Building portfolio fragility functions to support scalable community resilience assessment

References

• Adachi, T., & Ellingwood, B. R. (2008). Serviceability of earthquake-damaged water systems: Effects of electrical power availability and power backup systems on system vulnerability. Reliability Engineering & System Safety, 93, 78–88.10.1016/j.ress.2006.10.014
   Web of Science ®Google Scholar
• ASCE (American Society of Civil Engineers). (2010). Minimum design loads for buildings and other structures (Vol. 7–10). Author.
   Google Scholar
• Baker, J. W., & Cornell, C. A. (2008). Uncertainty propagation in probabilistic seismic loss estimation. Structural Safety, 30, 236–252.10.1016/j.strusafe.2006.11.003
   Web of Science ®Google Scholar
• Bonstrom, H., & Corotis, R. B. (2015). Building portfolio seismic loss assessment using the first-order reliability method. Structural Safety, 52, 113–120.10.1016/j.strusafe.2014.09.005
   Web of Science ®Google Scholar
• Bruneau, M., Chang, S., Eguchi, R., Lee, G., O’Rourke, T., Reinhorn, A. M., Shinozuka, M., Tierney, K., Wallace, W., & Winterfelt, D. V. (2003). A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra, 19, 733–752.10.1193/1.1623497
   Web of Science ®Google Scholar
• Campbell, K. W. (2003). Prediction of strong ground motion using the hybrid empirical method and its use in the development of ground-motion (attenuation) relations in eastern north america. Bulletin of the Seismological Society of America, 93, 1012–1033.10.1785/0120020002
   Web of Science ®Google Scholar
• Cornell, C. A., & Krawinkler, H. (2000). Progress and challenges in seismic performance assessment. PEER Center News, 3(2), 1–3.
   Google Scholar
• Council, B. S. S. (1997). NEHRP guidelines for the seismic rehabilitation of buildings ( FEMA-273). Washington, DC: Federal Emergency Management Agency.
   Google Scholar
• Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., & Webb, J. (2008). A place-based model for understanding community resilience to natural disasters. Global Environmental Change, 18, 598–606.10.1016/j.gloenvcha.2008.07.013
   Web of Science ®Google Scholar
• Ellingwood, B. R., Cutler, H., Gardoni, P., Peacock, W., Van De Lindt, J. W., & Wang, N. (2016). The Centerville virtual community: A fully integrated decision model of interacting, physical and social infrastructure systems. Sustainable and Resilient Infrastructure. In review.
   Google Scholar
• FEMA. (2012). Next-generation methodology for seismic performance assessment of buildings, Volume 1—Methodology. Chapter 7. Applied Technology Council for the Federal Emergency Management Agency ( Report No. FEMA P-58-1). Washington, DC.
   Google Scholar
• FEMA, NIBS. (2003). Multi-hazard loss estimation methodology earthquake model (HAZUS-MH MR4): Technical manual. Washington, DC: Federal Emergency Management Agency.
   Google Scholar
• Girard, C., & Peacock, W. G. (1997). Ethnicity and segregation: Post-hurricane relocation. In Hurricane Andrew: Ethnicity, gender and the sociology of disasters (pp. 191–205).
   Google Scholar
• Goda, K., & Hong, H. P. (2008). Estimation of seismic loss for spatially distributed buildings. Earthquake Spectra, 24, 889–910.10.1193/1.2983654
   Web of Science ®Google Scholar
• Jayaram, N., & Baker, J. W. (2009). Correlation model for spatially distributed ground-motion intensities. Earthquake Engineering & Structural Dynamics, 38, 1687–1708.
   Web of Science ®Google Scholar
• Lee, R., & Kiremidjian, A. S. (2007). Uncertainty and correlation for loss assessment of spatially distributed systems. Earthquake Spectra, 23, 753–770.10.1193/1.2791001
   Web of Science ®Google Scholar
• Lin, P., Wang, N., & Ellingwood, B. R. (2016). A risk de-aggregation framework that relates community resilience goals to building performance objectives. Sustainable and Resilient Infrastructure, 1, 1–13.
   Google Scholar
• Lin, Y. (2009). Development of algorithms to estimate post-disaster population dislocation: A research-based approach ( Ph.D. thesis), Texas A & M University, College Station, TX.
   Google Scholar
• Mieler, M., Stojadinovic, B., Budnitz, R., & Mahin, S. (2015). A framework for linking community resilience goals to specific performance targets for the built environment. Earthquake Spectra, 31, 1267–1283.
   Web of Science ®Google Scholar
• Miller, M., Baker, J., Lim, H. W., Song, J., & Jayaram, N. (2011). A FORM-based analysis of lifeline networks using a multivariate seismic intensity model. 11th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP), Zurich, Switzerland.
   Google Scholar
• NIST. (2015). Community resilience planning guide for buildings and infrastructure systems ( Vols. 1 and 2). Washington, DC: National Institute of Standards and Technology.
   Google Scholar
• Oregon Seismic Safety Policy Advisory Commission (OSSPAC). (2013). The Oregon resilience plan: Reducing risk and improving recovery for the next cascadia earthquake and tsunami. Report to the 77th Legistlative Assembly, Salem, OR.
   Google Scholar
• Peacock, W., Lin, Y., Lu, J., & Zhang, Y. (2008). Household Dislocation Algorithm 2: An OLS through the Origin Approach. Hazard Reduction and Recovery Center. Texas A&M University. HRRC Reports: 08-04R.
   Google Scholar
• Poland, C. D. (2013). SPUR resilient city goals. Roundtable on Standards for Disaster Resilience for Buildings and Infrastructure Systems, September 26, 2011.
   Google Scholar
• Steelman, J., Song, J., & Hajjar, J. (2007). Integrated data flow and risk aggregation for consequence-based risk management of seismic regional loss. Report of the Mid-America Earthquake Center, University of Illinois at Urbana-Champaign, Urbana.
   Google Scholar
• Vitoontus, S., Ellingwood, B. R. (2013). Role of correlation in seismic demand and building damage in estimating losses under scenario earthquakes. Proceedings of International Conference on Structure Safety and Reliability (ICOSSAR 2013), New York, NY, Taylor & Francis, A.A. Balkema, The Netherlands.
   Google Scholar
• Wang, M., & Takada, T. (2005). Macrospatial correlation model of seismic ground motions. Earthquake Spectra, 21, 1137–1156.10.1193/1.2083887
   Web of Science ®Google Scholar
• Wang, N., & Ellingwood, B. R. (2015). De-aggregating community resilience objectives to achieve building performance goals. Proceedings, The 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP12, Vancouver, Canada, July 12–15, 2015.
   Google Scholar