{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T20:15:00Z","timestamp":1783196100588,"version":"3.54.6"},"reference-count":83,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T00:00:00Z","timestamp":1779667200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003524","name":"New Zealand Ministry of Business Innovation and Employment","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003524","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001509","name":"Royal Society of New Zealand","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001509","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018693","name":"Horizon Europe","doi-asserted-by":"publisher","award":["101147385"],"award-info":[{"award-number":["101147385"]}],"id":[{"id":"10.13039\/100018693","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Reliability Engineering &amp; System Safety"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.ress.2026.112894","type":"journal-article","created":{"date-parts":[[2026,5,23]],"date-time":"2026-05-23T06:50:38Z","timestamp":1779519038000},"page":"112894","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Estimating whole-of-event consequences in interdependent infrastructure systems"],"prefix":"10.1016","volume":"276","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5417-7483","authenticated-orcid":false,"given":"Logan G.","family":"Brunner","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4683-1761","authenticated-orcid":false,"given":"Daphne","family":"Skipper","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9209-3018","authenticated-orcid":false,"given":"Tom M.","family":"Logan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"12","key":"10.1016\/j.ress.2026.112894_b1","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.1111\/j.1539-6924.2009.01310.x","article-title":"On the complex definition of risk: a systems-based approach","volume":"29","author":"Haimes","year":"2009","journal-title":"Risk Anal"},{"issue":"11","key":"10.1016\/j.ress.2026.112894_b2","doi-asserted-by":"crossref","first-page":"1959","DOI":"10.1111\/risa.13733","article-title":"The role of time in risk and risk analysis: Implications for resilience, sustainability, and management","volume":"41","author":"Logan","year":"2021","journal-title":"Risk Anal"},{"issue":"5","key":"10.1016\/j.ress.2026.112894_b3","doi-asserted-by":"crossref","first-page":"e70243","DOI":"10.1111\/risa.70243","article-title":"Advancing systemic risk assessment for complex, interdependent systems: A research agenda","volume":"46","author":"Logan","year":"2026","journal-title":"Risk Anal"},{"issue":"6","key":"10.1016\/j.ress.2026.112894_b4","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/37.969131","article-title":"Identifying, understanding, and analyzing critical infrastructure interdependencies","volume":"21","author":"Rinaldi","year":"2001","journal-title":"IEEE Control Syst Mag"},{"key":"10.1016\/j.ress.2026.112894_b5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.scs.2017.09.022","article-title":"Integrated infrastructure systems\u2014A review","volume":"36","author":"Saidi","year":"2018","journal-title":"Sustain Cities Soc"},{"issue":"109653","key":"10.1016\/j.ress.2026.112894_b6","article-title":"Understanding cascading risks through real-world interdependent urban infrastructure","volume":"241","author":"Brunner","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"issue":"5","key":"10.1016\/j.ress.2026.112894_b7","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1080\/23789689.2020.1871541","article-title":"State of the research on disaster risk management of interdependent infrastructure systems for community resilience planning","volume":"7","author":"He","year":"2022","journal-title":"Sustain Resilient Infrastruct"},{"key":"10.1016\/j.ress.2026.112894_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijdrr.2019.101228","article-title":"Community resilience-driven restoration model for interdependent infrastructure networks","volume":"38","author":"Karakoc","year":"2019","journal-title":"Int J Disaster Risk Reduct"},{"issue":"9","key":"10.1016\/j.ress.2026.112894_b9","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1038\/s41893-022-00893-w","article-title":"Risk science offers an integrated approach to resilience","volume":"5","author":"Logan","year":"2022","journal-title":"Nat Sustain"},{"issue":"5","key":"10.1016\/j.ress.2026.112894_b10","doi-asserted-by":"crossref","DOI":"10.1002\/wcc.724","article-title":"Vulnerability and resilience of power systems infrastructure to natural hazards and climate