A Multicriteria Decision Analytic Approach to Systems Resilience

Jeffrey M. Keisler , Emily M. Wells , Igor Linkov

International Journal of Disaster Risk Science ›› 2024, Vol. 15 ›› Issue (5) : 657 -672.

PDF
International Journal of Disaster Risk Science ›› 2024, Vol. 15 ›› Issue (5) : 657 -672. DOI: 10.1007/s13753-024-00587-1
Article

A Multicriteria Decision Analytic Approach to Systems Resilience

Author information +
History +
PDF

Abstract

This article develops a novel decision-oriented framework that strategically deconstructs systems resilience in a way that focuses on systems’ design, capabilities, and management. The framework helps evaluate and compare how system design choices impact system resilience. First, we propose a resilience score based on a piecewise linear approximation to a resilience curve. Using multicriteria decision analysis principles, we score system design alternatives in terms of system-specific capabilities. We estimate the relevance of these capabilities to resilience curve parameters associated with resilience phases. Finally, we interpret the derivatives of resilience with respect to the curve parameter values as the leverage of these parameters. Using multiple levels of weighted sums of the scores, we calculate the first order impact of system design choices first on a proxy for the generic resilience parameters and then on resilience, which allows situational characteristics to be incorporated in their natural terminology while mapping their impact on resilience with a traceable logic. We illustrate the approach by using existing materials to develop an example comparing engineered designs for minimizing post-wildfire flood impacts.

Keywords

Decision analysis / Multicriteria decision analysis / Resilience / System design

Cite this article

Download citation ▾
Jeffrey M. Keisler, Emily M. Wells, Igor Linkov. A Multicriteria Decision Analytic Approach to Systems Resilience. International Journal of Disaster Risk Science, 2024, 15(5): 657-672 DOI:10.1007/s13753-024-00587-1

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

American Society of Civil Engineers Hazard-resilient infrastructure: Analysis and design, 2021, Reston, VA: American Society of Civil Engineers

[2]

Aruldoss M. A survey on multi criteria decision making methods and its applications. American Journal of Information Systems, 2013, 1(1): 31-43

[3]

Ayyub BM. Systems resilience for multihazard environments: Definition, metrics, and valuation for decision making. Risk Analysis, 2014, 34(2): 340-355

[4]

Ayyub BM. Practical resilience metrics for planning, design, and decision making. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2015, 1(3): Article 04015008

[5]

Bonstrom H, Corotis RB. First-order reliability approach to quantify and improve building portfolio resilience. Journal of Structural Engineering, 2014, 142(8): Article C4014001

[6]

Bostick TP, Connelly EB, Lambert JH, Linkov I. Resilience science, policy and investment for civil infrastructure. Reliability Engineering & System Safety, 2018, 175: 19-23

[7]

Bruneau M, Reinhorn AM. Gardoni P. Structural engineering dilemmas, resilient EPCOT, and other perspectives on the road to engineering resilience. Routledge handbook of sustainable and resilient infrastructure, 2018, London: Routledge 70-93

[8]

Burnett JT, Edgeley CM. Factors influencing flood risk mitigation after wildfire: Insights for individual and collective action after the 2010 Schultz Fire. International Journal of Disaster Risk Reduction, 2023, 94: Article 103791

[9]

Cegan JC, Filion AM, Keisler JM, Linkov I. Trends and applications of multi-criteria decision analysis in environmental sciences: Literature review. Environment Systems and Decisions, 2017, 37(2): 123-133

[10]

Cinelli M, Spada M, Kim W, Zhang Y, Burgherr P. MCDA Index Tool: An interactive software for developing indices and rankings. Environment Systems and Decisions, 2021, 41(1): 82-109

[11]

Cutter SL, Ahearn JA, Amadei B, Crawford P, Eide EA, Galloway GE, Goodchild MF, Kunreuther H, et al. Disaster resilience: A national imperative. Environment, 2013, 55(2): 25-29

[12]

Davis CA, Ayyub B, McNeil S, Kobayashi K, Tatano H, Onishi M, Takahashi Y, Honda R, et al. Davis CA, Yu K, Taciroglu E, et al. Overview of a framework to engineer infrastructure resilience through assessment, management, and governance. Lifelines 2022: Advancing lifeline engineering for community resilience, 2022, Reston, VA: American Society of Civil Engineers 901-1013

[13]

Debano LF. The role of fire and soil heating on water repellency in wildland environments: A review. Journal of Hydrology, 2000, 231–232: 195-206

[14]

Doerr SH, Thomas AD. The role of soil moisture in controlling water repellency: New evidence from forest soils in Portugal. Journal of Hydrology, 2000, 231–232: 134-147

[15]

Dormady N, Rose A, Rosoff H, Roa-Henriquez A. Ruth M, Reisemann SG. Estimating the cost-effectiveness of resilience to disasters: Survey instrument design & refinement of primary data. Handbook on resilience of socio-technical systems, 2019, Cheltenham: Edward Elgar 227-246

[16]

