Developing adaptive resilience in infrastructure systems: an approach to quantify long-term benefits

References

• AASHTO. (2017). Understanding transportation resilience: A 2016-2018 roadmap |.
   Google Scholar
• Adams, T. M., Bekkem, K. R., & Toledo-Durán, E. J. (2012). Freight resilience measures. Journal of Transportation Engineering, American Society of Civil Engineers, 138(11), 1403–1409. https://ascelibrary.org/doi/abs/10.1061/(ASCE)TE.1943-5436.0000415. doi:10.1061/(ASCE)TE.1943-5436.0000415.
   Web of Science ®Google Scholar
• ASCE. (2013). Policy statement 518- Unified definitions for critical infrastructure resilience (ASCE).
   Google Scholar
• Bosello, F., & Chen, C. (2011). Adapting and mitigating to climate change: Balancing the choice under uncertainty. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1737614. FEEM Working Paper No. 159.2010.
   Google Scholar
• Brodie, M., Weltzien, E., Altman, D., Blendon, R. J., & Benson, J. M. (2006). Experiences of hurricane Katrina evacuees in Houston shelters: Implications for future planning. American Journal of Public Health, 96(8), 1402–1408. https://doi.org/10.2105/AJPH.2005.084475
   PubMed Web of Science ®Google Scholar
• Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O'Rourke, T. D., Reinhorn, A. M.,& Von Winterfeldt, D. (2003). A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake spectra, 19(4), 733-752.
   Google Scholar
• CA.gov. (2018). “California climate change assessment.” Retrieved June 8, 2021, from <https://www.climateassessment.ca.gov/>
   Google Scholar
• Cal-Adapt. (2021). “Cal-Adapt.” Retrieved June 8, 2021, from <https://cal-adapt.org/data/>
   Google Scholar
• Chester, M. V., & Allenby, B. (2018). Toward adaptive infrastructure: Flexibility and agility in a non-stationarity age. Sustainable and Resilient Infrastructure, 4(4), 1–19. doi:10.1080/23789689.2017.1416846.
   Web of Science ®Google Scholar
• Chester, M. V., Underwood, B. S., & Samaras, C. (2020). Keeping infrastructure reliable under climate uncertainty. Nature Climate Change, 10 (6), 488–490. Nature Publishing Group. https://doi.org/10.1038/s41558-020-0741-0
   Web of Science ®Google Scholar
• Cimellaro, G. P., Reinhorn, A. M., & Bruneau, M. (2010). Framework for analytical quantification of disaster resilience. Engineering Structures, 32(11), 3639–3649. https://doi.org/10.1016/j.engstruct.2010.08.008
   Web of Science ®Google Scholar
• Clinton, W. J. (2006). Lessons learned from tsunami recovery: Key propositions for building back better. Office of the UN Secretary-General’s Special Envoy for Tsunami Recovery.
   Google Scholar
• Comes, T., & Van de Walle, B. (2014). Measuring disaster resilience: The impact of hurricane sandy on critical infrastructure systems. University Park.
   Google Scholar
• Fernandez, G., & Ahmed, I. (2019). “Build back better” approach to disaster recovery: Research trends since 2006. Progress in Disaster Science, 1, 100003. https://doi.org/10.1016/j.pdisas.2019.100003
   Google Scholar
• Fetters, A. (2018). “‘Even the best-run hurricane shelters can be highly stressful.’” The Atlantic. Retrieved June 8, 2021, from <https://www.theatlantic.com/family/archive/2018/09/shelter-with-friends-family-hurricane-trauma/570703/>
   Google Scholar
• FHWA. (2017). Vulnerability assessment and adaptation framework (Third Edition (FHWA) ed.).
   Google Scholar
• Field, C. B., Barros, V. R., Mastrandrea, M. D., Mach, K. J., Abdrabo, M. K., Adger, N.,and Yohe, G. (2014). “Climate change 2014: Impacts, adaptation, and vulnerability – IPCC WGII AR5 summary for policymakers, 1-32. https://www.researchgate.net/publication/272150376_Climate_change_2014_impacts_adaptation_and_vulnerability_-_IPCC_WGII_AR5_summary_for_policymakers. (IPCC)
   Google Scholar
• Gilrein, E. J., Carvalhaes, T. M., Markolf, S. A., Chester, M. V., Allenby, B. R., & Garcia, M. (2019). Concepts and practices for transforming infrastructure from rigid to adaptable. Sustainable and Resilient Infrastructure, 6(3–4) , 1–22. https://www.tandfonline.com/doi/abs/10.1080/23789689.2019.1599608?journalCode=tsri20. doi:10.1080/23789689.2019.1599608.