change","volume":"12","author":"Schweikert","year":"2021","journal-title":"Wiley Interdiscip Rev Clim Change"},{"issue":"4","key":"10.1016\/j.ress.2026.112894_b11","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)IS.1943-555X.0000575","article-title":"Infrastructure interdependencies: Opportunities from complexity","volume":"26","author":"Grafius","year":"2020","journal-title":"J Infrastruct Syst"},{"issue":"152552","key":"10.1016\/j.ress.2026.112894_b12","article-title":"Modelling and quantifying tomorrow\u2019s risks from natural hazards","volume":"817","author":"Cremen","year":"2022","journal-title":"Sci Total Env"},{"key":"10.1016\/j.ress.2026.112894_b13","doi-asserted-by":"crossref","DOI":"10.1111\/risa.70007","article-title":"Should I stay or should I go? Leveraging data-driven approaches to explore the effect of various disaster policies on postearthquake household relocation decision-making","author":"Wang","year":"2025","journal-title":"Risk Anal"},{"issue":"105184","key":"10.1016\/j.ress.2026.112894_b14","article-title":"Analyzing structural inequalities in natural hazard-induced power outages: A spatial-statistical approach","volume":"117","author":"Rouhana","year":"2025","journal-title":"Int J Disaster Risk Reduct"},{"key":"10.1016\/j.ress.2026.112894_b15","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.enpol.2017.05.058","article-title":"Unequal resilience: The duration of electricity outages","volume":"108","author":"Li\u00e9vanos","year":"2017","journal-title":"Energy Policy"},{"issue":"3","key":"10.1016\/j.ress.2026.112894_b16","doi-asserted-by":"crossref","first-page":"1733","DOI":"10.1109\/JSYST.2015.2389272","article-title":"Modeling and evaluating the resilience of critical electrical power infrastructure to extreme weather events","volume":"11","author":"Panteli","year":"2017","journal-title":"IEEE Syst J"},{"issue":"2","key":"10.1016\/j.ress.2026.112894_b17","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1109\/TR.2016.2521761","article-title":"Resilience-based component importance measures for critical infrastructure network systems","volume":"65","author":"Fang","year":"2016","journal-title":"IEEE Trans Reliab"},{"issue":"3","key":"10.1016\/j.ress.2026.112894_b18","doi-asserted-by":"crossref","first-page":"1795","DOI":"10.1007\/s11069-014-1270-9","article-title":"Forecasting hurricane-induced power outage durations","volume":"74","author":"Nateghi","year":"2014","journal-title":"Nat Hazards"},{"key":"10.1016\/j.ress.2026.112894_b19","doi-asserted-by":"crossref","first-page":"1364","DOI":"10.1109\/ACCESS.2014.2365716","article-title":"Predicting hurricane power outages to support storm response planning","volume":"2","author":"Guikema","year":"2014","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.ress.2026.112894_b20","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1109\/JSYST.2012.2190695","article-title":"A Bayesian network-based approach to the critical infrastructure interdependencies analysis","volume":"6","author":"Di Giorgio","year":"2012","journal-title":"IEEE Syst J"},{"key":"10.1016\/j.ress.2026.112894_b21","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.ijcip.2019.02.002","article-title":"A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system","volume":"25","author":"Hossain","year":"2019","journal-title":"Int J Crit Infrastruct Prot"},{"issue":"2","key":"10.1016\/j.ress.2026.112894_b22","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1002\/eqe.623","article-title":"Optimizing scheduling of post-earthquake electric power restoration tasks","volume":"36","author":"Xu","year":"2007","journal-title":"Earthq Eng Struct Dyn"},{"key":"10.1016\/j.ress.2026.112894_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2020.136854","article-title":"Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets","volume":"714","author":"Argyroudis","year":"2020","journal-title":"Sci Total Env"},{"key":"10.1016\/j.ress.2026.112894_b24","doi-asserted-by":"crossref","DOI":"10.1504\/IJCIS.2014.066356","article-title":"Optimal recovery sequencing for enhanced resilience and service restoration in transportation networks","author":"Vugrin","year":"2014","journal-title":"Int J Crit Infrastructures"},{"issue":"104834","key":"10.1016\/j.ress.2026.112894_b25","article-title":"Resilience-based restoration sequence optimization of disrupted transportation networks: A novel matheuristic approach","volume":"145","author":"Cui","year":"2025","journal-title":"Transp Res D Transp Env"},{"issue":"12","key":"10.1016\/j.ress.2026.112894_b26","doi-asserted-by":"crossref","first-page":"1547","DOI":"10.1111\/mice.12813","article-title":"A