Abstract
How societies organize themselves to respond to cascading impacts exacerbated by climate change will help define the future of disaster planning, mitigation, response, and recovery. Current emergency management risk analyses focus on identifying a broad array of threats and hazards that may affect an area. However, there is limited attention and understanding of the totality of hazard impacts, the relationship of consequences across disasters, and the dangers of not addressing critical capabilities necessary to rapidly managing consequences—including the potential to create new incidents within incidents. Through a focused review of the related literature and guiding policy documents, this study aims to provide a cascading consequence-based framework that can support emergency managers in the analysis of their jurisdictional risks, development of emergency operations plans, and decision-making. Results include the identification of an alternative framework to identify cascading networks, the creation of a supplementary model for downstream risk assessment, and refined Threat and Hazard Identification and Risk Analysis (THIRA) outputs for improved grant allocation. The proposed framework has the potential to help organizations factor both conspicuous and downstream consequences into their Emergency Operations Plans in the planning and mitigations phases. This proposed refinement, which looks deeper into the progression of a disaster, has both national and international implications.
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References
Arboleda CA, Abraham DM, Richard JPP, & Lubitz R (2006). Impact of interdependencies between infrastructure systems in the operation of health care facilities during disaster events. In Joint international conference on computing and decisionmaking in civil and building engineering: June (pp. 14–16).
Alvargonzález D (2011) Multidisciplinarity, interdisciplinarity, transdisciplinarity, and the sciences. Int Stud Philos Sci 25(4):387–403. https://doi.org/10.1080/02698595.2011.623366
Beccari B (2016) A comparative analysis of disaster risk, vulnerability and resilience composite indicators. PLOS Curr Disasters. https://doi.org/10.1371/currents.dis.453df025e34b682e9737f95070f9b970
Birkmann J, Buckle P, Jaeger J, Pelling M, Setiadi N, Garschagen M, Kropp J (2010) Extreme events and disasters: a window of opportunity for change? Analysis of organizational, institutional and political changes, formal and informal responses after mega-disasters. Nat Hazards 55(3):637–655
Briggs CM (2012) Climate security, risk assessment and military planning. Int Aff 88(5):1049–1064
Brown JT (2011) Presidential policy directive 8 and the national preparedness system: background and issues for congress. Congressional Research Service. https://fas.org/sgp/crs/homesec/R42073.pdf
Cahuzac-Soave O, & de Maupeou M (2016) Managing cascading effects. Crisis Response J (CRJ), 12(2). http://www.predict-project.eu/sites/predict-project.eu/files/docs/managing_cascading_effects.pdf
Carre F, Prats F, Willot A, Cherkaoui A, Salmon R, D'Osterlinck T, Judek C (2017) Methodology for creating a model of an incident with cascading effects for future threats.
Cedergren A & Johansson J (2017) Cascading effects: what are they and how do they affect society? Sweden: University of Lund. http://casceff.eu/media2/2017/07/Topic1-Cascading-effects-1.pdf
Chou JS, Ongkowijoyo CS (2019) Hybrid decision-making method for assessing interdependency and priority of critical infrastructure. Int J Disaster Risk Reduct 39:101134
CIKRNE (2012) The full-spectrum risk knowledgebase overview. https://cikrne.org/admin/resources/the-full-spectrum-risk-knowledgebase-overview0812.pdf. Accessed 15 July 201
Cowan D, Norman I, Coopamah V (2005) Competence in nursing practice: a controversial concept—a focused review of literature. Nurse Educ Today 25(5):355–362. https://doi.org/10.1016/j.nedt.2005.03.002
Cox L (2008) Some limitations of “Risk = threat × vulnerability × consequence” for risk analysis of terrorist attacks (6th ed.) https://doi.org/10.1111/j.1539-6924.2008.01142.x
Enríquez-de-Salamanca Á (2018) Stakeholders’ manipulation of environmental impact assessment. Environ Impact Assess Rev 68:10–18
de Rigo D, Caudullo G, San-Miguel-Ayanz J, & Barredo JI (2017) Robust modelling of the impacts of climate change on the habitat suitability of forest tree species. de Rigo D, Caudullo G, San-Miguel-Ayanz J, Barredo JI.
