Stochastic Measures of Network Resilience: Applications to Waterway Commodity Flows

Risk Analysis

Volumn 34, Issue 7, 2014, Pages 1317-1335

  Baroud, Hiba ^a   Ramirez Marquez, Jose E ^b   Barker, Kash ^a   Rocco, Claudio M ^c  

^a University of Oklahoma   (United States)

^b STEVENS INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSIDAD CENTRAL DE VENEZUELA   (Venezuela)

Author keywords

Copeland Score; Infrastructure; Networks; Resilience; Stocastic ranking

Indexed keywords

MULTIMODAL TRANSPORTATION; NAVIGATION SYSTEMS; NETWORKS (CIRCUITS); STOCHASTIC SYSTEMS;

COPELAND SCORE; INFRASTRUCTURE; INFRASTRUCTURE NETWORKS; MULTIMODAL TRANSPORTATION NETWORKS; OPTIMIZATION TECHNIQUES; RESILIENCE; STOCASTIC RANKING; STOCHASTIC MEASURES;

NETWORK SECURITY;

OPTIMIZATION; STOCHASTICITY; TRANSPORTATION INFRASTRUCTURE; TRANSPORTATION PLANNING; WATERWAY TRANSPORT;

MISSISSIPPI RIVER; UNITED STATES;

EID: 84904981912     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/risa.12175     Document Type: Article

References (72)

1. American Society of Civil Engineers. Report Card for America's Infrastructure, 2009.
2. The National Academies. Disaster Resilience: A National Imperative. Washington, DC: National Academies Press, 2012.
3. Bruneau M, Chang SE, Eguchi RT, Lee GC, O'Rourke TD, Reinhorn AM, Shinozuka M, Tierney K, Wallace WA, von Winterfeldt D. A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra, 2003; 19(4):733-752.
4. McDaniels T, Chang S, Cole D, Mikawoz J, Longstaff H. Fostering resilience to extreme events within infrastructure systems: Characterizing decision contexts for mitigation and adaptation. Global Environmental Change, 2008; 18(2):310-318.
5. Zobel CW. Representing perceived tradeoffs in defining disaster resilience. Decision Support Systems, 2011; 50(2):394-403.
6. Park J, Seager TP, Rao PSC, Convertino M, Linkov I. Integrating risk and resilience approaches to catastrophe management in engineering systems. Risk Analysis, 2013; 33(3):356-367.
7. Duenas-Osorio L, Craig JI, Goodno BJ, Bostrom A. Interdependent response of networked systems. Journal of Infrastructure Systems, 2007; 13(3):185-194.
8. Duenas-Osorio L, Craig JI, Goodno BJ. Seismic response of critical interdependent networks. Earthquake Engineering and Structural Dynamics, 2007; 36(2):285-306.
9. Johansson J, Hassel H, Cedergren A. Vulnerability analysis of interdependent critical infrastructures: Case study of the Swedish railway system. Journal of Critical Infrastructures, 2011; 7(4):289-316.
10. Ulieru M. Design for resilience of networked critical infrastructures. Pp. 540-545 in Proceedings of the Inaugural IEEE International Conference on Digital Ecosystems and Technologies, 2007.
11. Rose A Economic resilience to natural and man-made disasters: Multidisciplinary origins and contextual dimensions. Environmental Hazards, 2007; 7(4):383-398.
12. Haimes YY. On the definition of resilience in systems. Risk Analysis, 2009; 29(4):498-501.
13. Aven T. On some recent definitions and analysis frameworks for risk, vulnerability, and resilience. Risk Analysis, 2011; 31(4):515-522.
14. Klein RJT, Nicholls RJ, Thomalla F. Resilience to natural hazards: How useful is this concept? Global Environmental Change Part B: Environmental Hazards, 2003; 5(1-2):35-45.
15. Zio E, Sansavini G. Component criticality in failure cascade processes of network systems. Risk Analysis, 2011; 31(8):1196-1210.
16. Thekdi SA, Lambert JH. Decision analysis and risk models for land development affecting infrastructure systems. Risk Analysis, 2012; 32(7):1253-1269.
17. Greenberg MR, Lowrie K, Mayer H, Altiok T. Risk-based decision support tools: Protecting rail-centered transit corridors from cascading effects. Risk Analysis, 2011; 31(12):1849-1858.
18. Ramirez-Marquez JE, Rocco CM. Stochastic network interdiction optimization via capacitated network reliability modeling and probabilistic solution discovery. Reliability Engineering and System Safety, 2009; 94(5):913-921.
19. Henry D, Ramirez-Marquez JR. Generic metrics and quantitative approaches for system resilience as a function of time. Reliability Engineering and System Safety, 2012; 99(1):114-122.
20. Barker K, Ramirez-Marquez JE, Rocco CM. Resilience-based network component importance measures. Reliability Engineering and System Safety, 2012; 117(1):89-97.
21. Pant R, Barker K, Ramirez-Marquez JE, Rocco CM. Stochastic measures of resilience and their application to container terminals. Computers and Industrial Engineering (in review).
22. Whitson JC, Ramirez-Marquez JE. Resiliency as a component importance measure in network reliability. Reliability Engineering and System Safety, 2009; 94(10):1685-1693.
23. Schroeder MJ, Lambert JH. Scenario-based multiple criteria analysis for infrastructure policy impacts and planning. Journal of Risk Research, 2011; 14(2):191-214.
24. