AI-Driven Urban Planning
Shaping the Future of Cities
- 1st Edition - June 1, 2026
- Latest edition
- Author: Zhong-Ren Peng
- Language: English
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… Read more
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.
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.
- Provides practical guidance and strategies through case studies, exercises, and projects that encourage readers to integrate AI into their urban planning practices and enhance their professional skills
- Discusses the significance of interdisciplinary collaboration, highlighting how diverse perspectives and expertise can lead to holistic solutions for the complex challenges faced in urban planning
- Analyzes real-world applications of AI in addressing critical urban issues such as sustainability, congestion, and social inequality, illustrating the transformative potential of technology in shaping future cities
- Inspires a new generation of urban planners, researchers, and policymakers by bridging the knowledge gap in Urban Planning AI and empowering them to contribute to sustainable and resilient urban development
Academic researchers in urban planning, urban studies, urban affairs, urban science, urban technology, geography, architecture landscape architecture; Upper undergraduate and graduate students, particularly in courses in Urban Analytics, Urban AI, and Urban Technology; Professional urban planners, urban designers, policymakers and city officials
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
1. Glossary of AI Terms
2. Case Studies
3. Resources for Further Reading
4. Practical Exercises and Projects
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
1. Glossary of AI Terms
2. Case Studies
3. Resources for Further Reading
4. Practical Exercises and Projects
- Edition: 1
- Latest edition
- Published: June 1, 2026
- Language: English
ZP
Zhong-Ren Peng
Dr. Zhong-Ren Peng is a renowned urban planning scholar and Professor of Urban and Regional Planning and Director of iAdapt: International Center for Adaptation Planning and Design at the University of Florida. As an Associate Editor of Journal of Planning Education and Research (JPER), he is also a leading editor for the journal's special issue "Urban Planning AI: Navigating Challenges, Seizing Opportunities." As a prominent expert in urban planning AI, climate change adaptation, and transportation planning, Dr. Peng has made significant contributions to his fields. Dr. Peng's expertise has earned him international recognition, and he is frequently invited to deliver keynote speeches at prestigious conferences. His appointment as a Nonresident Senior Fellow at The Atlantic Council's GeoTech Center is a testament to his contributions, excellence, and influence in the field, underscoring the significant impact and leadership of his pioneering work in the field of urban planning AI and adaptation planning.
Affiliations and expertise
Professor of Urban and Regional Planning and Director of iAdapt: International Center for Adaptation Planning and Design, University of Florida, USA