Dueñas-Osorio L, Vemuru SM (2009) Cascading failures in complex infrastructure systems. Str Saf 31(2):157–167. https://doi.org/10.1016/j.strusafe.2008.06.007
Emrich CT, Tate E, Larson SE, Zhou Y (2020) Measuring social equity in flood recovery funding. Environ Hazards 19(3):228–250
Federal Emergency Management Agency (FEMA). (1996). Guide for all-hazard emergency operations planning. https://www.fema.gov/pdf/plan/slg101.pdf
Federal Emergency Management Agency (FEMA) (2007) Target capabilities list: A companion to the national preparedness guidelines. Washington, DC: U.S. Department of Homeland Security. http://www.dtic.mil/docs/citations/ADA506879
Federal Emergency Management Agency (FEMA) (2010) Developing and maintaining emergency operations plans (Version 2.0. ed.). Washington, D.C.: U.S. Department of Homeland Security, FEMA. http://purl.fdlp.gov/GPO/gpo74643
Federal Emergency Management Agency (FEMA). (2011). "Whole community approach to emergency management: principles, themes, and pathways for action." Federal Emergency Management Agency, US Department of Homeland Security, Washington DC. https://www.fema.gov/sites/default/files/2020-07/whole_community_dec2011__2.pdf
Federal Emergency Management Agency (FEMA). (2012). Threat and hazard identification and risk assessment guide: comprehensive preparedness guide (CPG) 201: Supplement 1: Toolkit. Washington, DC: Federal Emergency Management Agency. https://purl.fdlp.gov/GPO/gpo75050
Federal Emergency Management Agency (FEMA) (2013) Threat and hazard identification and risk assessment guide (Second edition. ed.). Washington, DC: Federal Emergency Management Agency. https://purl.fdlp.gov/GPO/gpo75050
Federal Emergency Management Agency (FEMA). (2018). Threat and hazard identification and risk assessment (THIRA) and stakeholder preparedness review (SPR) guide comprehensive preparedness guide (CPG): 3rd Edition. https://www.fema.gov/sites/default/files/2020-04/CPG201Final20180525.pdf
Federal Emergency Management Agency (FEMA) (2019) 2019 National threat and hazard identification and risk assessment (THIRA) Overview and Methodology (07/25/2019). https://www.fema.gov/sites/default/files/2020-06/fema_national-thira-overview-methodology_2019_0.pdf
FORTRESS (2019) Final publishable summary report. https://cordis.europa.eu/docs/results/607/607579/final1-publishable-summary-fortress.pdf
Franchina L, Carbonelli M, Gratta L, Crisci M, Perucchini D (2011) An impact-based approach for the analysis of cascading effects in critical infrastructures. Int J Crit Infrastruct 7(1):73. https://doi.org/10.1504/IJCIS.2011.038958
Frazier TG, Wood EX, Peterson AG (2020) Residual risk in public health and disaster management. Appl Geogr 125:102365
Friend RM, Thinphanga P, MacClune K, Henceroth J, Tran PVG, Nghiem TP (2015) Urban transformations and changing patterns of local risk: Lessons from the mekong region. Int J Disaster Resil Built Environ 6(1):30–43. https://doi.org/10.1108/IJDRBE-08-2014-0061
Gall M, Borden KA, Emrich CT, Cutter SL (2011) The unsustainable trend of natural hazard losses in the United States. Sustainability 3(11):2157–2181
Garcia-Aristizabal A, Gasparini P, Uhinga G (2015) Multi-risk assessment as a tool for decision-making. In: Pauleit S, Coly A, Fohlmeister S, Gasparini P, Jørgensen G, Kabisch S, Kombe WJ, Lindley S, Simonis I, Yeshitela K (eds) Urban vulnerability and climate change in africa. Springer, Cham, pp 229–258
Gill JC, Malamud BD (2016) Hazard interactions and interaction networks (cascades) within multi-hazard methodologies. Earth Syst Dyn 7:659–679. https://doi.org/10.5194/esd-7-659-2016
