Tag: Socio-Economic Status

Application of Principal Component Analysis as an Unsupervised Machine Learning to Model Socio-Economic Status of a Community under Natural Disaster

Data Analytics and Information Sciences, Environmental Engineering and Services, Ergonomics & Human Factors, Goal 10: Reduce inequality within and among countries, Goal 11: Make cities inclusive, safe, resilient and sustainable, Goal 12: Ensure sustainable consumption and production patterns, Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation, Government, Non-Profit/Non-Governmental Organizations, Operations Engineering & Management, System Design & Engineering

CRISys is a data-driven framework that measures community resilience during disasters using census data and machine learning. It shows how socio-economic factors shape recovery in Jefferson County, TX. Community resilience is defined as an ability

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