Algorithmic Urbanism for Climate Resilience

Tan Yigitcanlar, a globally recognised Australian researcher and author in urban sustainability, technology, and planning, is ranked among the world’s top 1% of scientists. He is a Professor at Queensland University of Technology’s School of Architecture and Built Environment and Director of the QUT Urban AI Hub in Brisbane, Australia.

• 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

“In Algorithmic Urbanism for Climate Resilience, Tan Yigitcanlar brings together AI, green infrastructure, and policy in ways that speak directly to today’s urban challenges. Drawing on his long-standing leadership in urban technology and sustainability, the book offers clear ideas and practical guidance for planners and policymakers working to create more equitable, heat-ready cities.”Professor Thomas Sanchez, Texas A&M University, USA“This must-read, groundbreaking book integrates artificial intelligence, green infrastructure planning, and policy innovation to tackle the escalating challenge of urban heat. Spanning AI-driven climate mapping, nature-based cooling strategies, and global governance frameworks, it offers evidence-based pathways for building equitable and heat-resilient cities across diverse socio-spatial contexts.”Professor Yuan Lai, Tsinghua University, China“This book provides a timely, integrated framework for urban heat resilience under the new idea of algorithmic urbanism for climate resilience. It synthesises AI-enabled heat mapping, optimisation-enhanced green infrastructure planning, and governance mechanisms that translate analytical insights into policy and practice. Its interdisciplinary approach and practice-oriented case studies enhance both methodological rigor and real-world applicability, supporting targeted, equity-centred interventions across interconnected urban socio-ecological-technological systems.”Professor Steven Jige Quan, Seoul National University, South Korea“Professor Yigitcanlar’s Algorithmic Urbanism for Climate Resilience is a ground-breaking synthesis of AI, green infrastructure, and policy innovation. This book equips planners and researchers with the tools needed to combat urban heat and provides a scalable roadmap for heat-ready cities. This book is an indispensable resource for scholars striving for urban climate resilience.”Professor Yanjie Fu, Arizona State University, USA