Data for: From BIM evidence to Pareto decisions: An evidence-traceable BIM-enabled framework for feasible multi-stage construction-site layout optimization
Description
Data for: From BIM evidence to Pareto decisions: An evidence-traceable BIM-enabled framework for feasible multi-stage construction-site layout optimization
Files
Steps to reproduce
Extract AIC_Data_Code_Package_v1.zip, retain the original directory structure, and install the dependencies using python -m pip install -r requirements.txt. Run python experiment/run_all.py from the package root to reproduce the three-stage optimization, ablation, sensitivity analysis, independent algorithm benchmark, evaluation-budget diagnostic and quantitative figures. Outputs are written to experiment/three_stage_results/, experiment/top_revision_results/ and TOP_Supplementary/budget_diagnostics/. All random seeds are fixed in the scripts and reported in the CSV files. The workflow was verified under Windows 10 and Python 3.14.4. The package reproduces the reconstructed computational study, but not proprietary Revit extraction, BIM write-back, field measurements or real-time digital-twin operation.
Institutions
- China Construction Eighth Engineering Division (China)Shanghai, Pudong