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Sustainable and Smart Cities: Ecological Design, Technological Innovation, and Climate Resilience
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Sustainable and Smart Cities: Ecological Design, Technological Innovation, and Climate Resilience : A Collection of Selected Papers From the Proceedings of Future Smart Cities (FSC-2024)— Morocco and Urban Regeneration and Sustainability (URS-2024)— Italy

Book Details

Format Hardback or Cased Book
ISBN-10 3032005442
ISBN-13 9783032005441
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Mar 4th, 2026
Print length 265 Pages
Ksh 45,000.00
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This book explores adaptive strategies that integrate Anthropogenic principles into architectural and urban design, particularly in low-income contexts like East Africa.
This book explores adaptive strategies that integrate Anthropogenic principles into architectural and urban design, particularly in low-income contexts like East Africa. It examines urban revitalization through case studies, such as Benghazi’s smart indicators, the use of public spaces for climate resilience, and transformative projects like reclaiming Lebanese quarries and understanding micro-segregation in Thessaloniki. Moreover, it emphasizes the role of eco-communities, post-pandemic urban design, and advanced spatial tools like BIM technology and robotic assembly. It also explores the potential of blockchain and 6G networks in advancing urban planning. This book also investigates AI-driven solutions for traffic management, accident prediction, and energy-efficient automated vehicle systems. It also envisions integrating autonomous aerial vehicles into smart city frameworks and explores collaborative platforms for research innovation. Last but not least, this book focuses on distributed energy systems, the electrification of transport, and innovative governance models like the Urban Climate Transition Governance Prism. It concludes with advanced techniques for environmental monitoring, such as cropland mapping using time-series data.

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