The Centerville Virtual Community: a fully integrated decision model of interacting physical and social infrastructure systems

Sustainable and Resilient Infrastructure

Volumn 1, Issue 3-4, 2016, Pages 95-107

  Ellingwood, Bruce R ^a   Cutler, Harvey ^b   Gardoni, Paolo ^c   Peacock, Walter Gillis ^d   van de Lindt, John W ^a   Wang, Naiyu ^e  

^a Department of Chemical and Biological Engineering and School of Biomedical Engineering   (United States)

^b Department of Ecosystem Science and Sustainability   (United States)

^c University of Illinois at Urbana Champaign   (United States)

^d TEXAS A AND M UNIVERSITY   (United States)

^e USA   (United States)

Author keywords

Civil infrastructure; life cycle engineering; natural hazards; resilience; risk informed decision

Indexed keywords

CLASSIFICATION (OF INFORMATION); HAZARDS; LIFE CYCLE; SOCIAL NETWORKING (ONLINE); TESTBEDS; VIRTUAL REALITY;

CIVIL INFRASTRUCTURES; INFORMED DECISION; LIFE CYCLE ENGINEERING; NATURAL HAZARD; RESILIENCE;

RISK ASSESSMENT;

EID: 85029959193     PISSN: 23789689     EISSN: 23789697     Source Type: Journal    
DOI: 10.1080/23789689.2016.1255000     Document Type: Article

References (47)

