Report on novel methods for detecting empirical evidence of dynamics & feedbacks of risk drivers
This report provides a comprehensive overview of innovative methods that have been identified to assess multi-hazard risk dynamics. These methods consider the spatial and temporal dynamics in exposure and vulnerability resulting from interactions between multiple hazards and disaster risk reduction measures. The subsequent research supports risk managers in understanding risk dynamics and the effects of disaster risk reduction (DRR) measures, enabling decision-makers to be better prepared for and recover from multi-hazard risk events.
Several methods have been identified, explored, and tested to address the dynamics of risk and DRR measures:
- First, assessing vulnerability can be challenging due to its invisibility and variability. MYRIAD-EU’s research enhances vulnerability assessments by studying time dynamics, impact relations, and vulnerability management.
- Next, extreme climate events, such as heatwaves, vary by definition, complicating sectoral comparisons. We have developed a novel methodology to study climate extremes based on impact duration and intensity using hospitalisation data combined with Google search and news article data.
- Thirdly, multi-hazard recovery differs from single-hazard recovery. We are developing a quantitative methodology using Nighttime light satellite data to compare recovery after single- and multi-hazard events. This is a first step towards quantifying multi-hazard recovery.