Chapter
Apr 8, 2022
Chapter 4

Quantitative Models for Interdependent Functionality and Recovery of Critical Infrastructure Systems

Publication: Objective Resilience: Objective Processes

Abstract

This chapter provides a comprehensive review of available methods of modeling infrastructure interdependencies for quantification, prediction, and enhancement of disaster resilience. A specific characteristic of intrasystem dependency is the dependency of the functionality of an infrastructure system on the functionality of all its components, and the dependency of the functionality of a component on the functionality of all its subcomponents. Some findings of the PRAISys project are summarized to provide a comprehensive review of existing methods of modeling and assessing infrastructure interdependencies. Models and classifications are presented in a general context to highlight their essence, while specific dependencies and interdependencies between two infrastructure types are noted.

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Acknowledgments

This work is part of the “Probabilistic Resilience Assessment of Interdependent Systems (PRAISys)” project ( www.praisys.org). The support from the National Science Foundation through grant CMMI-1541177 and the Pennsylvania Infrastructure Technology Alliance through grant PITA-16-12 is gratefully acknowledged. The opinions and conclusions presented in this chapter are those of the authors and do not necessarily reflect the views of the sponsoring organizations.

References

100RC. 2018. “100 Resilient cities.” Accessed December 10, 2018. http://www.100resilientcities.org/.
Abdalla, R., C. V. Tao, Q. Cheng, and J. Li. 2007. “A network-centric modeling approach for infrastructure interdependency.” Photogramm. Eng. Remote Sens. 73 (6): 681–690.
Abdelhady, A. U., S.-Y. Lin, L. Xu, O. A. Sediek, A. W. Hlynka, S. El-Tywil et al. 2019. “A distributed computing platform for community resilience estimation.” In Proc., 13th Int. Conf. on Applications of Statistics and Probability in Civil Engineering, –8. Seoul, South Korea: Seoul National University Library.
ANCR (Alliance for National & Community Resilience). 2018. “ANCR.” Accessed March 10, 2019. http://www.resilientalliance.org/.
Anderson, C. W., J. R. Santos, and Y. Y. Haimes. 2007. “A risk-based input–output methodology for measuring the effects of the August 2003 northeast blackout.” Econ. Syst. Res. 19 (2): 183–204.
Applegate, C. J., and I. Tien. 2019. “Framework for probabilistic vulnerability analysis of interdependent infrastructure systems.” J. Comput. Civ. Eng. 33 (1): 04018058.
Arboleda, C. A., D. M. Abraham, J.-P. P. Richard, and R. Lubitz. 2009. “Vulnerability assessment of health care facilities during disaster events.” J. Infrastruct. Syst. 15 (3): 149–161.
ATC (Applied Technology Council). 1985. Earthquake damage evaluation data for California. Technical Rep. Redwood City, CA: ATC.
Aung, Z. Z., and K. Watanabe. 2009. “A framework for modeling interdependencies in Japan's critical infrastructures.” In Vol. 311 of Critical Infrastructure Protection II. IFIP Advances in Information and Communication Technology, C. Palmer and S. Shenoi, eds., 243–257. Berlin: Springer.
Australian Government. 2010. Critical infrastructure resilience strategy (CIRS). Canberra, Australia: Commonwealth of Australia, Australian Government.
Balducelli, C., S. Bologna, A. Di Pietro, and G. Vicoli. 2005. “Analysing interdependencies of critical infrastructures using agent discrete event simulation.” Int. J. Emergency Manage. 2 (4): 306–318.
Barbosa-Filho, H., M. Barthelemy, G. Ghoshal, C. R. James, M. Lenormand, T. Louail et al. 2018. “Human mobility: Models and applications.” Phys. Rep. 734: 1–74.
Barker, K., and J. R. Santos. 2010. “Measuring the efficacy of inventory with a dynamic input–output model.” Int. J. Prod. Econ. 126 (1): 130–143.
Barrett, C., R. Beckman, K. Channakeshava, F. Huang, V. S. A. Kumar, A. Marathe et al. 2010. “Cascading failures in multiple infrastructures: From transportation to communication network.” In Proc., 2010 5th Int. Conf. on Critical Infrastructure, –8. Piscataway, NJ: IEEE.
Barton, D. C., E. D. Eidson, D. A. Schoenwald, R. G. Cox, and R. K. Reinert. 2004. Simulating economic effects of disruptions in the telecommunications infrastructure. Livermore, CA: Sandia National Laboratories.
Barton, D. C., E. D. Eidson, D. A. Schoenwald, K. L. Stamber, and R. K. Reinert. 2000. ASPEN-EE: An agent-based model of infrastructure interdependency. Livermore, CA: Sandia National Laboratories.
Basu, N., R. Pryor, and T. Quint. 1998. “ASPEN: A microsimulation model of the economy.” Comput. Econ. 12 (3): 223–241.
Basu, N., R. Pryor, T. Quint, and T. Arnold. 1996. ASPEN: A microsimulation model of the economy. Sandia Rep. No. SAND96-2458. Albuquerque, NM: Sandia National Laboratories.
Bayram, I. S., G. Michailidis, M. Devetsikiotis, and F. Granelli. 2013. “Electric power allocation in a network of fast charging stations.” IEEE J. Sel. Areas Commun. 31 (7): 1235–1246.
BEA (Bureau of Economic Analysis). 2013. “US economic accounts.” Accessed December 10, 2018. http://www.bea.gov.
Belcher, S. 2017. “USNS comfort restocks to continue post-hurricane care.” US Department of Defense. Accessed March 22, 2018. https://www.defense.gov/News/Article/Article/1367372/usns-comfort-restocks-to-continue-post-hurricane-care/.
Bensi, A., A. Der Kiureghian, and D. Struab. 2015. “Framework for post-earthquake risk assessment and decision making for infrastructure systems.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 1 (1): 04014003.
Bigger, J. E., M. G. Willingham, F. Krimgold, and L. Mili. 2009. “Consequences of critical infrastructure interdependencies: Lessons from the 2004 hurricane season in Florida.” Int. J. Crit. Infrastruct. 5 (3): 199–219.
Bobbio, A., G. Bonanni, E. Ciancamerla, R. Clemente, A. Iacomini, M. Minichino et al. 2010. “Unavailability of critical SCADA communication links interconnecting a power grid and a Telco network.” Reliab. Eng. Syst. Saf. 95 (12): 1345–1357.
Bocchini, P., and D. M. Frangopol. 2010. “On the applicability of random field theory to transportation network analysis.” In Proc., Bridge Maintenance, Safety and Management, 3018–3026. Boca Raton, FL: CRC Press.
Bocchini, P., and D. M. Frangopol. 2011a. “A stochastic computational framework for the joint transportation network fragility analysis and traffic flow distribution under extreme events.” Probab. Eng. Mech. 26 (2): 182–193.
Bocchini, P., and D. M. Frangopol. 2011b. “Generalized bridge network performance analysis with correlation and time-variant reliability.” Struct. Saf. 33 (2): 155–164.
Bocchini, P., and D. M. Frangopol. 2012a. “Optimal resilience- and cost-based post-disaster intervention prioritization for bridges along a highway segment.” J. Bridge Eng. 17 (1): 117–129.
Bocchini, P., and D. M. Frangopol. 2012b. “Restoration of bridge networks after an earthquake: Multi-criteria intervention optimization.” Earthquake Spectra 28 (2): 427–455.
Bocchini, P., and D. M. Frangopol. 2013. “Connectivity-based optimal scheduling for maintenance of bridge networks.” J. Eng. Mech., 139 (6): 760–769.
Bocchini, P., D. M. Frangopol, T. Ummenhofer, and T. Zinke. 2014. “Resilience and sustainability of civil infrastructure: Toward a unified approach.” J. Infrastruct. Syst. 20 (2): 04014004.
Boudali, H., P. Crouzen, and M. Stoelinga. 2007. “Dynamic fault tree analysis using input/output interactive Markov chains.” In Proc., 37th Annual IEEE/IFIP Int. Conf. on Dependable Systems and Networks, 708–717. Piscataway, NJ: IEEE.
Bröcker, J. 1998. “Operational spatial computable general equilibrium modeling.” Ann. Reg. Sci. 32 (3): 367–387.
