Dynamic Property Investment Risk Scoring Framework

Design a comprehensive risk assessment matrix for real estate investments that integrates machine learning predictive modeling, geospatial risk factors, and economic trend analysis. Create a scoring system that weights 12 critical variables including market volatility, neighborhood development potential, climate change vulnerability, infrastructure investment projections, and demographic shift indicators. The framework should produce a 0-100 risk score with granular subscore breakdowns that investors can use for rapid decision-making.