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Full Description
AI-Driven Urban Planning: Shaping the Future of Cities presents a comprehensive guide to the transformative potential of artificial intelligence in urban planning. This book equips readers with the knowledge to harness data, analytics, and AI for creating sustainable, equitable, and livable urban environments. Exploring diverse applications—from understanding human mobility patterns to enhancing disaster response strategies and optimizing design processes—the book offers practical projects and illustrates how AI is shaping contemporary urban landscapes. By addressing both theoretical and practical dimensions, this resource aims to empower students, professionals, and policymakers with a holistic understanding of Urban Planning AI.
It is organized into five parts, each tackling crucial aspects of Urban Planning AI. It first introduces core concepts, types, mechanisms, and ethical considerations surrounding AI. Part II then discusses the history of computer applications in urban and regional planning. Part III focuses on AI Applications in Urban Planning, addressing critical domains such as transportation, environmental, housing, economic, participatory, and health and safety planning. Part IV tackles challenges and ethical considerations, emphasizing equity, transparency, and data-related issues. Lastly, Part V explores future pathways of urban planning AI, discussing current trends, future visions, and interdisciplinary approaches essential for effective governance and policymaking.
Contents
Part I: Fundamentals of AI
1. Introduction to AI
2. Basic Concepts of AI
3. Types of AI
4. AI Mechanisms and Best Use Scenarios
5. Ethics in AI
Part II: History of Computer Applications in Urban and Regional Planning
6. Early Stages of Urban Modelling
7. Regional Science
8. Geographic Information Systems (GIS)
9. Decision Support Systems (DSS)
10. AI-Enabled Planning
Part III: AI Applications in Urban Planning
11. Transportation Planning
12. Environmental Planning
13. Housing and Land Use Planning
14. Economic Planning
15. Participatory Planning
16. Health and Safety Planning
Part IV: Challenges and Ethical Considerations
17. Equity Issues in AI
18. Transparency and Trust in AI
19. Data Issues in AI
20. Human-AI Collaboration
Part V: Future Pathways of Urban Planning AI
21. Current Trends and Innovations
22. Vision for the Future
23. Policy and Governance
24. Interdisciplinary Approaches Appendices