Dormady N, Rose A, Morin CB, Roa-Henriquez A. The cost-effectiveness of economic resilience. International Journal of Production Economics, 2022, 244: Article 108371

[17]

Federal Emergency Management Agency FEMA fact sheet flood after fire flood risks increase after fires, 2020, Washington, DC: Federal Emergency Management Agency

[18]

Ferris TLJ. A resilience measure to guide system design and management. IEEE Systems Journal, 2019, 13(4): 3708-3715

[19]

Fox-Lent C, Bates ME, Linkov I. A matrix approach to community resilience assessment: An illustrative case at Rockaway Peninsula. Environment Systems and Decisions, 2015, 35(2): 209-218

[20]

Ganin AA, Massaro E, Gutfraind A, Steen N, Keisler JM, Kott A, Mangoubi R, Linkov I. Operational resilience: Concepts, design and analysis. Scientific Reports, 2016, 6: Article 19540

[21]

Girona-García A, Vieira DCS, Silva J, Fernández C, Robichaud PR, Keizer JJ. Effectiveness of post-fire soil erosion mitigation treatments: A systematic review and meta-analysis. Earth-Science Reviews, 2021, 217: Article 103611

[22]

Griffiths, P.G., C.S. Magirl, R.H. Webb, E. Pytlak, P.A. Troch, and S.W. Lyon. 2009. Spatial distribution and frequency of precipitation during an extreme event: July 2006 mesoscale convective complexes and floods in southeastern Arizona. Water Resources Research 45(7). https://doi.org/10.1029/2008WR007380.

[23]

Henry D, Ramirez-Marquez JE. Generic metrics and quantitative approaches for system resilience as a function of time. Reliability Engineering & System Safety, 2012, 99: 114-122

[24]

Huang IB, Keisler J, Linkov I. Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends. Science of the Total Environment, 2011, 409(19): 3578-3594

[25]

Izuakor C, White R. Critical infrastructure asset identification: Policy, methodology and gap analysis. IFIP Advances in Information and Communication Technology, 2016, 485: 27-41

[26]

Kabir G, Sadiq R, Tesfamariam S. A review of multi-criteria decision-making methods for infrastructure management. Structure and Infrastructure Engineering, 2014, 10(9): 1176-1210

[27]

Kean JW, Staley DM, Lancaster JT, Rengers FK, Swanson BJ, Coe JA, Hernandez JL, Sigman AJ, et al. Inundation, flow dynamics, and damage in the 9 January 2018 Montecito debris-flow event, California, USA: Opportunities and challenges for post-wildfire risk assessment. Geosphere, 2019, 15(4): 1140-1163

[28]

Keeney RL. Edwards W, Miles RF, Von Winterfeldt D. Developing objectives and attributes. Advances in decision analysis, 2007, Cambridge, UK: Cambridge University Press 104-128

[29]

Kurth MH, Larkin S, Keisler JM, Linkov I. Trends and applications of multi-criteria decision analysis: Use in government agencies. Environment Systems and Decisions, 2017, 37(2): 134-143

[30]

Linkov I, Moberg E. Multi-criteria decision analysis: Environmental applications and case studies, 2014, Boca Raton, FL: CRC Press

[31]

Linkov I, Trump BD. Linkov I, Keisler J, Lambert JH, Figueira JR. Resilience quantification and assessment. The science and practice of resilience: Risk, systems and decisions, 2019, Cham: Springer 81-101

[32]

Linkov I, Trump BD. The science and practice of resilience, 2019, Cham: Springer

[33]

Linkov I, Satterstrom FK, Kiker G, Batchelor C, Bridges T, Ferguson E. From comparative risk assessment to multi-criteria decision analysis and adaptive management: Recent developments and applications. Environment International, 2006, 32(8): 1072-1093

[34]

Linkov I, Eisenberg DA, Plourde K, Seager TP, Allen J, Kott A. Resilience metrics for cyber systems. Environment Systems and Decisions, 2013, 33(4): 471-476

[35]

Linkov I, Trump BD, Trump J, Pescaroli G, Hynes W, Mavrodieva A, Panda A. Resilience stress testing for critical infrastructure. International Journal of Disaster Risk Reduction, 2022, 82: Article 103323

[36]

Mabrouk M, Han H. Urban resilience assessment: A multicriteria approach for identifying urban flood-exposed risky districts using multiple-criteria decision-making tools (MCDM). International Journal of Disaster Risk Reduction, 2023, 91: Article 103684

[37]

Malvar MC, Silva FC, Prats SA, Vieira DCS, Coelho COA, Keizer JJ. Short-term effects of post-fire salvage logging on runoff and soil erosion. Forest Ecology and Management, 2017, 400: 555-567

[38]

Marsh K, Zaiser E, Orfanos P, Salverda S, Wilcox T, Sun S, Dixit S. Evaluation of COPD treatments: A multicriteria decision analysis of aclidinium and tiotropium in the United States. Value in Health, 2017, 20(1): 132-140

[39]

Martins MAS, Verheijen FGA, Malvar MC, Serpa D, González-Pelayo O, Keizer JJ. Do wildfire and slope aspect affect soil water repellency in eucalypt plantations?—A two-year high resolution temporal dataset. CATENA, 2020, 189: Article 104471

[40]

New Mexico State Forestry. 2015. Post‐fire treatments: A primer for New Mexico communities. https://afterwildfirenm.org/post-fire-treatments/post-fire-treatments-pdf/copy_of_post-fire-treatments-pdf. Accessed 12 Oct 2024.

