively defined urban types
- Urban morphometry with advanced statistics
- References