Bromley, J., N. A. Jackson, O. J. Clymer, A. M. Giacomello, and F. V. Jensen. 2005. “The use of Hugin to develop Bayesian networks as an aid to integrated water resource planning.” Environ. Modell. Software 20 (2): 231–242.
Brown, D. G., R. Riolo, D. T. Robinson, M. North, and W. Rand. 2005. “Spatial process and data models: Toward integration of agent-based models and GIS.” J. Geog. Syst. 7 (1): 25–47.
Brown, T., W. Beyeler, and D. Barton. 2004. “Assessing infrastructure interdependencies: The challenge of risk analysis for complex adaptive systems.” Int. J. Crit. Infrastruct. 1 (1): 108–117.
Buldyrev, S. V., N. W. Shere, and G. A. Cwilich. 2011. “Interdependent networks with identical degrees of mutually dependent nodes.” Phys. Rev. E 83 (1): 016112.
Bush, B., L. Dauelsberg, R. Leclaire, D. Powell, S. Deland, and M. Samsa. 2005. Critical infrastructure protection decision support system (CIP/DSS) project overview. Los Alamos, NM: Los Alamos National Laboratory.
Campbell, J. Y., and J. H. Cochrane. 1999. “By force of habit: A consumption-based explanation of aggregate stock market behavior.” J. Political Econ. 107 (2): 205–251.
Carroll, S. P., J. S. Owen, and M. F. M. Hussein. 2012. “Modelling crowd–bridge dynamic interaction with a discretely defined crowd.” J. Sound Vib. 331 (11): 2685–2709.
Casalicchio, E., E. Galli, and S. Tucci. 2008. “Modeling and simulation of complex interdependent systems: A federated agent-based approach.” In Critical information infrastructure security, lecture notes in computer science, R. Setola and S. Geretshuber, eds., 72–83. Berlin: Springer.
Cavdaroglu, B., E. Hammel, J. E. Mitchell, T. C. Sharkey, and W. A. Wallace. 2013. “Integrating restoration and scheduling decisions for disrupted interdependent infrastructure systems.” Ann. Oper. Res. 203 (1): 279–294.
CEU (Council of the European Union). 2008. “Identification and designation of European critical infrastructures and the assessment of the need to improve their protection.” Off. J. Eur. Union 23 (12): 75–82.
Chan, C., and L. Dueñas-Osorio. 2014. “Spatial–temporal quantification of interdependencies across infrastructure networks.” In Networks of networks: The last frontier of complexity, understanding complex systems, G. D'Agostino and A. Scala, eds., 323–340. Cham, Switzerland: Springer.
Chang, S. E., T. McDaniels, J. Fox, R. Dhariwal, and H. Longstaff. 2014. “Toward disaster-resilient cities: Characterizing resilience of infrastructure systems with expert judgments.” Risk Anal. 34 (3): 416–434.
Chang, S. E., T. L. McDaniels, J. Mikawoz, and K. Peterson. 2007. “Infrastructure failure interdependencies in extreme events: Power outage consequences in the 1998 Ice Storm.” Nat. Hazard. 41 (2): 337–358.
Chen, L., and E. Miller-Hooks. 2012. “Resileince: an indicator of recovery capability in intermodal freight transport.” Transp. Sci., 46 (1): 109–123.
Chen, P., C. Scown, S. Matthews, J. Garrett, and C. Hendrickson. 2009. “Managing critical infrastructure interdependence through economic input-output methods.” J. Infrastruct. Syst. 15 (3): 200–210.
Chen, X., and F. B. Zhan. 2008. “Agent-based modelling and simulation of urban evacuation: Relative effectiveness of simultaneous and staged evacuation strategies.” J. Oper. Res. Soc. 59 (1): 25–33.
Cho, S., P. Gordon, J. E. Moore II, H. W. Richardson, M. Shinozuka, and S. Chang. 2001. “Integrating transportation network and regional economic models to estimate the costs of a large urban earthquake.” J. Reg. Sci. 41 (1): 39–65.
Chou, C.-C., and S.-M. Tseng. 2010. “Collection and analysis of critical infrastructure interdependency relationships.” J. Comput. Civil Eng. 24 (6): 539–547.
Cimellaro, G. P. 2016a. Urban resilience for emergency response and recovery: Fundamental concepts and applications: Geotechnical, geological and earthquake engineering. Berlin: Springer.
Cimellaro, G. P. 2016b. “PEOPLES resilience framework.” In Urban resilience for emergency response and recovery: Fundamental concepts and applications, geotechnical, geological and earthquake engineering, 109–137. Berlin: Springer.
Cimellaro, G. P., D. Solari, and M. Bruneau. 2014. “Physical infrastructure interdependency and regional resilience index after the 2011 Tohoku Earthquake in Japan.” Earthquake Eng. Struct. Dyn. 43 (12): 1763–1784.
Cimellaro, G. P., O. Villa, and M. Bruneau. 2015. “Resilience-based design of natural gas distribution networks.” J. Infrastruct. Syst. 21 (1): 05014005.
CIRI (Critical Infrastructure Resilience Institute). 2018. “A department of homeland security center of excellence.” Accessed May 1, 2019. https://ciri.illinois.edu.
Codetta-Raiteri, D. 2005. “The conversion of dynamic fault trees to stochastic petri nets, as a case of graph transformation.” Electron. Notes Theor. Comput. Sci. 127 (2): 45–60.
Conrad, K., and S. Heng. 2002. “Financing road infrastructure by savings in congestion costs: A CGE analysis.” Ann. Reg. Sci. 36 (1): 107–122.
Cordier, M., J. A. Pérez Agúndez, M. O'Connor, S. Rochette, and W. Hecq. 2011. “Quantification of interdependencies between economic systems and ecosystem services: An input–output model applied to the Seine estuary.” Ecol. Econ. 70 (9): 1660–1671.
CRBCRP (Center for Risk-Based Community Resilience Planning). 2018. Center for Risk-Based Community Resilience Planning. Accessed May 1, 2019. http://resilience.colostate.edu/.
CRC (Coastal Resilience Center). 2018. “A U.S. Department of Homeland Security Center of Excellence.” Accessed May 1, 2019. https://coastalresiliencecenter.unc.edu/.
Crooks, A. T. 2010. “Constructing and implementing an agent-based model of residential segregation through vector GIS.” Int. J. Geogr. Inf. Sci. 24 (5): 661–675.
Cross, J. 2017. “Bouncing back: Sustainability, resilience and the economic impacts of Harvey, Irma and Maria.” In Modern steel construction, S. Melnick, ed., 23–25. Chicago, IL: American Institute of Steel Construction.
Crowther, K. G., and Y. Y. Haimes. 2005. “Application of the inoperability input—output model (IIM) for systemic risk assessment and management of interdependent infrastructures.” Syst. Eng. 8 (4): 323–341.
Crupi, P., A. Agrawal, and G. P. Cimellaro. 2016. “A new methodology to model interdependency of critical infrastructure systems during hurricane Sandy's event.” In Engineering Mechanics Institute Conf. 2016 and Probabilistic Mechanics & Reliability Conf. 2016. Reston, VA: ASCE.
Cutler, H., M. Shields, D. Tavani, and S. Zahran. 2016. “Integrating engineering outputs from natural disaster models into a dynamic spatial computable general equilibrium model of Centerville.” Sustainable Resilient Infrastruct. 1 (3–4): 169–187.
DHS (Department of Homeland Security). 2018. “Critical infrastructure sectors.” Accessed June 1, 2018. https://www.dhs.gov/cisa/critical-infrastructure-sectors.
Di Giorgio, A., and F. Liberati. 2012. “A Bayesian network-based approach to the critical infrastructure interdependencies analysis.” IEEE Syst. J. 6 (3): 510–519.
Di Muro, M. A., C. E. La Rocca, H. E. Stanley, S. Havlin, and L. A. Braunstein. 2016. “Recovery of interdependent networks.” Sci. Rep. 6: 22834.
Dottle, R., R. King, and E. Koeze. 2017. “Hurricane Harvey's impact—And how it compares to other storms.” FiveThirtyEight. September 2017. Accessed Dec. 10, 2017. https://fivethirtyeight.com/features/hurricane-harveys-impact-and-how-it-compares-to-other-storms/.
Dow, K., and S. L. Cutter. 2002. “Emerging hurricane evacuation issues: Hurricane Floyd and South Carolina.” Nat. Hazard. Rev. 3 (1): 12–18.
