Climate Change, Risk Perception, Early Warning, and Responses Policy Management

Research Focus

This research direction primarily focuses on developing an intelligent digital twin risk management platform for mega-city clusters. This initiative also aims to develop rapid risk analysis methods and emergency decision-making systems for urban clusters. By effectively managing and mitigating various risks—including natural and anthropogenic hazards and their secondary consequences—the platform will drive the transition of national disaster emergency management toward greater intelligence and proactivity.

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Key Issues and Challenges Addressed

  1. Extracting disaster information from multi-source and multi-scale data, predicting disaster progression, and identifying affected targets remains as a challenge in complex urban cluster systems. An intelligent emergency decision-making system covering the full disaster lifecycle (pre-, during, and post-disaster) must be established to break through traditional passive response models.
  2. There is an urgent need to develop a climate change policy evaluation and urban risk management framework tailored to China’s national conditions and unique characteristics.
  3. Developing a cross-departmental and cross-regional risk coordination management mechanism that integrates digital twin technology and intelligent platforms. This will support the identification of functional risks in infrastructure and the disruption of compound disaster chains, enabling dynamic optimization of urban system resilience.
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DIRECTION LEAD

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Prof. Limin ZHANG
Head and Chair Professor

The Hong Kong University of Science and Technology
Department of Civil and Environmental Engineering