   Web of Science ®Google Scholar
• Häring, I., Sansavini, G., Bellini, E., Martyn, N., Kovalenko, T., Kitsak, M., Vogelbacher, G., Ross, K., Bergerhausen, U., Barker, K., & Linkov, I. (2017). Towards a generic resilience management, quantification and development process: general definitions, requirements, methods, techniques and measures, and case studies. In I. Linkov & J. M. Palma-Oliveira (Eds.), Resilience and risk, NATO science for peace and security series C: Environmental security (pp. 21–80). Springer Netherlands.
   Google Scholar
• IPCC. (2019). Sea level rise and implications for low-lying Islands, Coasts and Communities. In: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate.
   Google Scholar
• Jordan, K. (2015). American Counseling Association, 7. https://www.counseling.org/docs/default-source/vistas/the-disaster-survivor.pdf?sfvrsn=e2db432c_6.
   Google Scholar
• Kafalenos, R. (2018). FHWA resilience resources. Resilience Innovations Summit & Exchange, Oct 9, 2018 (TRB), 16. http://onlinepubs.trb.org/onlinepubs/conferences/2018/RISE/Presentations/R.Kafalenos.FHWA_Perspective_on_Resilience_Resources.StateDOTTrack.WindowsRoom.09102018.pdf.
   Google Scholar
• Keim, B., Muller, R., & Stone, G. (2007). Spatiotemporal patterns and return periods of tropical storm and hurricane strikes from Texas to Maine. Journal of Climate, 20(14). https://journals.ametsoc.org/configurable/content/journals$002fclim$002f20$002f14$002fjcli4187.1.xml?t:ac=journals%24002fclim%24002f20%24002f14%24002fjcli4187.1.xml.
   Web of Science ®Google Scholar
• Kiefer, J., Jenkins, P., & Laska, S. (2009). “City-assisted evacuation plan participant survey report.” 30. (University of New Orleans).
   Google Scholar
• Kline, S., May, K., Park, R., Tobin, M., Vandever, J., Wijsman, P., Paz, L., Gosch, M., Gillespie, K., & Visions, D. (2011). Adapting to rising tides-transportation vulnerability and risk assessment pilot project-briefing book. http://www.adaptingtorisingtides.org/wp-content/uploads/2015/04/RisingTides_BriefingBook_sm.pdf. (FHWA).
   Google Scholar
• Marsooli, R., Lin, N., Emanuel, K., & Feng, K. (2019). Climate change exacerbates hurricane flood hazards along US Atlantic and Gulf Coasts in spatially varying patterns. Nature Communications, 10(1), 3785. https://doi.org/10.1038/s41467-019-11755-z
   PubMed Web of Science ®Google Scholar
• Mudigonda, S., Ozbay, K., & Bartin, B. (2019). Evaluating the resilience and recovery of public transit system using big data: Case study from New Jersey. Journal of Transportation Safety & Security, Taylor & Francis, 11(5), 491–519. https://doi.org/10.1080/19439962.2018.1436105
   Web of Science ®Google Scholar
• “NJ TRANSITGRID.” (n.d.). Resilience program.
   Google Scholar
• NOAA. (2021). NOAA National Centers for Environmental Information (NCEI) U.S. Billion-Dollar weather and climate disasters.