Dudenhoeffer, D. D., M. R. Permann, and R. L. Boring. 2006a. “Decision consequence in complex environments: Visualizing decision impact.” In Joint Emergency Preparedness and Response/Robotic and Remote Systems Topical Meeting, Salt Lake City, Utah: American Nuclear Society (ANS), 211–218.
Dudenhoeffer, D. D., M. R. Permann, and M. Manic. 2006b. “CIMS: A framework for infrastructure interdependency modeling and analysis.” In Proc., 2006 Winter Simulation Conf., edited by L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, 478–485. Piscataway, NJ: IEEE.
Dudenhoeffer, D. D., M. R. Permann, S. Woolsey, R. Timpany, C. Miller, A. McDermott, and M. Manic. 2007. “Interdependency modeling and emergency response.” In Proc., 2007 Summer Computer Simulation Conf., 230–1237. San Diego, CA: Society for Computer Simulation International.
Dueñas-Osorio, L., J. I. Craig, and B. J. Goodno. 2004. “Probabilistic response of interdependent infrastructure networks.” In Proc., 2nd Annual Meeting of the Asian-Pacific Network of Centers for Earthquake Engineering Research, 28–30. Honolulu, Hawaii: ANCER.
Dueñas-Osorio, L., J. I. Craig, and B. J. Goodno. 2007. “Seismic response of critical interdependent networks.” Earthquake Eng. Struct. Dyn. 36 (2): 285–306. Danvers, MA: Wiley.
Dueñas-Osorio, L., and A. Kwasinski. 2012. “Quantification of lifeline system interdependencies after the 27 February 2010 Mw 8·8 Offshore Maule, Chile, Earthquake.” Earthquake Spectra 28 (S1): 581–603. Oakland, CA: EERI.
Dunn, S., and S. M. Wilkinson. 2016. “Increasing the resilience of air traffic networks using a network graph theory approach.” Transp. Res. Part E Logist. Transp. Rev. 90: 39–50.
Ehlen, E. A., and A. J. Scholand. 2005. “Modeling interdependencies between power and economic sectors using the N-ABLE agent based model.” In IEEE Power Engineering Society General Meeting, 2842–2846. Piscataway, NJ: IEEE.
Ellingwood, B. R., H. Cutler, P. Gardoni, W. G. Peacock, J. W. van de Lindt, and N. Wang. 2016. “The Centerville virtual community: A fully integrated decision model of interacting physical and social infrastructure systems.” Sustainable Resilient Infrastruct. 1 (3–4): 95–107.
ESA (Economics & Statistics Administration). 2013. Economic impact of hurricane sandy: Potential economic activity lost and gained in New Jersey and New York. Washington, DC: US Department of Commerce, ESA.
Eusgeld, I., C. Nan, and S. Dietz. 2011. “System-of-systems’ approach for interdependent critical infrastructures.” Reliab. Eng. Syst. Saf. 96 (6): 679–686.
Ezell, B. C., J. V. Farr, and I. Wiese. 2000a. “Infrastructure risk analysis model.” J. Infrastruct. Syst. 6 (3): 114–117.
Ezell, B. C., J. V. Farr, and I. Wiese. 2000b. “Infrastructure risk analysis of municipal water distribution system.” J. Infrastruct. Syst. 6 (3): 118–122.
Fagiolo, G., A. Moneta, and P. Windrum. 2007. “A critical guide to empirical validation of agent-based models in economics: Methodologies, procedures, and open problems.” Comput. Econ. 30 (3): 195–226.
Farmer, J. D., and D. Foley. 2009. “The economy needs agent-based modelling.” Nature 460 (7256): 685–686.
FEMA (Federal Emergency Management Agency). 2018. Hazus: FEMA's methodology For estimating potential losses from disasters. Washington, DC: FEMA.
Feng, K., N. Wang, Q. Li, and P. Lin. 2017. “Measuring and enhancing resilience of building portfolios considering the functional interdependence among community sectors.” Struct. Saf. 66: 118–126.
Ferdous, R., F. Khan, R. Sadiq, P. Amyotte, and B. Veitch. 2011. “Fault and event tree analyses for process systems risk analysis: Uncertainty handling formulations.” Risk Anal. 31 (1): 86–107.
Ferrario, E., and E. Zio. 2012. “A system-of-systems framework of nuclear power plant probabilistic seismic hazard analysis by fault tree analysis and Monte Carlo simulation.” In Proc., 11th Int. Probabilistic Safety Assessment and Management Conf. and the Annual European Safety and Reliability Conf. 2012. Redhook, NY: Curran Associates, Inc.
Forrester, J. 1958. “Industrial dynamics—A major breakthrough for decision makers.” Harvard Bus. Rev. 35 (4): 37–66.
Forrester, J. 1961. Industrial dynamics. Cambridge, MA: MIT Press.
Fortino, G., A. Garro, and W. Russo. 2005. “A discrete-event simulation framework for the validation of agent-based and multi-agent systems.” In WOA 2005: Dagli Oggetti Agli Agenti. 6th AI*IA/TABOO Joint Workshop “From Objects to Agents”: Simulation and Formal Analysis of Complex Systems, 75–84. Camerino, Italy: Pitagora Editrice Bologna.
Franchina, L., M. Carbonelli, L. Gratta, M. Crisci, and D. Perucchini. 2011. “An impact-based approach for the analysis of cascading effects in critical infrastructures.” Int. J. Crit. Infrastruct. 7 (1): 73–90.
Galbusera, L., and G. Giannopoulos. 2016. Re-engineering of GRRASP to support distributed and collaborative analysis of critical infrastructures. JRC Technical Rep. No. EUR 28072 EN. Ispra, Italy: JRC Science Hub.
Gao, J., S. V. Buldyrev, S. Havlin, and H. E. Stanley. 2011. “Robustness of a network of networks.” Phys. Rev. Lett. 107 (19): 195701.
GoC (Government of Canada). 2009. “National strategy for critical infrastructure.” Government of Canada. Accessed May 1, 2018. https://www.publicsafety.gc.ca/cnt/rsrcs/pblctns/srtg-crtcl-nfrstrctr/index-en.aspx.
Ge, Y., X. Xing, and Q. Cheng. 2010. “Simulation and analysis of infrastructure interdependencies using a Petri net simulator in a geographical information system.” Int. J. Appl. Earth Obs. Geoinf. 12 (6): 419–430.
Goh, S., K. Lee, J. S. Park, and M. Y. Choi. 2012. “Modification of the gravity model and application to the metropolitan Seoul subway system.” Phys. Rev. E 86 (2): 026102.
González, A. D., and L. Duenas-Osorio. 2016. “Failure and recovery database for a system of interdependent networks.” Accessed Dec. 10, 2017. https://duenas-osorio.rice.edu/sites/g/files/bxs3351/files/2020-02/ReadMe_Resilience_Rice_20161011_v1.pdf.
González, A. D., L. Dueñas-Osorio, M. Sánchez-Silva, and A. L. Medaglia. 2016. “The interdependent network design problem for optimal infrastructure system restoration.” Comput.-Aided Civ. Infrastruct. Eng. 31 (5): 334–350.
Goodman, J. D., and C. Moynihan. 2012. “Patients evacuated from NYU langone after power failure.” The New York Times, Oct. 30, 2012.
Greenlaw, S. A. 2014. “The aggregate demand/supply model.” Chap. 11 in Principles of economics. S. A. Greenlaw and D. Shapiro, eds., 269–296. Houston, TX: Openstax College at Rice University.
Guidotti, R., H. Chmielewski, V. Unnikrishnan, P. Gardoni, T. McAllister, and J. van de Lindt. 2016. “Modeling the resilience of critical infrastructure: The role of network dependencies.” Sustainable Resilient Infrastruct. 1 (3–4): 153–168.
Guidotti, R., P. Gardoni, and Y. Chen. 2017. “Network reliability analysis with link and nodal weights and auxiliary nodes.” Struct. Saf. 65: 12–26.
Haimes, Y. Y., B. M. Horowitz, J. H. Lambert, J. Santos, K. Crowther, and C. Lian. 2005a. “Inoperability input-output model for interdependent infrastructure sectors. II: Case studies.” J. Infrastruct. Syst. 11 (2): 80–92.
Haimes, Y. Y., B. M. Horowitz, J. H. Lambert, J. R. Santos, C. Lian, and K. G. Crowther. 2005b. “Inoperability input-output model for interdependent infrastructure sectors. I: Theory and methodology.” J. Infrastruct. Syst. 11 (2): 67–79.
