AI for Resilient Cities

Predicting, Protecting, and Thriving in a Changing Climate
Erscheinungsjahr 2026
ISBN: 978-3-032-36416-6
Verlag: Springer

Buch, Englisch, 221 Seiten, Format (B × H): 155 mm x 235 mm

This book explores the transformative role that artificial intelligence (AI) can play in disaster resilience, particularly in the context of rapidly changing climate conditions. This book delves into the advanced AI models and techniques that are reshaping how cities predict, respond to, and recover from natural disasters. It provides a comprehensive view of how AI-driven technologies can enhance disaster management, offering predictive models, real-time monitoring systems, and optimized post-disaster recovery strategies. The scope of this book extends across the full spectrum of disaster management, from preparedness and mitigation to response and recovery, illustrating how AI can be integrated into each phase to reduce risks, improve efficiency, and enhance resilience.

Zielgruppe

Research

Autoren/Hrsg.

Sargiotis, Dimitrios

Fachgebiete

• Geisteswissenschaften Architektur Städtebau, Stadtplanung (Architektur)
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit
• Geisteswissenschaften Architektur Ökologische Aspekte in der Architektur
• Geowissenschaften Umweltwissenschaften Klimawandel, Globale Erwärmung
• Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie
• Sozialwissenschaften Politikwissenschaft Politische Systeme Kommunal-, Regional-, und Landespolitik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

AI for Resilient Cities: Predicting, Protecting, and Thriving in a Changing Climate.- Artificial Intelligence for Predictive Disaster Management and Adaptive Response Systems.- AI-Driven Structural Health Monitoring: Smart Sensors, Predictive Maintenance, and Infrastructure Resilience.- AI-Driven Resilient Urban Design: Adaptive, Ethical, and Sustainable Frameworks for Climate-Ready Cities.- AI-Driven Global Urban Resilience Networks: Intelligent Systems for Disaster Prevention and Climate Adaptation.- AI-Driven Global Collaboration for Resilient and Interconnected Cities.

Über Autor(innen)

Dr. Dimitrios Sargiotis is a Faculty Dr. and Deputy Director of the PC-Laboratories within the Digital Technology Laboratory for Technical Projects at the School of Civil Engineering, National Technical University of Athens. With more than three decades of academic and professional experience, he stands at the intersection of Artificial Intelligence, Computer Science, Data Governance, and Civil Engineering, pioneering the digital transformation of 
infrastructures, cities, and societies. 
He has authored seventeen scholarly books, one hundred thirty-seven book chapters, and over fifty scientific publications, articles, research reports, and other scholarly contributions disseminated through Springer and other prestigious international outlets, establishing himself as one of the leading voices in AI for Smart Cities, Digital Twins, Intelligent Transportation Systems, Green and Sustainable Infrastructure, and Human-Centric AI. His frameworks emphasize ethics, explainability, and governance, aligning technological innovation with public value and societal well-being.
Dr. Sargiotis provides leadership in European Commission–funded research projects, serves as a reviewer and program committee member for international journals and conferences, and collaborates with esteemed organizations, including Springer, the Programming Research Group of Paris, and the Union of Computer Engineers and Communications of Greece.
Beyond academia, he is an advocate of life-long learning, physical well-being, and cultural engagement, embodying a vision where scientific rigor, ethical responsibility, and human creativity converge. His career demonstrates how Artificial Intelligence can act as a catalyst for sustainable development, social justice, and the flourishing of digitally governed societies worldwide.