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Artificial intelligence in urban planning and design technologies, implementation, and impacts /
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Elsevier,
2022.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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