Haimes, Y. Y., and P. Jiang. 2001. “Leontief-based model of risk in complex interconnected infrastructures.” J. Infrastruct. Syst. 7 (1): 1–12.
Han, S. Y., and DeLaurentis, D. (2013). “Development interdependency modeling for system-of-systems (SoS) using Bayesian networks: SoS management strategy planning.”’ Procedia Comput. Sci. 16, 698–707.
Han, X.-P., Q. Hao, B.-H. Wang, and T. Zhou. 2011. “Origin of the scaling law in human mobility: Hierarchy of traffic systems.” Phys. Rev. E 83 (3): 036117.
Handford, D., and A. Rogers. 2011. “Modelling driver interdependent behaviour in agent-based traffic simulations for disaster management.” In Advances on practical applications of agents and multiagent systems, advances in intelligent and soft computing, Y. Demazeau, M. Pěchoucěk, J. M. Corchado, and J. B. Pérez, eds., 163–172. Berlin: Springer.
Haraguchi, M., and S. Kim. 2016. “Critical infrastructure interdependence in New York City during Hurricane Sandy.” Int. J. Disaster Resilience Built Environ. 7 (2): 133–143.
He, X., and E. J. Cha. 2018. “Modeling the damage and recovery of interdependent critical infrastructure systems from natural hazards.” Reliab. Eng. Syst. Saf. 177: 162–175.
Heglund, J., K. M. Hoplinson, and H. T. Tran. 2020. “Social sensing: Towards social media as a sensor for resilience in power systems and other critical infrastructures.” Sustainable Resilient Infrastruct. 6 (1–2): 94–106.
Hernandez-Fajardo, I., and L. Dueñas-Osorio. 2013. “Probabilistic study of cascading failures in complex interdependent lifeline systems.” Reliab. Eng. Syst. Saf. 111: 260–272.
Holden, R., D. V. Val, R. Burkhard, and S. Nodwell. 2013. “A network flow model for interdependent infrastructures at the local scale.” Saf. Sci. 53: 51–60.
Holmgren, A. J. 2006. “Using graph models to analyze the vulnerability of electric power networks.” Risk Anal. 26 (4): 955–969.
Honda, S. 2012. “NYC hospitals evacuated for superstorm.” Accessed July 15, 2017. http://www.cbsnews.com/pictures/nyc-hospitals-evacuated-for-superstorm/.
Hu, A., W. Xie, N. Li, X. Xu, Z. Ji, and J. Wu. 2014. “Analyzing regional economic impact and resilience: A case study on electricity outages caused by the 2008 snowstorms in southern China.” Nat. Hazard. 70 (2): 1019–1030.
Huang, C.-N., J. J. H. Liou, and Y.-C. Chuang. 2014. “A method for exploring the interdependencies and importance of critical infrastructures.” Knowledge-Based Syst. 55: 66–74.
IRGC (International Risk Governance Council). 2006. Social vulnerabilities from coupled critical infrastructures. Geneva: IRGC.
Johansen, C., and I. Tien. 2017. “Probabilistic multi-scale modeling of interdependencies between critical infrastructure systems for resilience.” Sustainable Resilient Infrastruct. 3 (1): 1–15.
Johansson, J., and H. Hassel. 2010. “An approach for modelling interdependent infrastructures in the context of vulnerability analysis.” Reliab. Eng. Syst., 95 (12): 1335–1344.
Jovanović, A., P. Klimek, O. Renn, R. Schneider, K. Øien, J. Brown, et al. 2020. “Assessing resilience of healthcare infrastructure exposed to COVID-19: Emerging risks, resilience indicators, interdependencies and international standards.” Environ. Syst. Decis. 40 (2): 252–286.
Kajitani, Y., and S. Sagai. 2009. “Modelling the interdependencies of critical infrastructures during natural disasters: A case of supply, communication and transportation infrastructures.” Int. J. Crit. Infrastruct. 5 (1–2): 38–50.
Kameshwar, S., D. T. Cox, A. R. Barbosa, K. Farokhnia, H. Park, M. S. Alam, and J. W. van de Lindt. 2019. “Probabilistic decision-support framework for community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network.” Reliab. Eng. Syst. Saf. 191: 106568.
Kammouh, O., A. Zamani-Noori, G. P. Cimellaro, and S. A. Mahin. 2019. “Resilience evaluation of urban communities based on PEOPLES framework.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 5 (1): 04019002.
Kang, C., Y. Liu, D. Guo, and K. Qin. 2015. “A generalized radiation model for human mobility: Spatial scale, searching direction and trip constraints.” PLoS One 10 (11): e0143500.
Karamlou, A., and P. Bocchini. 2016. “Sequencing algorithm with multiple-input genetic operators: Application to disaster resilience.” Eng. Struct. 117: 591–602.
Karamlou, A., and P. Bocchini. 2017. “From component damage to system-level probabilistic restoration functions for a damaged bridge.” J. Infrastruct. Syst. 23 (3): 04016042.
Karamlou, A., L. Ma, W. Sun, and P. Bocchini. 2017. “Generalized probabilistic restoration prediction.” In Proc., 12th Int. Conf. on Structural Safety and Reliability, 3249–3258. Vienna, Austria: TU Verlag.
Kelic, A., D. E. Warren, and L. R. Phillips. 2008. Cyber and physical infrastructure interdependencies. Rep. No. SAND2008-6192. Albuquerque, NM: Sandia National Laboratories.
Kelly, R. A., A. J. Jakeman, O. Barreteau, M. E. Borsuk, S. ElSawah, S. H. Hamilton, et al. 2013. “Selecting among five common modelling approaches for integrated environmental assessment and management.” Environ. Modell. Software 47: 159–181.
Kelly, S. 2015. “Estimating economic loss from cascading infrastructure failure: A perspective on modelling interdependency.” Infrastruct. Complexity 2 (1): 7.
Kim, J., V. Sridhara, and S. Bohacek. 2009. “Realistic mobility simulation of urban mesh networks.” Ad Hoc Networks 7 (2): 411–430.
Kjølle, G. H., I. B. Utne, and O. Gjerde. 2012. “Risk analysis of critical infrastructures emphasizing electricity supply and interdependencies.” Reliab. Eng. Syst. Saf. 105: 80–89.
Koliou, M., J. W. van de Lindt, T. P. McAllister, B. R. Ellingwood, M. Dillard, and H. Cutler. 2020. “State of the research in community resilience: Progress and challenges.” Sustainable Resilient Infrastruct. 5 (3): 131–151.
Konovalchuk, V. V. 2006. “A computable general equilibrium analysis of the economic effects of the Chernobyl nuclear disaster.” Ph.D. thesis, Department of Agricultural, Environmental and Regional Economics, Pennsylvania State University.
Kotzanikolaou, P., M. Theoharidou, and D. Gritzalis. 2013. “Cascading effects of common-cause failures in critical infrastructures.” In Critical Infrastructure Protection VII, IFIP Advances in Information and Communication Technology, edited by J. Butts and S. Shenoi, 171–182. Berlin: Springer.
Kujawski, E. 2006. “Multi-period model for disruptive events in interdependent systems.” Syst. Eng. 9 (4): 281–295.
Labaka, L., J. Hernantes, and J. M. Sarriegi. 2016. “A holistic framework for building critical infrastructure resilience.” Technol. Forecasting Social Change 103: 21–33.
Lahr, M., and E. Dietzenbacher. 2001. Input-output analysis: Frontiers and extensions. Macmillan, UK: Palgrave.
Lange, D., D. Honfi, M. Theocharidou, G. Giannopoulos, N. K. Reitan, and K. Storesund. 2017. “Critical infrastructure risk assessment frameworks.” In Proc., 27th European Safety and Reliability Conf., edited by M. Čepin and R. Briš, 1031–1038. London, UK: CRC Press.
Laugé, A., J. Hernantes, and J. M. Sarriegi. 2015. “Critical infrastructure dependencies: A holistic, dynamic and quantitative approach.” Int. J. Crit. Infrastruct. Prot. 8: 16–23.
Lee, E. E., II, J. E. Mitchell, and W. A. Wallace. 2007. “Restoration of services in interdependent infrastructure systems: A network flows approach.” IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 37 (6): 1303–1317.
