London Surface Water Flood Risk and Insurance Agent-Based Model

An Agent-Based Model (ABM) assesses surface water flood risk and management strategies under future climate change. The model, authored by Katie Jenkins of the University of Oxford, explores the interplay between adaptation options, homeowner and government actions, and flood insurance. It is applied to a London case study to evaluate risk reduction and the role of the Flood Re insurance pool.

Use Cases

• Simulate flood risk reduction strategies based on property-level protection measures and sustainable urban drainage systems.
• Model the impact of climate change and urban development on future surface water flood damages.
• Analyze the function and financial pressure on flood insurance schemes like Flood Re.
• Evaluate housing market effects under different flood risk management and insurance scenarios.

Strengths

• Model is novel in its coverage of different combinations of flood risk management options, insurance, and Flood Re.
• Model dynamically simulates changing behavior, decision making, and flood events.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and data size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Oxford

Collection Method

Agent-Based Modeling simulation

Geography

London, UK