Publications

Loos, S., Lallemant, D., Khan, F., McCaughey, J., Banick, R., Budhathoki, N., & Baker, J. (2023). A datadriven approach to rapidly estimate recovery potential to go beyond building damage after disasters. Communications Earth Environment. https://www.nature.com/articles/s43247-023-00699-4

Issa, O., SilvaLopez, R., Baker, J., & Burton, H. (2023). Machinelearningbased optimization framework to support recoverybased design. Earthquake Engineering Structural Dynamics.

Markhvida, M., & Baker, J. (2023). Modeling future economic costs and interdependent industry recovery after earthquakes. Earthquake Spectra. https://doi.org/10.1177/87552930231162385

Bhattacharjee, G., & Baker, J. (2023). Using global variancebased sensitivity analysis to prioritise bridge retrofits in a regional road network subject to seismic hazard. Structure and Infrastructure Engineering. https://doi.org/10.1080/15732479.2021.1931892

SilvaLopez, R., Bhattacharjee, G., Poulos, A., & Baker, J. (2022). Commuter welfarebased probabilistic seismic risk assessment of regional road networks. Reliability Engineering System Safety. https://www.sciencedirect.com/science/article/pii/S0951832022003520

SilvaLopez, R., Baker, J., & Poulos, A. (2022). Deep LearningBased Retrofitting and Seismic Risk Assessment of Road Networks. Journal of Computing in Civil Engineering. https://ascelibrary.org/doi/10.1061/%28ASCE%29CP.1943-5487.0001006

Hulsey, A., Baker, J., & Deierlein, G. (2022). Highresolution postearthquake recovery simulation Impact of safety cordons. Earthquake Spectra. https://doi.org/10.1177/87552930221075364

Wang, C., Costa, R., & Baker, J. (2022). Simulating postdisaster temporary housing needs for displaced households and outoftown contractors. Earthquake Spectra. https://doi.org/10.1177/87552930221112690

SilvaLopez, R., & Baker, J. (2022). Use of corridors to select bridges to retrofit in road networks in seismic regions. Sustainable and Resilient Infrastructure. https://doi.org/10.1080/23789689.2022.2108594

Costa, R., Haukaas, T., & Chang, S. (2021). Agentbased model for postearthquake housing recovery. Earthquake Spectra. https://doi.org/10.1177/8755293020944175

Chen, Y., & Baker, J. (2021). Community detection in spatial correlation graphs Application to nonstationary ground motion modeling. Computers Geosciences. https://www.sciencedirect.com/science/article/pii/S0098300421000832

Cremen, G., & Baker, J. (2021). Variancebased sensitivity analyses and uncertainty quantification for FEMA P58 consequence predictions. Earthquake Engineering Structural Dynamics. https://onlinelibrary.wiley.com/doi/abs/10.1002/eqe.3370

Loos, S., Lallemant, D., Baker, J., McCaughey, J., Yun, S., Budhathoki, N., Khan, F., & Singh, R. (2020). GDIF A geospatial data integration framework to rapidly estimate postearthquake damage. Earthquake Spectra. https://doi.org/10.1177/8755293020926190

Cremen, G., Seville, E., & Baker, J. (2020). Modeling postearthquake business recovery time An analytical framework. International Journal of Disaster Risk Reduction. https://www.sciencedirect.com/science/article/pii/S2212420919312294

Galvis, F., Miranda, E., Heresi, P., Dvalos, H., & RuizGarca, J. (2020). Overview of collapsed buildings in Mexico City after the 19 September 2017 Mw7.1 earthquake. Earthquake Spectra. https://doi.org/10.1177/8755293020936694

Markhvida, M., Walsh, B., Hallegatte, S., & Baker, J. (2020). Quantification of disaster impacts through household wellbeing losses. Nature Sustainability. https://www.nature.com/articles/s41893-020-0508-7

Schultz, R., Beroza, G., Ellsworth, W., & Baker, J. (2020). RiskInformed Recommendations for Managing Hydraulic FracturingInduced Seismicity via Traffic Light Protocols. Bulletin of the Seismological Society of America. https://doi.org/10.1785/0120200016

Teng, G., & Baker, J. (2020). ShortTerm Probabilistic Hazard Assessment in Regions of Induced Seismicity. Bulletin of the Seismological Society of America. https://doi.org/10.1785/0120200081

Wu, J., & Baker, J. (2020). Statistical learning techniques for the estimation of lifeline network performance and retrofit selection. Reliability Engineering System Safety. https://www.sciencedirect.com/science/article/pii/S0951832019306933

Zsarnczay, A., & Baker, J. (2020). Using model error in response history analysis to evaluate component calibration methods. Earthquake Engineering Structural Dynamics. https://onlinelibrary.wiley.com/doi/abs/10.1002/eqe.3234

Cremen, G., & Baker, J. (2019). A Methodology for Evaluating ComponentLevel Loss Predictions of the FEMA P58 Seismic Performance Assessment Procedure. Earthquake Spectra. https://doi.org/10.1193/031618EQS061M

Cremen, G., & Baker, J. (2019). Improving FEMA P58 nonstructural component fragility functions and loss predictions. Bulletin of Earthquake Engineering. https://doi.org/10.1007/s10518-018-00535-7

Markhvida, M., Ceferino, L., & Baker, J. (2018). Modeling spatially correlated spectral accelerations at multiple periods using principal component analysis and geostatistics. Earthquake Engineering Structural Dynamics. https://onlinelibrary.wiley.com/doi/abs/10.1002/eqe.3007

Cremen, G., & Baker, J. (2018). Quantifying the benefits of building instruments to FEMA P58 rapid postearthquake damage and loss predictions. Engineering Structures. https://www.sciencedirect.com/science/article/pii/S0141029618308459

Cremen, G., & Baker, J. (2018). Quantifying the benefits of building instruments to FEMA P58 rapid postearthquake damage and loss predictions. Engineering Structures. https://www.sciencedirect.com/science/article/pii/S0141029618308459

Markhvida, M., & Baker, J. (2018). Unification of Seismic Performance Estimation and Real Estate Investment Analysis to Model PostEarthquake Building Repair Decisions. Earthquake Spectra. https://doi.org/10.1193/030118EQS048M