A Python toolkit for analyzing high-frequency human mobility data to support urban resilience and disaster risk management. It provides tools to process mobility trajectories, detect behavioral responses to extreme events, and generate spatial and temporal indicators for disaster impact assessment.

Prototype for modeling earthquake-driven building collapse risk and likely road blockages in Istanbul using open data.

B2G Spatial Intelligence Engine: Predicting urban logistics cascading failures using Graph Attention Networks (GAT) & Azure.

City-scale resilience screening for QGIS - 28 Processing tools: seismic, flood, heat, social vulnerability, evacuation, scenarios, reports.

Blue-Green Infrastructure Potential. This repository contains the computational workflow used to estimate, uncertainty analyze, classify, and visualize citywide blue-green infrastructure (BGI) potential across major U.S. cities. It accompanies the manuscript Ranking the aggregate potential for blue-green infrastructure in U.S. cities.

Autonomous Urban Systems – A Theoretical and Architectural Framework

Core geospatial, spatial statistics, MCDA, and urban resilience engines for the PlanX ecosystem.