   Google Scholar
• NOAA. (n.d.). “Saffir-Simpson hurricane wind scale.” Retrieved June 8, 2021, <https://www.nhc.noaa.gov/aboutsshws.php> (NOAA)
   Google Scholar
• Ouyang, M., Dueñas-Osorio, L., & Min, X. (2012). A three-stage resilience analysis framework for urban infrastructure systems. Structural Safety, 36, 23–31. https://doi.org/10.1016/j.strusafe.2011.12.004
   Web of Science ®Google Scholar
• Pendall, R., Foster, K. A., & Cowell, M. (2010). Resilience and regions: Building understanding of the metaphor. Cambridge Journal of Regions, Economy and Society, 3(1), 71–84. https://doi.org/10.1093/cjres/rsp028
   Web of Science ®Google Scholar
• Pierce, D., Kalansky, J., & Cayan, D. (2018). “Climate, drought, and sea level rise scenarios for California’s fourth climate change assessment.” Retrieved June 8, 2021, </paper/CLIMATE%2C-DROUGHT%2C-AND-SEA-LEVEL-RISE-SCENARIOS-FOR-Pierce-Kalansky/a14d7f2f76e7d72cfd3023c86e02c567db0ee66c&#x003E
   Google Scholar
• Puskorius, S. (2015). The methodology of calculation the quality of life index. International Journal of Information and Education Technology, 5(2), 156–159. https://doi.org/10.7763/IJIET.2015.V5.494
   Google Scholar
• Reed, D. A., Kapur, K. C., & Christie, R. D. (2009). Methodology for assessing the resilience of networked infrastructure. IEEE Systems Journal, 3(2), 174–180. https://doi.org/10.1109/JSYST.2009.2017396
   Web of Science ®Google Scholar
• Righi, A. W., Saurin, T. A., & Wachs, P. (2015). A systematic literature review of resilience engineering: Research areas and a research agenda proposal. Reliability Engineering & System Safety. Special Issue on Resilience Engineering, 141, 142–152. https://doi.org/10.1016/j.ress.2015.03.007
   Web of Science ®Google Scholar
• Salem, S., Siam, A., El-Dakhakhni, W., & Tait, M. (2020). Probabilistic resilience-guided infrastructure risk management. Journal of Management in Engineering, 36(6), 04020073. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000818
   Web of Science ®Google Scholar
• Schrilla, T. P. (2019). “Evacuation and return: Increasing safety and reducing risk (Report 0137).” Federal Transit Administration, Text, United States Department of Transportation, Retrieved June 8, 2021, <https://cms7.fta.dot.gov/research-innovation/evacuation-and-return-increasing-safety-and-reducing-risk-report-0137&#x003E
   Google Scholar
• Sheffi, Y., & Rice, J. (2005). A supply chain view of the resilient enterprise. MIT Sloan Management Review, 47. https://sloanreview.mit.edu/article/a-supply-chain-view-of-the-resilient-enterprise/.
   Web of Science ®Google Scholar
• Singh, P., Ashuri, B., & Amekudzi-Kennedy, A. (2020). Application of dynamic adaptive planning and risk-adjusted decision trees to capture the value of flexibility in resilience and transportation planning. Transportation Research Record, 2674 (9), 298–310. SAGE Publications Inc. https://doi.org/10.1177/0361198120929012
   Web of Science ®Google Scholar
• Tabbakhha, M., Astaneh-Asl, A., & Setioso, D. (2016). Failure analysis of flood collapse of the Tex Wash Bridge. World Congress on Civil, Structural, and Environmental Engineering, Prague, Czech Republic. doi:10.11159/icsenm16.118.
   Google Scholar
• Tang, J., & Heinimann, H. R. (2018). A resilience-oriented approach for quantitatively assessing recurrent spatial-temporal congestion on urban roads. Plos One, 13(1), e0190616. https://doi.org/10.1371/journal.pone.0190616
   PubMed Web of Science ®Google Scholar
• Wade, L. (2017). Who Didn’t Evacuate for Hurricane Katrina? Pacific Standard. Retrieved June 8, 2021, from <https://psmag.com/environment/who-didnt-evacuate-for-hurricane-katrina>
   Google Scholar
• Wall, T. A., Walker, W. E., Marchau, V. A. W. J., & Bertolini, L. (2015). Dynamic adaptive approach to transportation-infrastructure planning for climate change: San-Francisco-Bay-Area case study. Journal of Infrastructure Systems, 21(4), 05015004. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000257
   Web of Science ®Google Scholar
• Wang, S., Gu, X., Luan, S., & Zhao, M. (2021). Resilience analysis of interdependent critical infrastructure systems considering deep learning and network theory. International Journal of Critical Infrastructure Protection, 35, 100459. https://doi.org/10.1016/j.ijcip.2021.100459
   Web of Science ®Google Scholar
• Wdowinski, S., Bray, R., Kirtman, B. P., & Wu, Z. (2016). Increasing flooding hazard in coastal communities due to rising sea level: Case study of Miami Beach, Florida. Ocean & Coastal Management, 126, 1–8. https://doi.org/10.1016/j.ocecoaman.2016.03.002
   Web of Science ®Google Scholar
• Yu, K., Wilson, J., & Wang, Y. (2014). 10th US National Conference on Earthquake Engineering, July 2014, Alaska. doi:10.4231/D3CN6Z08T.
   Google Scholar
• Zimmermann, K. A. (2015). “Hurricane Katrina: Facts, damage & aftermath | Live Science.” <https://www.livescience.com/22522-hurricane-katrina-facts.html> (Apr. 20, 2020) (LIVESCIENCE)
   Google Scholar