Companion Paper Code, in Galveston Testbed: Multi-Hazard Socio-Physical Datasets for Coastal Community Resilience Assessment

Companion dataset to the GitHub code repository for Amini et al. (2025), "Integrated Decision-Support Framework for Enhancing Coastal Community Resilience Against Hurricane-Induced Hazards." This mission hosts the input "data/" and pre-computed "output/" folders that the paper's Jupyter notebooks consume and produce, enabling the full analysis pipeline to be reproduced end-to-end. The input data include the Galveston Island building inventory, multi-hazard rasters (ADCIRC+SWAN wind, surge, wave, and flood fields), transportation and electric power network shapefiles, social vulnerability tables, and fragility/retrofit cost mappings. The output data include Monte-Carlo damage, loss, and dislocation results for buildings, pole damage and power-recovery results, transportation connectivity outputs, optimization results with Pareto-optimal mitigation portfolios, and post-processing analyses (Computable General Equilibrium economic impacts and social equity metrics). Users should clone the GitHub repository, place these two folders at the repository root, install the Python environment, and run the notebooks in the documented order to reproduce or extend the paper's analyses.