1. American Community Survey. Washington, DC: US Census Bureau.
2. Amini, M. Omar, & van de Lindt, John W., (2014). Quantitative insight into rational Tornado design wind speeds for residential wood-frame structures using fragility approach. Journal of Structural Engineering, 1–15. doi: 10.1061/(ASCE)ST.1943-541X.0000914
3. American Society of Civil Engineers. (2015). Adapting infrastructure and civil engineering practice to a changing climate. Reston, VA: Author.
4. Bocchini, P., & Frangopol, D. M., (2012). Optimal resilience- and cost-based post-disaster intervention prioritization for bridges along a highway segment. Journal of Bridge Engineering, ASCE, 17(1), 117–129.
5. Bruneau, M., Chang, S., Eguchi, R., Lee, G., O’Rourke, T., Reinhorn, A. M., … 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
6. Chang, S. E., & Shinozuka, M., (2004). Measuring improvements in the disaster resilience of communities. Earthquake Spectra, 20, 739–755.10.1193/1.1775796
7. Cimellaro, G. P., Reinhorn, A. M., & Bruneau, M., (2010). Framework for analytical quantification of disaster resilience. Engineering Structures, 32, 3639–3649.10.1016/j.engstruct.2010.08.008
8. Cox, JrL., (2012). Confronting deep uncertainties in risk analysis. Risk Analysis, 32, 1607–1629.10.1111/risk.2012.32.issue-10
9. Cutler, H., Shields, M., Tavani, D., & Zahran, S., (2016). Integrating engineering outputs from natural disaster models into a dynamic spatial general equilibrium model of Centerville. Sustainable and Resilient Infrastructure.
10. Cutter, S. L., Burton, C. G., & Emrich, C. T., (2010). Disaster resilience indictor for benchmarking baseline conditions. Journal of Homeland Security and Emergency Management, 7(1). Article 51.
11. Dashti, S., Palen, L., Heris, M. P., Anderson, K. M., Anderson, S., & Anderson, T. J., (2014, May). Supporting disaster reconnaissance with social media data: A design-oriented case study of the 2013 Colorado floods. University of Colorado Boulder. Federal Highway Administration. Proceedings of the 11th International ISCRAM Conference. University Park, PA.
12. Ellingwood, B., (2001). Acceptable risk bases for design of structures. Progress in Structural Engineering and Materials, 3, 170–179.10.1002/(ISSN)1528-2716
13. Ellingwood, B., (2007). Strategies for mitigating risk to buildings from abnormal load events. International Journal of Risk Assessment and Management, 7, 828–841.10.1504/IJRAM.2007.014662
14. Francis, R., & Behailu, B., (2014). A metric and frameworks for resilience analysis of engineered and infrastructure systems. Reliability Engineering & System Safety, 121, 90–103.10.1016/j.ress.2013.07.004
15. Ghosh, J., Rokneddin, K., Padgett, J. E., & Dueñas-Osorio, L., (2014, May). Seismic reliability assessment of aging highway bridge networks with field instrumentation data and correlated failures. I: Methodology. Earthquake Spectra, 30, 795–817.10.1193/040512EQS155M
16. Grossi, P., & Kunreuther, H., (2005). Catastrophe modeling: A new approach to managing risk. New York, NY: Springer.10.1007/b100669
17. Guidotti, R., Chmielewski, H., Unnikrishnan, V., Gardoni, P., McAllister, T., & van de Lindt, J. W., (2016). Modeling the resilience of critical infrastructure: The role of network dependencies. Sustainable and Resilient Infrastructure.
18. HAZUS-MH. (2004). Federal Emergency Management Agency. Washington, DC.
19. Kinali, K., & Ellingwood, B. R., (2007). Seismic fragility assessment of steel frames for consequence-based engineering: A case study for Memphis, TN. Engineering Structures, 29, 1115–1127.10.1016/j.engstruct.2006.08.017
20. Kuligowski, E. D., Lombardo, Franklin T., Phan, L. T., Levitan, M. L., & Jorgensen, D. P. (2014, March). Technical investigation of the May 22, 2011, Tornado in Joplin, Missouri. Gaithersburg, MD: National Institute of Standards and Technology (NIST). NCSTAR 3. doi: 10.6028/NIST.NCSTAR.3
21. Kumar, R., & Gardoni, P., (2014). Renewal theory-based life-cycle analysis of deteriorating engineering systems. Structural Safety, 50, 94–102.10.1016/j.strusafe.2014.03.012
22. Lin, P., & Wang, N., (2016). Building portfolio fragility analysis to support scalable community resilience assessment. Sustainable and Resilient Infrastructure.
23. 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(1–2), 1–13.10.1080/23789689.2016.1178559
24. Lounis, Z., & McAllister, T. P., (2016). Risk-based decision making for sustainable and resilient infrastructure systems. Journal of Structural Engineering, ASCE, F4016005.
25. Maranghides, A., & McNamara, D. (2016, February). 2011 Wildland urban interface Amarillo fires report #2–Assessment of fire behavior and wui measurement science. Gaithersburg, MD: National Institute of Standards and Technology (NIST) Technical Note 1909. doi: 10.6028/NIST.TN.1909
26. May, P. J., (2004). Making choices about earthquake performance. National Hazards Review, 5, 64–70.10.1061/(ASCE)1527-6988(2004)5:2(64)
27. McAllister, T. P., (2013). Developing guidelines and standards for disaster resilience of the built environment: A research needs assessment.NIST Technical Note 1795. Gaithersburg, MD: National Institute for Standards and Technology.10.6028/NIST.TN.1795
28. Mieler, M., Stojadinovic, B., Budnitz, R., Comerio, M., & Mahin, S., (2015). A framework for linking community-resilience goals to specific performance targets for the built Environment. Earthquake Spectra, 31, 1267–1283.10.1193/082213EQS237M
29. National Academies. (2012). Disaster resilience: A national imperative–Summary. Committee on Science, Engineering and Public Policy, The National Academies. Retrieved from www.nap.edu/html/13457/13457_summary.pdf
30. National Institute of Standards and Technology. (2006). Performance of physical structures in Hurricane Katrina and Hurricane Rita: A reconnaissance report. Gaithersburg, MD: National al Institute of Standasrds and Technical Report.
31. National Institute of Standards and Technology. (2015). Community resilience planning guide for buildings and infrastructure systems (in two volumes). NIST Special Publication 1190 (Vols 1 and 2). Gaithersburg, MD: Author.
32. National Institute of Standards and Technology. (2016). Critical assessment of lifeline system performance: understanding societal needs in disaster recovery. (Report GCR 16-917-39, prepared by the Applied Technology Council, Redwood City) Gaithersburg, MD: Author.
33. Ouyang, M., & Dueñas-Osorio, L., (2012). Time-dependent resilience assessment and improvement of urban infrastructure systems. Chaos: An interdisciplinary Journal of Nonlinear Science, 22, 033122.
34. Ploeger, S., Atkinson, G., & Samson, C., (2010). Applying the HAZUS-MH software tool to assess seismic risk in downtown Ottawa, Canada. Natural Hazards, 53(1), 1–20. doi:10.1007/s11069-009-9408-x
35. Poland, C. D. (2013). SPUR resilient city goals. SPUR Resilient City Goals, Roundtable on standards for disaster resilience for buildings and infrastructure systems. San Francisco, CA, September 26, 2011.
36. Presidential Policy Directive (PPD 21). Critical infrastructure security and resilience. Retrieved from www.whitehouse.gov
37. Reed, D. A., Friedland, C. J., Wang, S., & Massarra, C. C., (2016). Multi-hazard system-level logit fragility functions. Engineering Structures, 122, 14–23.10.1016/j.engstruct.2016.05.006
38. Sánchez-Silva, M., Frangopol, D. M., Padgett, J. E., & Soliman, M., (2016, June). Maintenance and operation of infrastructure systems: A review. ASCE Journal of Structural Engineering, F4016004. doi: 10.1061/(ASCE)ST.1943-541X.0001543
39. Slovic, P., (2000). The perception of risk. Sterling, VA: Earthscan Publications.
40. Standohar-Alfano, C. D., & van de Lindt, J. W., (2014). An empirically-based probabilistic Tornado hazard analysis of the U.S. Using 1973–2011 Data. Natural Hazards Review, 10. doi: 10.1061/(ASCE)ΝΗ.1527−6996.0000138,04014013
41. Unnikrishnan, V. U., & van de Lindt, J. W., (2016). Performance assessment of electrical power networks to scenario tornadoes. Sustainable and Resilient Infrastructure.
42. van de Lindt, J. W., Graettinger, A. J., Gupta, R., Skaggs, T. D., Pryor, S. E., & Fridley, K. J., (2007). Performance of wood-frame structures during Hurricane Katrina. American Society of Civil Engineers (ASCE). Journal of Performance of Constructed Facilities, 21(2), 108–116. March/April 2007.
43. Vitoontus, S., & Ellingwood, B. R., (2013). Role of correlation in seismic demand and building damage in estimating losses under scenario earthquakes. In Proceedings of 11th International Conference on Structural Safety & Reliability(ICOSSAR 2013), New York, NY: Taylor & Francis; The Netherlands: A.A. Balkema.
44. Xiao, Y., & Van Zandt, S., (2012). Building community resiliency: Spatial links between household and business post-disaster return. Urban Studies, 49, 2523–2542.10.1177/0042098011428178
45. Zhang, W., & Nicholson, C., (2016). A multi-objective optimization approach for allocating resources to building retrofit to impact expected economic loss and population dislocation. Sustainable and Resilient Infrastructure.
46. Zhang, W., & Wang, N., (2016). Resilience-based risk mitigation for road networks. Structural Safety, 62, 57–65.10.1016/j.strusafe.2016.06.003
47. Zhang, W., Wang, N., & Nicholson, C. D., (2016). Resilience-based post-disaster recovery strategies for community road-bridge networks. Structure and Infrastructure Engineering. In review.