Smart Cities with AI

1. Auflage 2027
ISBN: 978-1-041-10061-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 288 Seiten, Format (B × H): 178 mm x 254 mm

Smart Cities with AI examines how the value of artificial intelligence in cities is determined by who deploys it, under what governance, and with what regard for consequences beyond the immediate problem it addresses. It treats the smart city as an ongoing project that succeeds or fails on the institutions and communities AI serves, not on the technology alone.

Across fifteen chapters by specialists in planning, engineering, public health, computer science, and law, the volume moves from foundations – AI as a family of methods, and the city as a complex system – through applications in mobility, housing, urban design, public health, healthcare, infrastructure, disaster resilience, and education, to the ethical, privacy, and accessibility questions that decide whether these systems serve cities fairly. A consistent analytical thread runs throughout: a focus on second-order consequences, tracing how an intervention optimized for one goal ripples into domains it never named, and on recurring tensions such as efficiency versus equity, automation versus oversight, and data utility versus privacy. Concrete cases, including computer vision for neighborhood health and AI-driven flood response, ground each argument in practice.

Written for researchers, graduate students, and practitioners in urban planning, urban informatics, public policy, and allied fields, the book offers both an accessible entry point to urban AI and a critical, cross-sector framework for those who design, govern, and study it.

Zielgruppe

Academic and Professional Practice & Development

Autoren/Hrsg.

Jiao, Junfeng

Seong, Kijin

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Spezielle Soziologie Stadt- und Regionalsoziologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geisteswissenschaften Architektur Städtebau, Stadtplanung (Architektur)

Inhaltsverzeichnis

Introduction 1. Artificial Intelligence in Urban Contexts  Part 1: Understanding AI and its Role in Urban Development  2. The Fundamentals of AI Technology 3. Intelligence in Complexity: The Role of AI and Big Data in Urban Systems Part 2: Applications of AI across Urban Sectors 4. AI in Mobility: Applications of AI across Urban Sectors 5. The Quadruple Helix of AI in Housing: Stakeholders, Themes, Contexts, and Technologies 6. Designing Sensitive Cities: How AI Measures, Shapes, and Governs Urban Vitality  7. Computer Vision for Neighborhood Health: Characterizing Built Environments with AI 8. Healthcare in the Smart City: AI-Driven Coordination for Hospital-at-Home, Resource Allocation, and Equitable Access 9. AI in Urban Infrastructure and Utilities 10. AI-Powered Urban Disaster Resilience: A Cycle-Based Framework for Climate-Driven Events 11. AI-Enhanced Urban Education and Community Services Part 3: Ethical Considerations and Challenges 12. Ethical Implications of AI-Based Urban Management 13. Addressing Data Privacy and Security in AI Smart Cities 14. Nothing about AI without Us: Embedding Accessibility Standards into Urban AI through Disability Rights and Participatory Design  Conclusion  15. Realizing the Potential of AI in Cities

Über Autor(innen)

Junfeng Jiao is an Associate Professor in The School of Architecture at The University of Texas at Austin. His research focuses on urban informatics, smart city, and shared mobility. He has used different urban technologies to quantify cities and understand their impacts on people’s behaviors.

Kijin Seong is an Assistant Professor in the Division of Planning, Landscape Architecture, and Design at the University of Oklahoma. Her research examines geospatial data and AI applications to address climate hazards, environmental inequity, and adaptation planning, focusing on spatial dimensions of built environment, public health, and climate resilience.