[41]

Patel DA, Lad VH, Chauhan KA, Patel KA. Development of bridge resilience index using multicriteria decision-making techniques. Journal of Bridge Engineering, 2020, 25(10): Article 04020090

[42]

Pawar B, Huffman M, Khan F, Wang Q. Resilience assessment framework for fast response process systems. Process Safety and Environmental Protection, 2022, 163: 82-93

[43]

Poulin C, Kane MB. Infrastructure resilience curves: Performance measures and summary metrics. Reliability Engineering & System Safety, 2021, 216: Article 107926

[44]

Prasetya ARA, Rachmawati TA, Usman F. A multicriteria approach to assessing landslide community resilience. Case study: Bumiaji sub-district. IOP Conference Series: Earth and Environmental Science, 2023, 1186(1): Article 012003

[45]

Reutlinger A, Hangleiter D, Hartmann S. Understanding (with) toy models. The British Journal for the Philosophy of Science, 2018, 69(4): 1069-1099

[46]

Rinaldi SM, Peerenboom JP, Kelly TK. Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems Magazine, 2001, 21(6): 11-25

[47]

Robichaud PR. Fire effects on infiltration rates after prescribed fire in northern Rocky Mountain forests, USA. Journal of Hydrology, 2000, 231–232: 220-229

[48]

Rocco CM, Hernández-Perdomo E, Barker K. Multicriteria decision analysis approach for stochastic ranking with application to network resilience. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2015, 2(1): Article 04015018

[49]

Roege PE, Collier ZA, Mancillas J, McDonagh JA, Linkov I. Metrics for energy resilience. Energy Policy, 2014, 72: 249-256

[50]

Rose, A. 2017. Benefit-cost analysis of economic resilience actions. In Oxford research encyclopedia of natural hazard science, ed. S. Cutter. New York: Oxford University Press. https://doi.org/10.1093/acrefore/9780199389407.013.69. Accessed 12 Oct 2024.

[51]

Roszkowska, E., and T. Wachowicz. 2016. Analyzing the applicability of selected MCDA methods for determining the reliable scoring systems. https://www.researchgate.net/publication/305209304_Analyzing_the_Applicability_of_Selected_MCDA_Methods_for_Determining_the_Reliable_Scoring_Systems. Accessed 12 Oct 2024.

[52]

Sharma N, Tabandeh A, Gardoni P. Resilience analysis: A mathematical formulation to model resilience of engineering systems. Sustainable and Resilient Infrastructure, 2018, 3(2): 49-67

[53]

Staley DM, Kean JW, Rengers FK. The recurrence interval of post-fire debris-flow generating rainfall in the southwestern United States. Geomorphology, 2020, 370: Article 107392

[54]

Steele K, Carmel Y, Cross J, Wilcox C. Uses and misuses of multicriteria decision analysis (MCDA) in environmental decision making. Risk Analysis, 2009, 29(1): 26-33

[55]

The White House. 2024. National security memorandum on critical infrastructure security and resilience NSM-22. https://www.whitehouse.gov/briefing-room/presidential-actions/2024/04/30/national-security-memorandum-on-critical-infrastructure-security-and-resilience/. Accessed 12 Oct 2024.

[56]

Wang C, Ayyub BM, Ahmed A. Time-dependent reliability and resilience of aging structures exposed to multiple hazards in a changing environment. Resilient Cities and Structures, 2022, 1(3): 40-51

[57]

Yang M, Sun H, Geng S. On the quantitative resilience assessment of complex engineered systems. Process Safety and Environmental Protection, 2023, 174: 941-950

[58]

Yilmaz OS, Akyuz DE, Aksel M, Dikici M, Akgul MA, Yagci O, Sanli FB, Aksoy H. Evaluation of pre- and post-fire flood risk by analytical hierarchy process method: A case study for the 2021 wildfires in Bodrum, Turkey. Landscape and Ecological Engineering, 2023, 19(2): 271-288

[59]

Zarei E, Ramavandi B, Darabi AH, Omidvar M. A framework for resilience assessment in process systems using a fuzzy hybrid MCDM model. Journal of Loss Prevention in the Process Industries, 2021, 69: Article 104375

[60]

Zhang Z, Srivastava PR, Eachempati P, Yu Y. An intelligent framework for analyzing supply chain resilience of firms in China: A hybrid multicriteria approach. International Journal of Logistics Management, 2023, 34(2): 443-472

AI Summary AI Mindmap
PDF

280

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/