REFERENCES
1. Muir A, Lopatto J. Final report on the August 14, 2003 blackout in the United States and Canada: causes and recommendations. 2004. Available from: https://www.energy.gov/sites/default/files/oeprod/DocumentsandMedia/BlackoutFinal-Web.pdf [Last accessed on 20 June 2023].
2. Kameshwar S, Cox DT, Barbosa AR, et al. Probabilistic decision-support framework for community resilience: incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network. Reliab Eng Syst Saf 2019;191:106568.
3. Mcdaniels T, Chang S, Cole D, Mikawoz J, Longstaff H. Fostering resilience to extreme events within infrastructure systems: characterizing decision contexts for mitigation and adaptation. Glob Environ Chang 2008;18:310-8.
4. Hassan EM, Mahmoud H, Ellingwood B. The role of social institutions in community resilience following extreme natural hazard events. Dis Prev Res 2023;2:2.
5. Bruneau M, Chang SE, Eguchi RT, et al. A framework to quantitatively assess and enhance the seismic resilience of communities. Earthq Spectra 2003;19:733-52.
6. Ouyang M, Dueñas-osorio L, Min X. A three-stage resilience analysis framework for urban infrastructure systems. Struct Saf 2012;36-7:23-31.
7. Adachi T, Ellingwood BR. Serviceability of earthquake-damaged water systems: effects of electrical power availability and power backup systems on system vulnerability. Reliab Eng Syst Saf 2008;93:78-88.
8. Dawson RJ, Peppe R, Wang M. An agent-based model for risk-based flood incident management. Nat Hazards 2011;59:167-89.
9. Peeta S, Sibel Salman F, Gunnec D, Viswanath K. Pre-disaster investment decisions for strengthening a highway network. Comput Oper Res 2010;37:1708-19.
10. Chang L, Peng F, Ouyang Y, Elnashai AS, Spencer BF. Bridge seismic retrofit program planning to maximize postearthquake transportation network capacity. J Infrastruct Syst 2012;18:75-88.
11. Romero N, Nozick LK, Dobson I, Xu N, Jones DA. Seismic retrofit for electric power systems. Earthq Spectra 2015;31:1157-76.
12. Huang G, Wang J, Chen C, Qi J, Guo C. Integration of preventive and emergency responses for power grid resilience enhancement. IEEE Trans Power Syst 2017;32:4451-63.
13. Xu M, Ouyang M, Mao Z, Xu X. Improving repair sequence scheduling methods for postdisaster critical infrastructure systems. Comput-Aided Civ Inf 2019;34:506-22.
14. Zou Q, Chen S. Resilience-based recovery scheduling of transportation network in mixed traffic environment: a deep-ensemble-assisted active learning approach. Reliab Eng Syst Saf 2021;215:107800.
15. Nurre SG, Cavdaroglu B, Mitchell JE, Sharkey TC, Wallace WA. Restoring infrastructure systems: an integrated network design and scheduling (INDS) problem. Eur J Oper Res 2012;223:794-806.
16. Li Y, Zhang C, Jia C, Li X, Zhu Y. Joint optimization of workforce scheduling and routing for restoring a disrupted critical infrastructure. Reliab Eng Syst Saf 2019;191:106551.
17. Fang Y, Sansavini G. Optimum post-disruption restoration under uncertainty for enhancing critical infrastructure resilience. Reliab Eng Syst Saf 2019;185:1-11.
18. Natvig B, Huseby AB, Reistadbakk MO. Measures of component importance in repairable multistate systems-a numerical study. Reliab Eng Syst Saf 2011;96:1680-90.
19. Fang Y, Pedroni N, Zio E. Resilience-based component importance measures for critical infrastructure network systems. IEEE Trans Reliab 2016;65:502-12.
20. Wen M, Chen Y, Yang Y, Kang R, Zhang Y. Resilience-based component importance measures. Int J Robust Nonlinear Control 2020;30:4244-54.