Gong Z, Wang Y, Wei G, Li L, Guo W (2020) Cascading disasters risk modeling based on linear uncertainty distributions. Int J Disaster Risk Reduct 43:101385
Helbing D, Ammoser H, Kuhnert C (2006) Disasters as extreme events and the importance of network interactions for disaster response management. In: Albeverio S, Jentsch V, Kantz H (eds) Extreme events in nature and society. Springer, Berlin, pp 319–348
Lawrence J, Blackett P, Cradock-Henry NA (2020) Cascading climate change impacts and implications. Clim Risk Manag 29:100234
Lawrence J, Blackett P, Cradock-Henry N, Nistor BJ (2018) Climate change: the cascade effect. cascading impacts and Implications for Aotearoa New Zealand. Deep South Challenge, Wellington
Little RG (2002) Controlling cascading failure: understanding the vulnerabilities of interconnected infrastructures. J Urban Technol 9(1):109–123. https://doi.org/10.1080/106307302317379855
Madden JW (2013) Are we prepared? measuring the impact of preparedness grants since september 11: subcommittee on emergency management, intergovernmental relations, and the district of Columbia, United States Senate. https://www.hsgac.senate.gov/imo/media/doc/Madden%20Testimony-%20EMDC%202013-06-25.pdf
Markolf SA, Chester MV, Eisenberg DA, Iwaniec DM, Davidson CI, Zimmerman R, Chang H (2018) Interdependent infrastructure as linked social, ecological, and technological systems (SETSs) to address lock-in and enhance resilience. Earth’s Future 6(12):1638–1659
McSweeney K, Coomes OT (2011) Climate-related disaster opens a window of opportunity for rural poor in northeastern Honduras. Proc Natl Acad Sci 108(13):5203–5208
Mizrahi S (2020) Cascading disasters, information cascades and continuous time models of domino effects. Int J Disaster Risk Reduct 49:101672
NEMA (2014) Recommendations for strengthening national emergency management programs. National Emergency Management Association. https://www.nasemso.org/Projects/DomesticPreparedness/documents/NEMA-Recommendations-for-Strengthening-National-EM-Programs.pdf
Pescaroli G, Nones M, Galbusera L, Alexander D (2018) Understanding and mitigating cascading crises in the global interconnected system. Int J Disaster Risk Reduct. https://doi.org/10.1016/j.ijdrr.2018.07.004
Pescaroli G, Alexander D (2016) Critical infrastructure, panarchies and the vulnerability paths of cascading disasters. Nat Hazards 82(1):175–192. https://doi.org/10.1007/s11069-016-2186-3 (Retrieved from Doi: 10.1007/s11069-016-2186-3)
Pescaroli G, Alexander D (2015) A definition of cascading disasters and cascading effects: going beyond the “toppling dominos” metaphor. Planet@ Risk 3(1):58–67
Peters K, Buzna L, Helbing D (2007) Modelling of cascading effects and efficient response to disaster spreading in complex networks. Int J Crit Infrastruct 4(1–2):46–62. https://doi.org/10.1504/IJCIS.2008.016091
Phillips B (1997) Qualitative methods and disaster research. Int J Mass Emerg Disasters 15(1):179–195
PREDICT (n.d.-a): Deliverables. http://www.predict-project.eu/deliverables
PREDICT (n.d. -b) Methodologies for the operation time model lay-out and specification. (). http://www.predict-project.eu/sites/predict-project.eu/files/d3.3_v2_-_submitted.pdf
PREDICT (2015) PREDICT: Preparing for the domino effect in crisis situations: methodology for the identification and probability assessment of cascading effects. London: Albawaba (London) Ltd. https://search-proquest-com.proxy.library.georgetown.edu/trade-journals/predict-preparing-domino-effect-crisis-situations/docview/1691365529/se-2?accountid=11091