Lee, B. H. Y., and P. Waddell. 2010. “Residential mobility and location choice: A nested logit model with sampling of alternatives.” Transportation 37 (4): 587–601.
Lee, S., Y. Liu, and N. Paltrinieri. 2017. “Modelling hazardous event scenarios for decision support.” In Safety and reliability. Theory and applications, M. Cepin and R. Bris, eds., 207. Boca Raton, FL: CRC Press.
Lee, W. S., D. L. Grosh, F. A. Tillman, and C. H. Lie. 1985. “Fault tree analysis, methods, and applications: A review.” IEEE Trans. Reliab. R-34 (3): 194–203.
Leontief, W. W. 1949. The structure of American economy, 1919–1939. London: Oxford University Press.
Leontief, W. W. 1951. “Input-output economics.” Sci. Am. 185 (4): 15–21.
Leung, M., Y. Y. Haimes, and J. R. Santos. 2007. “Supply- and output-side extensions to the inoperability input–output model for interdependent infrastructures.” J. Infrastruct. Syst. 13 (4): 299–310.
Li, Y., Y. Chen, N. Tang, and L. Yang. 2016. “Modeling and analysis of failure mechanism dependence based on Petri net.” In Proc., 2016 Prognostics and System Health Management Conf., –7. Piscataway, NJ: IEEE.
Lian, C., and Y. Y. Haimes. 2006. “Managing the risk of terrorism to interdependent infrastructure systems through the dynamic inoperability input–output model.” Syst. Eng. 9 (3): 241–258.
Lin, S.-Y., W.-C. Chuang, L. Xu, S. El-Tywil, S. M. J. Spence, V. Kamat, C. C. Menassa, and J. P. McComick. 2019. “Framework for modeling interdependent effects in natural disasters: Application to wind engineering.” J. Struct. Eng. 145 (5): 04019025.
Links, J. M., B. S. Schwartz, S. Lin, N. Kanarek, J. Mitrani-Reiser, T. K. Sell, et al. 2018. “COPEWELL: A conceptual framework and system dynamics model for predicting community functioning and resilience after disasters.” Disaster Med. Public Health Preparedness 12 (1): 127–137.
Liu, M., and W. Xu. 2013. “The approach for critical infrastructure sectors classification using the inoperability input-output model (IIM).” In Vol. 3 of Proc., 6th Int. Conf. on Information Management, Innovation Management and Industrial Engineering, 7–10. Piscataway, NJ: IEEE.
Logi, F., and S. G. Ritchie. 2002. “A multi-agent architecture for cooperative inter-jurisdictional traffic congestion management.” Transp. Res. Part C: Emerging Technol. 10 (5–6): 507–527.
Luiijf, E., A. Nieuwenhuijs, M. Klaver, M. van Eeten, and E. Cruz. 2008. “Empirical findings on critical infrastructure dependencies in Europe.” In Critical information infrastructure security, Lecture Notes in Computer Science, R. Setola and S. Geretshuber, eds., 302–310. Berlin: Springer.
Lundberg, J., and B. J. Johansson. 2015. “Systemic resilience model.” Reliab. Eng. Syst. Saf. 141: 22–32.
Lundberg, J., and R. Woltjer. 2013. “The resilience analysis matrix (RAM): Visualizing functional dependencies in complex socio-technical systems.” In Proc., 5th Resilience Engineering Association Symp. Soesterberg, 03–108. Sophia Antipolis Cedex, France: Resilience Engineering Association.
Macal, C. M. 2016. “Everything you need to know about agent-based modelling and simulation.” J. Simul. 10 (2): 144–156.
Macal, C. M., and M. J. North. 2010. “Tutorial on agent-based modelling and simulation.” J. Simul. 4 (3): 151–162.
Macal, C. M., and M. J. North. 2011. “Introductory tutorial: Agent-based modeling and simulation.” In Proc., 2011 Winter Simulation Conf., 451–1464. Piscataway, NJ: IEEE.
Makowsky, M. 2006. “An agent-based model of mortality shocks, intergenerational effects, and urban crime.” J. Artif. Soc. Soc. Simul. 9 (2): 7.
Manzo, R., B. Piccoli, and L. Rarità. 2012. “Optimal distribution of traffic flows in emergency cases.” Eur. J. Appl. Math. 23 (4): 515–535.
Mazumder, R. K., A. M. Salman, Y. Li, and X. Yu. 2018. “Performance evaluation of water distribution systems and asset management.” J. Infrastruct. Syst. 24 (3): 03118001.
Mazumder, R. K., A. M. Salman, Y. Li, and X. Yu. 2019. “Reliability analysis of water distribution systems using physical probabilistic pipe failure method.” J. Water Resour. Plann. Manage. 145 (2): 04018097.
McCarthy, R. W., J. M. Ogden, and D. Sperling. 2007. “Assessing reliability in energy supply systems.” Energy Policy 35 (4): 2151–2162.
McDaniels, T., S. Chang, K. Peterson, J. Mikawoz, and D. Reed. 2007. “Empirical framework for characterizing infrastructure failure interdependencies.” J. Infrastruct. Syst. 13 (3): 175–184.
McPherson, T. N., and M. Witkowski. 2005. “Modeling urban water demand within a GIS using a population bomity model.” In Proc., World Water and Environmental Resource Congress 2005. Reston, VA: ASCE.
Mendonça, D., E. E. Lee, and W. A. Wallace. 2004. “Impact of the 2001 World Trade Center attack on critical interdependent infrastructures.” In Vol. 5 of Proc., 2004 IEEE Int. Conf. on Systems, Man and Cybernetics, 4053–4058. Piscataway, NJ: IEEE.
Mendonça, D., and W. A. Wallace. 2006. “Impacts of the 2001 World Trade Center Attack on New York city critical infrastructures.” J. Infrastruct. Syst. 12 (4): 260–270.
Messner, S., and L. Schrattenholzer. 2000. “MESSAGE–MACRO: Linking an energy supply model with a macroeconomic module and solving it iteratively.” Energy 25 (3): 267–282.
Miles, S. B., and S. E. Chang. 2011. “ResilUS: A community based disaster resilience model.” Cartogr. Geogr. Inf. Sci. 38 (1): 36–51.
Miller, R. E., K. R. Polenske, and A. Z. Rose. 1989. Frontiers of input–output analysis. Oxford, UK: Oxford University Press.
Min, H.-S. J., W. Beyeler, T. Brown, Y. J. Son, and A. T. Jones. 2007. “Toward modeling and simulation of critical national infrastructure interdependencies.” IIE Trans. 39 (1): 57–71.
Mitsova, D. 2018. “Integrative interdisciplinary approaches to critical infrastructure interdependency analysis.” Risk Anal. 41 (7): 1111–1117.
Mitsova, D., A. Sapat, A.-M. Esnard, and A. J. Lamadrid. 2020. “Evaluating the impact of infrastructure interdependencies on the emergency services sector and critical support functions using an expert opinion survey.” J. Infrastruct. Syst. 26 (2): 04020015.
Moon, J., and T. Lee. 2012. “Identifying critical infrastructure interdependencies for healthcare operations during extreme events.” In Proc., Int. Conf. on Complex Sciences, 256–266. Cham, Switzerland: Springer.
Morrison, P. A. 1972. “Theoretical issues in the design of population mobility models.” Environ. Plann. A: Economy Space 5 (1): 125–134.
Nan, C., and G. Sansavini. 2016. “Developing an agent-based hierarchical modeling approach to assess human performance of infrastructure systems.” Int. J. Ind. Ergon. 53: 340–354.
Niknejad, A., and D. Petrovic. 2016. “A fuzzy dynamic inoperability input–output model for strategic risk management in global production networks.” Int. J. Prod. Econ. 179: 44–58.
NIST (National Institute of Standards and Technology). 2016. Community resilience planning guide for buildings and infrastructure systems. NIST Special Publication No. 1190. Gaithersburg, MD: NIST, US Department of Commerce.
Nivolianitou, Z. S., V. N. Leopoulos, and M. Konstantinidou. 2004. “Comparison of techniques for accident scenario analysis in hazardous systems.” J. Loss Prev. Process Ind. 17 (6): 467–475.
North, M. 2001a. “Smart II: The spot market agent research tool version 2.0.” Nat. Resourc. Environ 8 (1): 11.
North, M. J. 2001b. “Toward strength and stability: Agent-based modeling of infrastructure markets.” Social Sci. Comput. Rev. 19 (3): 307–323.