graph convolution network-deep reinforcement learning model for resilient water distribution network repair decisions","volume":"37","author":"Fan","year":"2022","journal-title":"Comput Aided Civ Infrastruct Eng"},{"issue":"8","key":"10.1016\/j.ress.2026.112894_b27","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1111\/mice.12200","article-title":"Optimal recovery from disruptions in water distribution networks: Optimal recovery from disruptions in water distribution networks","volume":"31","author":"Nayak","year":"2016","journal-title":"Comput Aided Civ Infrastruct Eng"},{"issue":"1","key":"10.1016\/j.ress.2026.112894_b28","doi-asserted-by":"crossref","DOI":"10.1029\/2022EF002946","article-title":"A multi-hazard risk framework to stress-test water supply systems to climate-related disruptions","volume":"11","author":"Becher","year":"2023","journal-title":"Earths Future"},{"issue":"4","key":"10.1016\/j.ress.2026.112894_b29","article-title":"Anticipating water distribution service outages from increasing temperatures","volume":"2","author":"Bondank","year":"2022","journal-title":"Environ Res: Infrastruct Sustain"},{"issue":"4","key":"10.1016\/j.ress.2026.112894_b30","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1080\/10286600902862615","article-title":"Simulation of post-earthquake water supply system restoration","volume":"27","author":"Tabucchi","year":"2010","journal-title":"Civ Eng Env Syst"},{"issue":"4","key":"10.1016\/j.ress.2026.112894_b31","doi-asserted-by":"crossref","first-page":"1487","DOI":"10.1193\/022912EQS058M","article-title":"Water system service categories, post-earthquake interaction, and restoration strategies","volume":"30","author":"Davis","year":"2014","journal-title":"Earthq Spectra"},{"issue":"10","key":"10.1016\/j.ress.2026.112894_b32","doi-asserted-by":"crossref","first-page":"3618","DOI":"10.3390\/su10103618","article-title":"Post-earthquake restoration simulation model for water supply networks","volume":"10","author":"Choi","year":"2018","journal-title":"Sustainability"},{"issue":"11","key":"10.1016\/j.ress.2026.112894_b33","doi-asserted-by":"crossref","first-page":"2245","DOI":"10.1111\/risa.13128","article-title":"Understanding compound, interconnected, interacting, and cascading risks: A holistic framework","volume":"38","author":"Pescaroli","year":"2018","journal-title":"Risk Anal"},{"issue":"12","key":"10.1016\/j.ress.2026.112894_b34","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1111\/mice.12606","article-title":"Regional resilience analysis: A multiscale approach to optimize the resilience of interdependent infrastructure","volume":"35","author":"Sharma","year":"2020","journal-title":"Comput Aided Civ Infrastruct Eng"},{"issue":"110781","key":"10.1016\/j.ress.2026.112894_b35","article-title":"Surrogate-based decision-making for post-earthquake recovery scheduling and resilience assessment of subway systems considering the effect of infrastructure interdependency","volume":"256","author":"Hu","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112894_b36","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.107538","article-title":"Optimizing the resilience of interdependent infrastructures to regional natural hazards with combined improvement measures","volume":"210","author":"Kong","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"issue":"1","key":"10.1016\/j.ress.2026.112894_b37","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1007\/s10479-011-0959-3","article-title":"Integrating restoration and scheduling decisions for disrupted interdependent infrastructure systems","volume":"203","author":"Cavdaroglu","year":"2013","journal-title":"Ann Oper Res"},{"issue":"3\u20134","key":"10.1016\/j.ress.2026.112894_b38","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1080\/23789689.2016.1254999","article-title":"Modeling the resilience of critical infrastructure: the role of network dependencies","volume":"1","author":"Guidotti","year":"2016","journal-title":"Sustain Resilient Infrastruct"},{"key":"10.1016\/j.ress.2026.112894_b39","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.ress.2015.03.011","article-title":"Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis","volume":"141","author":"Ouyang","year":"2015","journal-title":"Reliab Eng Syst Saf"},{"issue":"3","key":"10.1016\/j.ress.2026.112894_b40","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)IS.1943-555X.0000338","article-title":"Graph model for probabilistic resilience and recovery planning of multi-infrastructure systems","volume":"23","author":"Bristow","year":"2017","journal-title":"J