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Breaking the Wall of Urban Resilience Barriers: AI-Powered Policy Innovation

Cities worldwide face growing threats from climate change, socioeconomic shifts, and political instability. Yet, their resilience plans remain fragmented across formats, languages, and regions—making it nearly impossible to compare strategies or adopt proven solutions.

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Introducing the Resilient City Knowledge Graph (RCKG)

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Our AI-driven platform transforms this chaos into clarity. By integrating Large Language Models (LLMs) and a dynamic knowledge graph, RCKG automates the analysis of multi-modal urban resilience data—from policy documents to environmental reports. It uncovers hidden patterns, identifies global-local synergies, and recommends actionable strategies tailored to each city’s unique challenges.

Why It Matters

  • 96% Faster Policy Analysis: Extracted 1,635 heat adaptation policies from 370,000+ characters of urban planning texts, slashing manual review time by 96%.
  • Global Insights, Local Action: Revealed how Chicago, New York, and London align low-carbon goals, enabling cross-city learning.
  • Science-Backed: Presented at ACSP 2024 and under review in Environment and Planning B: Urban Analytics and City Science (IF=3.1).

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Join the Resilience Revolution

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Cities no longer need to reinvent the wheel. With RCKG, policymakers gain a unified framework to benchmark progress, replicate successes, and build future-proof communities.

Let’s break the wall of data silos and build cities that thrive amid uncertainty.

🔗 Learn more about our research or collaborate with us via About Zeyun DENG.

This post is licensed under CC BY 4.0 by the author.