North, M. J. 2001c. “Multi-agent social and organizational modeling of electric power and natural gas markets.” Comput. Math. Org. Theory 7 (4): 331–337.
Nývlt, O., and M. Rausand. 2012. “Dependencies in event trees analyzed by Petri nets.” Reliab. Eng. Syst. Saf. 104: 45–57.
O'Rourke, T. D. 2008. “Critical infrastructure, interdependencies, and resilience.” Bridge 37 (1): 22–29.
OCIA (Office of Cyber and Infrastructure Analysis). 2017. Executive summary: OCIA hurricane Irma products. Washington, DC: OCIA, Department of Homeland Security.
Oliva, G., S. Panzieri, and R. Setola. 2010. “Agent-based input–output interdependency model.” Int. J. Crit. Infrastruct. Prot. 3 (2): 76–82.
Oliva, G., and R. Setola. 2015. “Infrastructure interdependencies: Modeling and analysis.” In Intelligent monitoring, control, and security of critical infrastructure systems, studies in computational intelligence, E. Kyriakides and M. Polycarpou, eds., 239–261. Berlin: Springer.
Omidvar, B., M. H. Malekshah, and H. Omidvar. 2014. “Failure risk assessment of interdependent infrastructures against earthquake, a petri net approach: Case study—Power and water distribution networks.” Nat. Hazard. 71 (3): 1971–1993.
Orsi, M. J., and J. R. Santos. 2010. “Incorporating time-varying perturbations into the dynamic inoperability input–output model.” IEEE Trans. Syst. Man Cybern. Part A Syst. Humans 40 (1): 100–106.
Ouyang, M. 2014. “Review on modeling and simulation of interdependent critical infrastructure systems.” Reliab. Eng. Syst. Saf. 121: 43–60.
Ouyang, M. 2017. “A mathematical framework to optimize resilience of interdependent critical infrastructure systems under spatially localized attacks.” Eur. J. Oper. Res. 262 (3): 1072–1084.
Ouyang, M., and L. Dueñas-Osorio. 2011. “An approach to design interface topologies across interdependent urban infrastructure systems.” Reliab. Eng. Syst. Saf. 96 (11): 1462–1473.
Ouyang, M., L. Hong, Z.-J. Mao, M.-H. Yu, and F. Qi. 2009. “A methodological approach to analyze vulnerability of interdependent infrastructures.” Simul. Modell. Pract. Theory 17 (5): 817–828.
Ouyang, M., and Z. Wang. 2015. “Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis.” Reliab. Eng. Syst. Saf. 141: 74–82.
Panzieri, S., R. Setola, and G. Ulivi. 2004. “An agent based simulator for critical interdependent infrastructures.” In Securing Critical Infrastructures, 25–27. Grenoble, France: CRIS.
Paredes-Toro, R., L. Dueñas-Osorio, and G. P. Cimellaro. 2014. “Uncovering the heterogeneity of spatial lifeline system interdependencies.” In Proc., 10th US National Conf. on Earthquake Engineering: Frontiers of Earthquake Engineering. Oakland, CA: Earthquake Engineering Research Institute.
Parolia, N., J. J. Jiang, G. Klein, and T. S. Sheu. 2011. “The contribution of resource interdependence to IT program performance: A social interdependence perspective.” Int. J. Project Manage. 29 (3): 313–324.
Parshani, R., S. V. Buldyrev, and S. Havlin. 2010. “Interdependent networks: Reducing the coupling strength leads to a change from a first to second order percolation transition.” Phys. Rev. Lett. 105 (4): 048701.
Parshani, R., C. Rozenblat, D. Ietri, C. Ducruet, and S. Havlin. 2011. “Inter-similarity between coupled networks.” Europhys. Lett. 92 (6): 68002.
Pederson, P., D. Dudenhoeffer, S. Hartley, and M. Permann. 2006. Critical infrastructure interdependency modeling: A survey of U.S. and international research. Idaho Falls, ID: Idaho National Laboratory.
Permann, M. R. 2007. “Genetic algorithms for agent-based infrastructure interdependency modeling and analysis.” In Vol. 2 of Proc., 2007 Spring Simulation Multiconference, Society for Computer Simulation Int., 69–177. San Diego, CA: Society for Computer Simulation International.
Phan, T. D., O. Sahin, and J. C. R. Smart. 2016. “System dynamics and Bayesian network models for vulnerability and adaptation assessment of a coastal water supply and demand system.” In Proc., 8th Int. Congress on Environmental Modelling and Software. Toulouse, France: International Environmental Modelling and Software Society.
Plessis, R. D., J. Sutherland, L. Gordon, and H. Gibson. 2015. “‘The confidence to know I can survive’: Resilience and recovery in post-quake Christchurch.” Kōtuitui 10 (2): 153–165.
Poljanšek, K., F. Bono, and E. Gutiérrez. 2012. “Seismic risk assessment of interdependent critical infrastructure systems: The case of European gas and electricity networks.” Earthquake Eng. Struct. Dyn. 41 (1): 61–79.
Portante, E. C., J. A. Kavicky, B. A. Craig, L. E. Talaber, and S. M. Folga. 2017a. “Modeling electric power and natural gas system interdependencies.” J. Infrastruct. Syst. 23 (4): 04017035.
Portante, E. C., J. A. Kavicky, B. A. Craig, L. E. Talaber, and S. M. Folga. 2017b. “Simulation of the January 2014 polar vortex and its impacts on interdependent electric-natural gas infrastructure.” In Proc., 2017 Winter Simulation Conf., 4117–4128. Piscataway, NJ: IEEE.
PPD (Presidential Policy Directive). 2013. “Presidential policy directive/PPD-21—Critical infrastructure security and resilience.” The White House, February 12, 2013.
PRAISys. 2020. “Probabilistic resilience assessment of interdependent systems (PRAISys).” Accessed May 1, 2020. http://praisys.org/.
PSC (Public Safety Canada). 2018. Action plan for critical infrastructure (2018–2020). PS4-66/2018E-PDF. Ottawa, ON: PSC.
Rao, K. D., V. Gopika, V. V. S. S. Rao, H. S. Kushwaha, A. K. Verma, and A. Srividya. 2009. “Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment.” Reliab. Eng. Syst. Saf. 94 (4): 872–883.
Reed, D., K. C. Kapur, and R. D. Christie. 2009. “Methodology for assessing the resilience of networked infrastructure.” IEEE Syst. J. 3 (2): 174–180.
Reed, D., S. Wang, K. Kapur, and C. Zheng. 2016. “Systems-based approach to interdependent electric power delivery and telecommunications infrastructure resilience subject to weather-related hazards.” J. Struct. Eng. 142 (8): C4015011.
Rehak, D., and M. Hromada. 2018. “Failures in a critical infrastructure system.” Chap. 5 in System of system failures, T. Nakamura, ed., 75–93. London: IntechOpen.
Rehak, D., J. Markuci, M. Hromada, and K. Barcova. 2016. “Quantitative evaluation of the synergistic effects of failures in a critical infrastructure system.” Int. J. Crit. Infrastruct. Prot. 14: 3–17.
Renschler, C., A. E. Frazier, L. A. Arendt, G.-P. Cimellaro, A. M. Reinhorn, and M. Bruneau. 2010a. “Developing the “PEOPLES” resilience framework for defining and measuring disaster resilience at the community scale.” In Proc., 9th US National and 10th Canadian Conf. on Earthquake Engineering, 25–29. Oakland, CA: EERI.
Renschler, C., A. E. Frazier, L. A. Arendt, G.-P. Cimellaro, A. M. Reinhorn, and M. Bruneau. 2010b. A framework for defining and measuring resilience at the community scale: The PEOPLES resilience framework. Buffalo, NY: Multidisciplinary Center for Earthquake Engineering Research.
Rinaldi, S. M. 2004. “Modeling and simulating critical infrastructures and their interdependencies.” In Proc., 37th Annual Hawaii Int. Conf. on System Sciences, –8. Piscataway, NJ: IEEE.
Rinaldi, S. M., J. P. Peerenboom, and T. K. Kelly. 2001. “Identifying, understanding, and analyzing critical infrastructure interdependencies.” IEEE Control Syst. 21 (6): 11–25.
