Using Computational Simulations of Urban Post-Earthquake Community Recovery to Inform Pre-Disaster Planning

Graduate Researchers: Rodrigo Costa, Adam Zsarnoczay, Irene Alisjahbana, Chenbo Wang, Ana Moura-Cook, Emily Mongold, Jimmy Zhang

Faculty Advisors: Jack Backer, Greg Deierlein, Anne Kiremidjian

This project will develop a new generation of high-resolution computational simulation tools for disaster recovery simulation, to support enhanced and more equitable housing recovery. High-resolution simulations of the built, natural, and human environment (including household and company behavior) will be combined with mechanisms to quantify the benefits of resilience-enhancing policies. This will enable a holistic understanding of the community recovery process after earthquakes. The research will advance our capabilities to assess, before a disaster, the extent to which disaster preparedness interventions can reduce initial disaster consequences, speed recovery, and ensure that all groups participate in the benefits.

Agent-based model for post-disaster housing recovery

Workflow of integrated regional risk assessment and recovery simulations

Project Sponsor

National Science Foundation

Publications

Wang, C., Costa, R., Baker, J. (2022, in press). Simulating Post-earthquake Temporary Housing Needs for Displaced Households and Out-of-town Contractors Earthquake Spectra. DOI., Costa, R., Wang, C., Baker, J. (2022). Integrating Place Attachment into Housing Recovery Simulations to Assess Population Loss. Natural Hazards Review, v. 23(4). // Alisjahbana, I., Moura-Cook, A., Costa, R., Kiremidjian, A. S. (2022). An Agent-based Financing Model for Post-Earthquake Housing Recovery: Quantifying Inequitable Recovery Across Income Groups. Earthquake Spectra, 38(2):1254-1282. // 1. Costa, R., Wang, C., Baker, J. W. (2021). Logistic Models Linking Household Recovery Capacity to Demographic Characteristics. Proceedings of the 13th International Conference on Structural Safety and Reliability, June 21-25, 2022, Tongji University, Shanghai, China. // 4. Mongold, E., Costa, R., Zsarnóczay, A., and Baker, J. W. (2021). Accounting for Landlord-Tenant Dynamics in Housing Recovery Simulations. Proceedings of the 12th National Conference on Earthquake Engineering, Salt Lake City, Utah, USA. // 5. Zhang, J., Costa, R., Zsarnóczay, A., and Baker, J. W. (2021). Enhancing Post-Disaster Recovery Modeling through High-Fidelity Household Income Estimation. Proceedings of the 12th National Conference on Earthquake Engineering, Salt Lake City, Utah, USA.