Artificial Intelligence for Urban Planning

This book introduces planners to AI, outlining essential concepts, terminologies, and methodologies. It shows how planners can effectively use AI in their daily practices, engage constructively with technical specialists, and critically assess the appropriateness of these technologies in different planning contexts.

List of contents

Preface and Acknowledgements
1. Introduction
2. Machine Learning for Urban Planners
3. Neural Networks for Urban Planners
4. Natural Language Processing for Urban Planners
5. Computer Vision for Urban Planners
6. Generative AI for Urban Planners
7. Challenges to Adopting AI in Urban Planning
8. Moving towards the integration of AI in Urban Planning
Glossary

About the author

Thomas W. Sanchez, PhD, AICP, is a Professor in the Department of Landscape Architecture and Urban Planning at Texas A&M University. He earned his PhD in City Planning from Georgia Tech and a Master of City and Regional Planning from Cal Poly, San Luis Obispo. His research and teaching focus on cities, planning methods, transportation, and technology. His most recent books include Networks in the Knowledge Economy (with Denise Bedford) and Planning Knowledge and Research. Sanchez serves as the American Planning Association (APA) Education Committee Chair and as a member of APA's Artificial Intelligence (AI) Foresight Community.

Product details

• Authors: Thomas W. Sanchez, Sanchez Thomas W.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 15.10.2025
• EAN: 9781032760476
• ISBN: 978-1-0-3276047-6
• No. of pages: 260
• Subjects: Social sciences, law, business > Sociology > Sociological theories; Artificial Intelligence, ARCHITECTURE / Landscape, ARCHITECTURE / Urban & Land Use Planning, COMPUTERS / Computer Literacy, SOCIAL SCIENCE / Sociology / Urban, Urban & municipal planning, Public Administration, Interdisciplinary studies, Civil engineering, surveying & building, Human Geography, Urban communities, Urban and municipal planning and policy, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Machine Learning, Civil engineering, surveying and building, Urban communities / city life, Public administration / Public policy