Rong, M., C. Han, and L. Liu. 2010. “Critical infrastructure failure interdependencies in the 2008 Chinese winter storms.” In Proc., 2010 Int. Conf. on Management and Service Science, –4. Piscataway, NJ: IEEE.
Rose, A. 1995. “Input-output economics and computable general equilibrium models.” Structural Change Econ. Dyn. 6 (3): 295–304.
Rose, A. Z. 2009. “A framework for analyzing the total economic impacts of terrorist attacks and natural disasters.” J. Homeland Secur. Emergency Manage. 6 (1): 1–27.
Rose, A., and S. Y. Liao. 2005. “Modeling regional economic resilience to disasters: A computable general equilibrium analysis of water service disruptions.” J. Reg. Sci. 45 (1): 75–112.
Rose, A., S.-Y. Liao, and A. Bonneau. 2011. “Regional economic impacts of a Verdugo scenario earthquake disruption of Los Angeles water supplies: A computable general equilibrium analysis.” Earthquake Spectra 27 (3): 881–906.
Rose, A., and D. Lim. 2002. “Business interruption losses from natural hazards: Conceptual and methodological issues in the case of the Northridge earthquake.” Global Environ. Change Part B: Environ. Hazards 4 (1): 1–14.
Rose, A., G. Oladosu, and S.-Y. Liao. 2007. “Business interruption impacts of a terrorist attack on the electric power system of Los Angeles: Customer resilience to a total blackout.” Risk Anal. 27 (3): 513–531.
Sadiq, R., E. Saint-Martin, and Y. Kleiner. 2008. “Predicting risk of water quality failures in distribution networks under uncertainties using fault-tree analysis.” Urban Water J. 5 (4): 287–304.
Sanchez, J., R. Caire, and N. Hadjsaid. 2013. “Application of Hermitian adjacency matrices for coupled infrastructures interdependencies analysis.” In IEEE PES Innovative Smart Grid Technologies Europe, –5. Piscataway, NJ: IEEE.
Santella, N., L. J. Steinberg, and K. Parks. 2009. “Decision making for extreme events: Modeling critical infrastructure interdependencies to aid mitigation and response planning.” Rev. Policy Res. 26 (4): 409–422.
Santos, J. R. 2005. “Inoperability input–output modeling of disruptions to interdependent economic systems.” Syst. Eng. 9 (1): 20–34.
Santos, J. R., and Y. Y. Haimes. 2004. “Modeling the demand reduction input–output (I–O) inoperability due to terrorism of interconnected infrastructures.” Risk Anal. 24 (6): 1437–1451.
Santos, J. R., Y. Y. Haimes, and J. G. Voeller. 2008. “Input–output modeling for interdependent infrastructure sectors.” In Wiley handbook of science and technology for homeland security, J. G. Voeller, ed., 1–14. Hoboken, NJ: Wiley.
Santos, J. R., K. D. S. Yu, S. A. T. Pagsuyoin, and R. R. Tan. 2014. “Time-varying disaster recovery model for interdependent economic systems using hybrid input–output and event tree analysis.” Econ. Syst. Res. 26 (1): 60–80.
Schneider, C. M., N. Yazdani, N. A. M. Araújo, S. Havlin, and H. J. Herrmann. 2013. “Towards designing robust coupled networks.” Sci. Rep. 3 (1): 1969.
Scrieciu, S. S. 2007. “The inherent dangers of using computable general equilibrium models as a single integrated modelling framework for sustainability impact assessment. A critical note on Böhringer and Löschel (2006).” Ecol. Econ. 60 (4): 678–684.
Sedzro, K. S., L. Zuluaga, and A. L. Lamadrid. 2018. “Allocation of resources using a microgrid formation approach for resilient electric grids.” IEEE Trans. Power Syst. 33 (3): 2633–2643.
Setola, R., S. De Porcellinis, and M. Sforna. 2009. “Critical infrastructure dependency assessment using the input–output inoperability model.” Int. J. Crit. Infrastruct. Prot. 2 (4): 170–178.
Shafieezadeh, A., and L. I. Bruden. 2014. “Scenario-based resilience assessment framework for critical infrastructure systems: Case study for seismic resilience of seaports.” Reliab. Eng. Syst. Saf. 132: 207–219.
Sharkey, T. C., B. C. Cavdaroglu, H. Nguyen, J. Holman, J. E. Mitchell, and W. A. Wallace. 2015. “Interdependent network restoration: On the value of information-sharing.” Eur. J. Oper. Res. 244 (1): 309–321.
Sharkey, T. C., S. G. Nurrer, H. Nguyen, J. H. Chow, J. E. Mitchell, and W. A. Wallace. 2016. “Identification and classification of restoration interdependencies in the wake of Hurricane Sandy.” J. Infrastruct. Syst. 22 (1): 04015007.
Sharma, N., F. Nocera, and P. Gardoni. 2020. “Classification and mathematical modeling of infrastructure interdependencies.” Sustainable Resilience Infrastruct. 6 (1–2): 4–25.
Shekhtman, L. M., S. Shai, and S. Havlin. 2015. “Resilience of networks formed of interdependent modular networks.” New J. Phys. 17 (12): 123007.
Shinozuka, M., S. E. Chang, T.-C. Cheng, M. Feng, T. D. O'Rourke, M. A. Saadeghvaziri et al. 2003a. “Resilience of integrated power and water systems.” In Seismic Evaluation and Retrofit of Lifeline Systems, 65–86. Buffalo, NY: MCEER.
Shinozuka, M., Y. Murachi, X. Dong, Y. Zhou, and M. J. Orlikowski. 2003b. “Effect of seismic retrofit of bridges on transportation networks.” Earthquake Eng. Eng. Vib. 2 (2): 169–179.
Shuang, Q., M. Zhang, and Y. Yuan. 2014. “Node vulnerability of water distribution networks under cascading failures.” Reliab. Eng. Syst. Saf. 124: 132–141.
Singh, A. N., M. P. Gupta, and A. Ojha. 2014. “Identifying critical infrastructure sectors and their dependencies: An Indian scenario.” Int. J. Crit. Infrastruct. Prot. 7 (2): 71–85.
Smith, A. M., A. D. González, L. Dueñas-Osorio, and R. M. D'Souza. 2020. “Interdependent network recovery games.” Risk Anal. 40 (1): 134–152.
Stergiopoulos, G., P. Kotzanikolaou, M. Theocharidou, G. Lykou, and D. Gritzalis. 2016. “Time-based critical infrastructure dependency analysis for large-scale and cross-sectoral failures.” Int. J. Crit. Infrastruct. Prot. 12: 46–60.
Sultana, S., and Z. Chen. 2009. “Modeling flood induced interdependencies among hydroelectricity generating infrastructures.” J. Environ. Manage. 90 (11): 3272–3282.
Sun, W., P. Bocchini, and B. D. Davison. 2019. “Comparing decision models for disaster restoration of interdependent infrastructures under uncertainty.” In Proc., 13th Int. Conf. on Applications of Statistics and Probability in Civil Engineering. Seoul, South Korea: Seoul National University Library.
Sun, W., P. Bocchini, and B. D. Davison. 2020a. “Resilience metrics and measurement methods for transportation infrastructure: The state of the art.” Sustainable Resilient Infrastruct. 5 (3): 168–199.
Sun, W., P. Bocchini, and B. D. Davison. 2020b. “Model for estimating the impact of interdependencies on system recovery.” J. Infrastruct. Syst. 26 (3): 04020031.
Sun, W., P. Bocchini, and B. D. Davison. 2020c. “Policy-based disaster recovery planning model for interdependent infrastructure systems under uncertainty.” Struct. Infrastruct. Eng. 17 (4): 555–578.
Sun, W., P. Bocchini, and B. D. Davison. 2022. “Overview of interdependency models of critical infrastructure for resilience assessment.” Nat. Hazards Rev. 23 (1).
Suppasri, A., K. Goto, A. Muhari, P. Ranasinghe, M. Riyaz, M. Affan et al. 2015. “A decade after the 2004 Indian ocean tsunami: The progress in disaster preparedness and future challenges in Indonesia, Sri Lanka, Thailand and the Maldives.” Pure Appl. Geophys. 172 (12): 3313–3341.
Tang, A., J. Ou, A. Wen, and X. Tao. 2004. “Lifeline interactions and their seismic performance assessment.” In Proc., 13th World Conf. on Earthquake Engineering, 1–8. Vancouver, Canada: 13 WCEE Secretariat.
