Algorithmic Urbanism for Climate Resilience

AI, Green Infrastructure, and Policy Innovation for Heat-Ready Cities
1. Auflage 2026
ISBN: 978-1-041-23428-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 410 Seiten, Format (B × H): 156 mm x 234 mm

This book offers a comprehensive exploration of how artificial intelligence (AI), ecological design, and governance reforms can be leveraged to tackle climate-induced urban heat.

The book is structured around three key themes: AI for climate adaptation, green infrastructure and design innovation, and policy and planning perspectives. It delves into how intelligent technologies like remote sensing, real-time monitoring, and machine learning are revolutionising the assessment and management of urban microclimate risks. Specific applications include enhancing urban resilience through hyperlocal weather alert systems and analysing the influence of vegetation and building distribution on urban heat for better mitigation. The book further examines how nature-based interventions, such as AI-optimised vegetation strategies and cooling infrastructure, can create thermally comfortable and ecologically robust urban environments. It highlights the growing intersection of AI and green infrastructure in climate adaptation and urban sustainability. Beyond technology and design, the author focuses on governance and policy frameworks, exploring how institutional arrangements and planning paradigms can translate digital and design solutions into equitable and effective climate action. It investigates how climate action is reflected in local urban planning, drawing insights from cities committed to global climate agreements. By integrating computational tools, bioclimatic design, and multilevel governance, the book provides a holistic framework for addressing urban heat challenges.

It is an essential resource for urban planners, climate researchers, and policymakers seeking forward-looking, inclusive, and technologically informed strategies for building heat-ready cities in a warming world.

Zielgruppe

Professional Practice & Development, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Yigitcanlar, Tan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Geowissenschaften Umweltwissenschaften Klimawandel, Globale Erwärmung

Inhaltsverzeichnis

Part I: Artificial Intelligence for Urban Climate Adaptation. 1. Integrating Machine Learning for Urban Sustainability. 2. Urban AI Applications in Heat Mapping. 3. Microclimate Risk Monitoring through Real-Time Platforms. 4. Integrated Planning for Climate-Resilient Cities. Part II: Green Infrastructure and Design Innovation. 5. Vegetation Strategies for Urban Heat Mitigation. 6. Tree Placement for Cooling Microclimates. 7. AI-Driven Green Infrastructure Optimisation. Part III: Policy, Planning, and Global Perspectives. 8. Urban Climate Policy in the Global South. 9. Transit-Oriented Development and Urban Heat. 10. Policy and Technology Responses to Urban Heat.

Über Autor(innen)

Tan Yigitcanlar is a leading Australian scholar recognised internationally for contributions to urban studies, sustainability, technology, and planning. He is a Professor at Queensland University of Technology in Australia and serves as a Distinguished Visiting Professor at the University of Johannesburg in South Africa.