Modelling Cascading Physical Climate Risk in Supply Chains with Adaptive Firms: A Spatial Agent-Based Framework

📰 ArXiv cs.AI

A spatial agent-based framework models cascading physical climate risk in supply chains with adaptive firms

advanced Published 8 Apr 2026
Action Steps
  1. Integrate geospatial flood hazards with agent-based models of firms and households
  2. Simulate direct asset losses and indirect disruptions through economic networks
  3. Implement firm adaptation through capital hardening and backup-supplier diversification
  4. Analyze simulation results to inform climate risk management strategies
Who Needs to Know This

Data scientists, AI engineers, and researchers on a team can benefit from this framework to simulate and analyze climate risk in supply chains, and product managers can use the insights to inform business decisions

Key Insight

💡 Adaptive firms can mitigate climate risk through capital hardening and backup-supplier diversification

Share This
💡 Model climate risk in supply chains with adaptive firms using spatial agent-based framework
Read full paper → ← Back to Reads