PREDICT (2016) Methods of threat quantification. PREDICT Project. http://www.predict-project.eu/sites/predict-project.eu/files/d3.3_v2_-_submitted.pdf
Prezelj I, Ziberna A (2013) Consequence-, time- and interdependency-based risk assessment in the field of critical infrastructure. Risk Manag 15(2):100–131. https://doi.org/10.1057/rm.2013.1
Rufat S, Tate E, Emrich CT, Antolini F (2019) How valid are social vulnerability models? Ann Am As Geogr 109(4):1131–1153
Runciman WG (1978) Processes, end-states and social justice. Philos Q (1950) 28(110):37–45
Sendai Framework for Disaster Risk Reduction 2015–2030. http://www.wcdrr.org/preparatory/post2015
Taquechel EF, Lewis TG (2012) How to quantify deterrence and reduce critical infrastructure risk. Homel Secur Aff 8(1). https://core.ac.uk/download/pdf/36718154.pdf
Taquechel EF, Lewis TG (2016) More options for quantifying deterrence and reducing critical infrastructure risk: cognitive biases. Homel Secur Aff 12. https://www.hsaj.org/articles/12007
Tarling HA (2017) Comparative analysis of social vulnerability indices: CDC’s SVI and SoVI®.
Tate E (2012) Social vulnerability indices: a comparative assessment using uncertainty and sensitivity analysis. Nat Hazards 63(2):325–347
United Nations Framework Convention on Climate Change (UNFCCC) (2021) National adaptation programmes of action. https://unfccc.int/topics/resilience/workstreams/national-adaptation-programmes-of-action/introduction
United Nations Office for Disaster Risk Reduction. (UNISDR) (2017) National disaster risk assessment words into action guidelines governance system, methodologies, and use of results. https://www.unisdr.org/files/52828_nationaldisasterriskassessmentwiagu.pdf
United Nations Office for Disaster Risk Reduction (UNISDR) (2007) Guidelines: national platforms for disaster risk reduction. https://www.unisdr.org/files/601_engguidelinesnpdrr.pdf
Villegas-Gonzalez PA, Ramos-Canon AM, Gonzalez-Mendez M, Eduardo R, De Plaza-Solorzano JS (2017) Territorial vulnerability assessment frame in Colombia: disaster risk management. Int J Disaster Risk Reduct 21:384–395. https://doi.org/10.1016/j.ijdrr.2017.01.003
Xie J, & Barbarin Y (2016) Preparing for the domino effect in crisis situation d 3. 1 methodology for the identification and probability assessment of cascading effects. https://www.semanticscholar.org/paper/PREPARING-FOR-THE-DOMINO-EFFECT-IN-CRISIS-SITUATION-Xie-Barbarin/17e01a4abe1747e80b72d61ca5f3ea10d3320d9b
Yilmaz G, Youngreen R (2016) The application of minority influence theory in computer-mediated communication groups. Small Group Res 47(6):692–719. https://doi.org/10.1177/1046496416661033
Zhang K, Xue X, Hong Y, Gourley JJ, Lu N, Wan Z, Wooten R (2016) iCRESTRIGRS: a coupled modeling system for cascading flood–landslide disaster forecasting. Hydrol Earth Syst Sci 20(12):5035–5048
Zhang D, Zhou L Jr, J. F. N. (2002) A knowledge management framework for the support of decision making in humanitarian assistance/disaster relief. Knowl Inf Sys 4(3):370–385. https://doi.org/10.1007/s101150200012
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Cuartas, J.B., Frazier, T. & Wood, E. The application of cascading consequences for emergency management operations. Nat Hazards 108, 2919–2938 (2021). https://doi.org/10.1007/s11069-021-04807-5
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DOI: https://doi.org/10.1007/s11069-021-04807-5