21. Chang SE, Shinozuka M. Measuring improvements in the disaster resilience of communities. Earthq Spectra 2004;20:739-55.
22. Hong L, Ouyang M, Peeta S, He X, Yan Y. Vulnerability assessment and mitigation for the Chinese railway system under floods. Reliab Eng Syst Saf 2015;137:58-68.
23. Salman AM, Li Y. Assessing climate change impact on system reliability of power distribution systems subjected to hurricanes. J Infrastruct Syst 2017;23:04016024.
24. Espiritu JF, Coit DW, Prakash U. Component criticality importance measures for the power industry. Electr Power Syst Res 2007;77:407-20.
25. Salman AM, Li Y, Stewart MG. Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes. Reliab Eng Syst Saf 2015;144:319-33.
26. Li J, Wang T, Shang Q. Probability-based seismic reliability assessment method for substation systems. Earthq Eng Struct Dyn 2019;48:328-46.
27. Rocco CM, Ramirez-marquez JE, Salazar DE, Hernandez I. Implementation of multi-objective optimization for vulnerability analysis of complex networks. Proc Inst Mech Eng O J Risk Reliab 2010;224:87-95.
28. Yuan W, Wang J, Qiu F, Chen C, Kang C, Zeng B. Robust optimization-based resilient distribution network planning against natural disasters. IEEE Trans Smart Grid 2016;7:2817-26.
29. Yan Y, Hong L, He X, Ouyang M, Peeta S, Chen X. Pre-disaster investment decisions for strengthening the Chinese railway system under earthquakes. Transport Res E-Log 2017;105:39-59.
30. Ma S, Chen B, Wang Z. Resilience enhancement strategy for distribution systems under extreme weather events. IEEE Trans Smart Grid 2018;9:1442-51.
31. Lu J, Gupte A, Huang Y. A mean-risk mixed integer nonlinear program for transportation network protection. Eur J Oper Res 2018;265:277-89.
32. Liu C, Ouyang M, Wang N, Mao Z, Xu X. A heuristic method to identify optimum seismic retrofit strategies for critical infrastructure systems. Comput-Aided Civ Inf 2021;36:996-1012.
33. Miller-hooks E, Zhang X, Faturechi R. Measuring and maximizing resilience of freight transportation networks. Comput Oper Res 2012;39:1633-43.
34. Gomez C, Baker JW. An optimization-based decision support framework for coupled pre- and post-earthquake infrastructure risk management. Struct Saf 2019;77:1-9.
35. Romero NR, Nozick LK, Dobson ID, Xu N, Jones DA. Transmission and generation expansion to mitigate seismic risk. IEEE Trans Power Syst 2013;28:3692-701.
36. Ouyang M, Liu C, Xu M. Value of resilience-based solutions on critical infrastructure protection: Comparing with robustness-based solutions. Reliab Eng Syst Saf 2019;190:106506.
37. Federal Emergency Management Agency. HAZUS-MH MR4 technical manual. national institute of building sciences and federal emergency management agency (NIBS and FEMA), 2003;712.
38. Fotouhi H, Moryadee S, Miller-hooks E. Quantifying the resilience of an urban traffic-electric power coupled system. Reliab Eng Syst Saf 2017;163:79-94.
39. Martello S, Toth P. Knapsack problems: algorithms and computer implementations New York: John Wiley & Sons, Inc; 1990.
40. Kleywegt AJ, Shapiro A, Homem-de-mello T. The sample average approximation method for stochastic discrete optimization. SIAM J Optim 2002;12:479-502.
41. Shinozuka M, Feng M, Dong X, et al. Advances in seismic performance evaluation of power systems. In: Research Progress and Accomplishments 2001-2003; 2003. pp. 1-16.
42. Chang S E, Seligson H A. Evaluating mitigation of urban infrastructure systems: application to the Los Angeles department of water and power. In Advancing Mitigation Technologies and Disaster Response for Lifeline Systems. 10-13 August 2003; Long Beach, CA, USA. pp. 474-83.