Data-Empowered Urban Climate Action Digital solutions for urban planning in a changing climate

This session demonstrates how scalable data-driven and digital solutions can bridge the critical data gap in the Global South to build climate-resilient cities and communities. By integrating diverse datasets, including digital household surveys, satellite imagery, climate data and open-source data, this event (using poster presentations) shows various digital solutions and methods with immediate, actionable insights for climate-sensitive urban development. • Mapping Residential Vulnerability (University of Stuttgart): Presenting comparative research from cities like Bacolod (The Philippines), Panaji (India), and Chiang Mai (Thailand). We examine how hazard profiles (floods and heat) intersect with household characteristics in underserved settlements to identify at-risk housing clusters in order to prioritze evidence based solutions. • Integrated Urban Climate Services and Database (Thai Meteorological Department / TMD): Municipalities and urban planners often lack appropriate climate data to assess climate risks and plan measures. The TMD, with the support of the World Meteorological Organisation (WMO), co-developed climate information with selected cities in Thailand, which is the foundation of a climate database for urban planners in Thailand with a focus on flood and heat risks. • Co-Creating Climate-Resilient Cities through Data-Driven Decisions: The study, using the case of India, will focus on how participation, digitalisation and institutional processes come together to enable transformative climate action. • Open Data for Resilient Planning (University of Stuttgart): Introducing a standardized modeling framework that utilizes global datasets like OpenStreetMap to generate transport models for any city worldwide. This enables planners to identify the accessibility of functional urban centers and evaluate the resilience of transport networks that connect housing to essential services. • AI Empowerment for Low-Carbon Transportation (Tongji University): AI can empower transport planning to make it more inclusive, efficient and climate-sensitive. Based on pilots in Xiamen City (China) and Jakarta (Indonesia), the tool “GenAI for low-carbon urban mobility planning” was developed.