Infrastruct Syst"},{"issue":"12","key":"10.1016\/j.ress.2026.112894_b41","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1016\/j.ress.2010.06.010","article-title":"An approach for modelling interdependent infrastructures in the context of vulnerability analysis","volume":"95","author":"Johansson","year":"2010","journal-title":"Reliab Eng Syst Saf"},{"issue":"2","key":"10.1016\/j.ress.2026.112894_b42","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1061\/(ASCE)1076-0342(2005)11:2(67)","article-title":"Inoperability input-output model for interdependent infrastructure sectors. I: Theory and methodology","volume":"11","author":"Haimes","year":"2005","journal-title":"J Infrastruct Sys"},{"issue":"1","key":"10.1016\/j.ress.2026.112894_b43","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1007\/s11069-012-0369-0","article-title":"Risk-based input\u2013output analysis of hurricane impacts on interdependent regional workforce systems","volume":"65","author":"Akhtar","year":"2013","journal-title":"Nat Hazards"},{"issue":"3","key":"10.1016\/j.ress.2026.112894_b44","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.rcns.2024.05.002","article-title":"Modelling infrastructure interdependencies and cascading effects using temporal networks","volume":"3","author":"Cimellaro","year":"2024","journal-title":"Resilient Cities Struct"},{"key":"10.1016\/j.ress.2026.112894_b45","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.ress.2018.04.029","article-title":"Modeling the damage and recovery of interdependent critical infrastructure systems from natural hazards","volume":"177","author":"He","year":"2018","journal-title":"Reliab Eng Syst Saf"},{"issue":"9","key":"10.1016\/j.ress.2026.112894_b46","doi-asserted-by":"crossref","first-page":"1970","DOI":"10.1111\/risa.13272","article-title":"Integration of critical infrastructure and societal consequence models: Impact on Swedish power system mitigation decisions: Integration of critical infrastructure and societal consequence models","volume":"39","author":"Svegrup","year":"2019","journal-title":"Risk Anal"},{"issue":"105271","key":"10.1016\/j.ress.2026.112894_b47","article-title":"Novel methodology for resilience assessment of critical infrastructure considering the interdependencies: A case study in water, transportation and electricity sector","volume":"119","author":"Rathnayaka","year":"2025","journal-title":"Int J Disaster Risk Reduct"},{"issue":"2","key":"10.1016\/j.ress.2026.112894_b48","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.rcns.2024.06.001","article-title":"Bayesian network-based resilience assessment of interdependent infrastructure systems under optimal resource allocation strategies","volume":"3","author":"Sun","year":"2024","journal-title":"Resilient Cities Struct"},{"issue":"1","key":"10.1016\/j.ress.2026.112894_b49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/23789689.2017.1345253","article-title":"Probabilistic multi-scale modeling of interdependencies between critical infrastructure systems for resilience","volume":"3","author":"Johansen","year":"2018","journal-title":"Sustain Resilient Infrastruct"},{"key":"10.1016\/j.ress.2026.112894_b50","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.ress.2017.08.018","article-title":"Post-disaster infrastructure recovery: Prediction of recovery rate using historical data","volume":"169","author":"Barabadi","year":"2018","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112894_b51","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.ress.2016.08.013","article-title":"A quantitative method for assessing resilience of interdependent infrastructures","volume":"157","author":"Nan","year":"2017","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112894_b52","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.ijcip.2018.12.002","article-title":"Interdependent critical infrastructure model (ICIM): An agent-based model of power and water infrastructure","volume":"24","author":"Thompson","year":"2019","journal-title":"Int J Crit Infrastruct Prot"},{"issue":"105761","key":"10.1016\/j.ress.2026.112894_b53","article-title":"Coordinated restoration of interdependent critical infrastructures: A novel distributed decision-making mechanism integrating optimization and reinforcement learning","volume":"114","author":"Saha","year":"2024","journal-title":"Sustain Cities Soc"},{"key":"10.1016\/j.ress.2026.112894_b54","doi-asserted-by":"crossref","DOI":"10.1016\/j.trd.2020.102455","article-title":"A post-disaster resource allocation framework for improving resilience of interdependent