Teodorescu, H.-N. L. 2015. “Defining resilience using probabilistic event trees.” Environ. Syst. Decis. 35 (2): 279–290.
Thompson, J. R., D. Frezza, B. Niceoglu, M. L. Cohen, K. Hoffman, and K. Rosfjord. 2019. “Interdependent critical infrastructure model (ICIM): An agent-based model of power and water infrastructure.” Int. J. Crit. Infrastruct. Prot. 24: 144–165.
Thomson Reuters. 2018. “Web of science.” Accessed May 1, 2018. https://login.webofknowledge.com/.
Tien, I., and A. Der Kiureghian. 2016. “Algorithms for Bayesian network modeling and reliability assessment of infrastructure systems.” Reliab. Eng. Syst. Saf. 156: 134–147.
TLC (The Lifeline Council). 2014. Lifelines interdependency study: The city and county of San Francisco. San Francisco: TLC.
Utne, I. B., P. Hokstad, and J. Vatn. 2011. “A method for risk modeling of interdependencies in critical infrastructures.” Reliab. Eng. Syst. Saf. 96 (6): 671–678.
Valdez, L. D., P. A. Macri, and L. A. Braunstein. 2014. “A triple point induced by targeted autonomization on interdependent scale-free networks.” J. Phys. A: Math. Theor. 47 (5): 055002.
Valdez, L. D., P. A. Macri, H. E. Stanley, and L. A. Braunstein. 2013. “Triple point in correlated interdependent networks.” Phys. Rev. E 88 (5): 050803.
van Hillegersberg, J., H. Moonen, T. Verduijn, and J. Becker. 2004. “Agent technology in supply chains and networks: An exploration of high potential future applications.” In Proc., IEEE/WIC/ACM Int. Conf. on Intelligent Agent Technology, 267–272. Piscataway, NJ: IEEE.
Vazquez-Prokopec, G. M., D. Bisanzio, S. T. Stoddard, V. Paz-Soldan, A. C. Morrison, J. P. Elder et al. 2013. “Using GPS technology to quantify human mobility, dynamic contacts and infectious disease dynamics in a resource-poor urban environment.” PLoS One 8 (4): e58802.
Vespignani, A. 2010. “Complex networks: The fragility of interdependency.” Nature 464 (7291): 984–985.
Volkanovski, A., M. Čepin, and B. Mavko. 2009. “Application of the fault tree analysis for assessment of power system reliability.” Reliab. Eng. Syst. Saf. 94 (6): 1116–1127.
Vugrin, E. D., M. A. Turnquist, and N. J. Brown. 2014. “Optimal recovery sequencing for enhanced resilience and service restoration in transportation networks.” Int. J. Crit. Infrastruct. 10 (3–4): 218–246.
Wagner, N., and V. Agrawal. 2014. “An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster.” Expert Syst. Appl. 41 (6): 2807–2815.
Wagner, S., and N. Neshat. 2010. “Assessing the vulnerability of supply chains using graph theory.” Int. J. Prod. Econ. 126 (1): 121–129.
Wallace, W. A., D. Mendonça, E. Lee, J. Mitchell, and J. Chow. 2003. “Managing disruptions to critical interdependent infrastructures in the context of the 2001 world trade center attack.” In Impacts of and Human Response to the September 11, 2001 Disasters: What Research Tells Us, M. F. Myers, ed., 165–198. Boulder, CO: Natural Hazards Research and Applications Information Center, University of Colorado.
Wang, J., C. Qiao, and H. Yu. 2011. “On progressive network recovery after a major disruption.” In Proc., 30th IEEE Int. Conf. on Computer Communications, 925–1933. Piscataway, NJ: IEEE.
Wang, S., L. Hong, and X. Chen. 2012. “Vulnerability analysis of interdependent infrastructure systems: A methodological framework.” Physica A 391 (11): 3323–3335.
Wang, Z.-N., J. Chen, W.-C. Cheng, A. Arulrajah, and S. Horpibulsuk. 2018. “Investigation into the tempo-spatial distribution of recent fire hazards in China.” Nat. Hazard. 92 (3): 1889–1907.
Werner, S. D., C. E. Taylor, S. Cho, J.-P. Lavoie, C. Huyck, C. Eitzel, et al. 2006. REDARS 2 methodology and software for seismic risk analysis of highway systems. Special Rep. No. MCEER-06-SP08. Buffalo, NY: Multidisciplinary Center for Earthquake Engineering Research.
Wheeler, T., M. Denman, R. A. Williams, N. Martin, and Z. Jankovsky. 2017. Nuclear power plant cyber security discrete dynamic event tree analysis. Rep. No. SAND2017-10307. Albuquerque, NM: Sandia National Laboratories.
Wu, J., and L. Dueñas-Osorio. 2013. “Calibration and validation of a seismic damage propagation model for interdependent infrastructure systems.” Earthquake Spectra 29 (3): 1021–1041.
Wu, Y., L. Xie, and Y. Yue. 2010. “Study on fault analysis technology by means of petri nets.” Int. J. Performability Eng. 6 (3): 269.
Xu, W., Z. Wang, M. Hu, L. Hong, X. Chen, and S. Wang. 2013. “The resilience framework for interdependent infrastructure systems using the dynamic inoperability input–output model.” In Intelligence computation and evolutionary computation, advances in intelligent systems and computing, Z. Du, ed., 355–361. Berlin: Springer.
Yan, X.-Y., W.-X. Wang, Z.-Y. Gao, and Y.-C. Lai. 2017. “Universal model of individual and population mobility on diverse spatial scales.” Nat. Commun. 8 (1): 1639.
Yang, Y., S. T. Ng, S. Zhou, F. J. Xu, and H. Li. 2019. “A physics-based framework for analyzing the resilience of interdependent civil infrastructure systems: A climatic extreme event case in Hong Kong.” Sustainable Cities Soc. 47: 101485.
Yazdani, A., R. Q. Otoo, and P. Jeffrey. 2014. “Resilience enhancing expansion strategies for water distribution systems: A network theory approach.” Environ. Model. Software 26 (12): 1574–1582.
Zhang, C., J. Long, and S. P. Simonovic. 2018a. “Modeling joint restoration strategies for interdependent infrastructure systems.” PLoS One 13 (4): e0195727.
Zhang, P., and S. Peeta. 2011. “A generalized modeling framework to analyze interdependencies among infrastructure systems.” Transp. Res. Part B Methodol. 45 (3): 553–579.
Zhang, Y., L. V. Snyder, M. Qi, and L. Miao. 2016a. “A heterogeneous reliable location model with risk pooling under supply disruptions.” Transp. Res. Part B Methodol. 83: 151–178.
Zhang, Y., L. V. Snyder, T. K. Ralphs, and Z. Xue. 2016b. “The competitive facility location problem under disruption risks.” Transp. Res. Part E Logist. Transp. Rev. 93: 453–473.
Zhang, Z., Y. Yin, X. Zhang, and L. Liu. 2018b. “Optimization of robustness of interdependent network controllability by redundant design.” PLoS One 13 (2): e0192874.
Zhou, S., S. T. Ng, Y. Yang, and J. F. Xu. 2019. “A data-driven and physics-based approach to exploring interdependency of interconnected infrastructure.” In Proc., ASCE Int. Conf. on Computing in Civil Engineering 2019, edited by Y. K. Cho, F. Leite, A. Behzadan, and C. Wang, 82–88. Reston, VA: ASCE.
Zhou, S., S. T. Ng, Y. Yang, and J. F. Xu. 2020. “Delineating infrastructure failure interdependencies and associated stakeholders through news mining: The case of Hong Kong's water pipe bursts.” J. Manage. Eng. 36 (5): 04020060.
Zimmerman, R. 2001. “Social implications of infrastructure network interactions.” J. Urban Technol. 8 (3): 97–119.
Zimmerman, R., and C. E. Restrepo. 2006. “The next step: Quantifying infrastructure interdependencies to improve security.” Int. J. Crit. Infrastruct. 2 (2–3): 215–230.

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Go to Objective Resilience
Objective Resilience: Objective Processes
Pages: 127 - 229
Editor: Mohammed M. Ettouney, Ph.D. https://orcid.org/0000-0001-7287-5090
ISBN (Print): 978-0-7844-1589-4
ISBN (Online): 978-0-7844-8375-6

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Published online: Apr 8, 2022

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