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.
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.
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.
Inhaltsangabe
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
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
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