infrastructure networks","volume":"85","author":"Sun","year":"2020","journal-title":"Transp Res Part D: Trans Env"},{"issue":"107424","key":"10.1016\/j.ress.2026.112894_b55","article-title":"Propagation model of cascading failure based on discrete dynamical system","volume":"209","author":"Wu","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"issue":"126320","key":"10.1016\/j.ress.2026.112894_b56","article-title":"Robust analysis of cascading failures in complex networks","volume":"583","author":"Wu","year":"2021","journal-title":"Phys A"},{"issue":"108164","key":"10.1016\/j.ress.2026.112894_b57","article-title":"Seismic resilience assessment of urban interdependent lifeline networks","volume":"218","author":"Xiao","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"issue":"1","key":"10.1016\/j.ress.2026.112894_b58","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)NH.1527-6996.0000535","article-title":"Overview of interdependency models of critical infrastructure for resilience assessment","volume":"23","author":"Sun","year":"2022","journal-title":"Nat Hazards Rev"},{"issue":"110224","key":"10.1016\/j.ress.2026.112894_b59","article-title":"A systematic review of optimization methods for recovery planning in cyber\u2013physical infrastructure networks: Current state and future trends","volume":"192","author":"Aslani","year":"2024","journal-title":"Comput Ind Eng"},{"issue":"1","key":"10.1016\/j.ress.2026.112894_b60","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/s11067-020-09515-4","article-title":"Exploring recovery strategies for optimal interdependent infrastructure network resilience","volume":"21","author":"Almoghathawi","year":"2021","journal-title":"Netw Spat Econ"},{"issue":"6","key":"10.1016\/j.ress.2026.112894_b61","doi-asserted-by":"crossref","first-page":"1303","DOI":"10.1109\/TSMCC.2007.905859","article-title":"Restoration of services in interdependent infrastructure systems: A network flows approach","volume":"37","author":"Lee","year":"2007","journal-title":"IEEE Trans Syst Man Cybern C Appl Rev"},{"issue":"5","key":"10.1016\/j.ress.2026.112894_b62","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1111\/mice.12171","article-title":"The interdependent network design problem for optimal infrastructure system restoration: The interdependent network design problem for infrastructure restoration","volume":"31","author":"Gonz\u00e1lez","year":"2016","journal-title":"Comput Aided Civ Infrastruct Eng"},{"key":"10.1016\/j.ress.2026.112894_b63","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2023.121558","article-title":"ResQ-IOS: An iterative optimization-based simulation framework for quantifying the resilience of interdependent critical infrastructure systems to natural hazards","volume":"349","author":"Hafeznia","year":"2023","journal-title":"Appl Energy"},{"issue":"3","key":"10.1016\/j.ress.2026.112894_b64","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1016\/j.ejor.2019.01.052","article-title":"An adaptive robust framework for the optimization of the resilience of interdependent infrastructures under natural hazards","volume":"276","author":"Fang","year":"2019","journal-title":"Eur J Oper Res"},{"issue":"2","key":"10.1016\/j.ress.2026.112894_b65","article-title":"Decentralized decision making for the restoration of interdependent networks","volume":"6","author":"Talebiyan","year":"2020","journal-title":"ASCE ASME J Risk Uncertain Eng Syst A Civ Eng"},{"issue":"109599","key":"10.1016\/j.ress.2026.112894_b66","article-title":"Resilience-driven post-disaster restoration of interdependent infrastructure systems under different decision-making environments","volume":"241","author":"Xu","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112894_b67","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2021.117560","article-title":"Resilience-based restoration strategy optimization for interdependent gas and power networks","volume":"302","author":"Sang","year":"2021","journal-title":"Appl Energy"},{"key":"10.1016\/j.ress.2026.112894_b68","series-title":"Springer optimization and its applications","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-68928-5_2","article-title":"Pyomo \u2014 Optimization modeling in python","author":"Bynum","year":"2021"},{"issue":"3","key":"10.1016\/j.ress.2026.112894_b69","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1007\/s12532-011-0026-8","article-title":"Pyomo: modeling and solving mathematical programs in Python","volume":"3","author":"Hart","year":"2011","journal-title":"Math Program Comput"},{"key":"10.1016\/j.ress.2026.112894_b70","series-title":"Gurobi