Replication Package for Multi-Objective Planning for Healthcare Facility Resilience: Mitigate Now or Respond Later?

This replication package accompanies the study “Multi-Objective Planning for Healthcare Facility Resilience: Mitigate Now or Respond Later?” The archive contains the input data and computational outputs underlying the analyses reported in the study, including detailed run-level records and summary results from the Benders-decomposition and Lagrangian-dual methods, as well as the expected value of perfect information and value of the stochastic solution analyses. The study develops a bi-objective, two-stage stochastic optimization framework that jointly determines pre-disaster healthcare facility-hardening investments and scenario-dependent patient evacuation decisions. The framework balances expected economic cost against an expected, location-based, vulnerability-weighted measure of healthcare service-disruption impact. The input data cover 3,752 hospitals and nursing homes in Texas and include facility locations, bed capacities, and occupancy levels; climate-informed flood scenarios derived from 27 tropical cyclones that affected Texas between 1993 and 2018; interfacility patient-evacuation costs; facility hardening and restoration costs; and census-tract social-vulnerability index data used to construct facility-level service-disruption impact weights. The archive also provides detailed and summarized computational results for the alternative scenario sets, investment budgets, and solution methods examined in the study. Source code, execution instructions, and postprocessing and plotting scripts are available in the associated GitHub repository: https://github.com/gizemtt/Multi-Objective-Planning-for-Healthcare-Facility-Resilience Descriptions of the archived files and instructions for using the input data and precomputed results are provided in the included README file.