An Agent-Based Financing Model for Post-Earthquake Housing Recovery

This repository contains the code developed for the paper:

Alisjahbana, I., Moura-Cook, A., Costa, R., Kiremidjian, A., In Review, An Agent-based Financing Model for Post-Earthquake Housing Recovery: Quantifying Recovery Inequalities Across Income Groups",

Please cite the paper if you use any data or analyses from this study. Pre-print version of the paper is available here.

Running Code

1. Change parameters in configs/basecase.py
   • A sample input file is available in data/building_damage_owner.csv
2. Open sanjose_model.py and change line 12 according to the name from step 1. Example: if the name is: basecase.py, then line 12 becomes: from configs.basecase import *
3. Create a results folder
4. Run the code: python sanjose_model.py
5. Results will be saved as .csv according to the name defined in configs/basecase.py in the results folder

Visualizing Results

• visualization_utils.py: Functions for visualizing results
• Visualize Results.ipynb: Jupyter Notebook for visualizing