optimizer reference manual","author":"Gurobi Optimization, LLC","year":"2025"},{"key":"10.1016\/j.ress.2026.112894_b71","doi-asserted-by":"crossref","unstructured":"Anderson Mitchell J, Logan Tom M. Risk Without Place: A Global Review of Spatial Risk Analysis in Climate Adaptation Report. Clim Risk Manag 52(100816).","DOI":"10.1016\/j.crm.2026.100816"},{"issue":"1","key":"10.1016\/j.ress.2026.112894_b72","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s43247-023-01039-2","article-title":"The importance of accounting for equity in disaster risk models","volume":"4","author":"Soden","year":"2023","journal-title":"Commun Earth Env"},{"issue":"106658","key":"10.1016\/j.ress.2026.112894_b73","article-title":"The sensitivity of electric power infrastructure resilience to the spatial distribution of disaster impacts","volume":"193","author":"Rachunok","year":"2020","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112894_b74","series-title":"Alternative risk metrics to evaluate tradeoffs between efficiency and equity of risk reduction","author":"Johnson","year":"2023"},{"issue":"103400","key":"10.1016\/j.ress.2026.112894_b75","article-title":"A state-of-the-art decision-support environment for risk-sensitive and pro-poor urban planning and design in Tomorrow\u2019s cities","volume":"85","author":"Cremen","year":"2023","journal-title":"Int J Disaster Risk Reduct"},{"issue":"1","key":"10.1016\/j.ress.2026.112894_b76","doi-asserted-by":"crossref","first-page":"7331","DOI":"10.1038\/s41467-021-27359-5","article-title":"Overemphasis on recovery inhibits community transformation and creates resilience traps","volume":"12","author":"Rachunok","year":"2021","journal-title":"Nat Commun"},{"issue":"102843","key":"10.1016\/j.ress.2026.112894_b77","article-title":"Infrastructure planning emergency levels of service for the Wellington region, aotearoa New Zealand \u2013 A preliminary framework","volume":"72","author":"Mowll","year":"2022","journal-title":"Int J Disaster Risk Reduct"},{"issue":"100312","key":"10.1016\/j.ress.2026.112894_b78","article-title":"A new mapping tool to visualise critical infrastructure levels of service following a major earthquake","volume":"21","author":"Mowll","year":"2024","journal-title":"Prog Disaster Sci"},{"key":"10.1016\/j.ress.2026.112894_b79","series-title":"Routledge handbook of sustainable and resilient infrastructure","first-page":"50","article-title":"Resilience and sustainability goals for communities and quantification metrics","author":"Boakye","year":"2018"},{"issue":"105190","key":"10.1016\/j.ress.2026.112894_b80","article-title":"Functional isolation: The compounding burden on community capacity from cascading infrastructure failures and access disruption","volume":"118","author":"Anderson","year":"2025","journal-title":"Int J Disaster Risk Reduct"},{"issue":"100613","key":"10.1016\/j.ress.2026.112894_b81","article-title":"Capturing cascading consequences is required to reflect risk from climate change and natural hazards","volume":"44","author":"Thompson","year":"2024","journal-title":"Clim Risk Manag"},{"issue":"9","key":"10.1016\/j.ress.2026.112894_b82","doi-asserted-by":"crossref","first-page":"1902","DOI":"10.1111\/risa.13657","article-title":"Systemic risks from different perspectives","volume":"42","author":"Renn","year":"2022","journal-title":"Risk Anal"},{"issue":"3","key":"10.1016\/j.ress.2026.112894_b83","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s43069-022-00147-7","article-title":"Developing robust facility reopening processes following natural disasters","volume":"3","author":"Svirsko","year":"2022","journal-title":"Oper Res Forum"}],"container-title":["Reliability Engineering &amp; System Safety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832026007040?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832026007040?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T19:16:46Z","timestamp":1783192606000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0951832026007040"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":83,"alternative-id":["S0951832026007040"],"URL":"https:\/\/doi.org\/10.1016\/j.ress.2026.112894","relation":{},"ISSN":["0951-8320"],"issn-type":[{"value":"0951-8320","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Estimating whole-of-event consequences in interdependent infrastructure systems","name":"articletitle","label":"Article Title"},{"value":"Reliability Engineering & System Safety","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ress.2026.112894","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"112894"}}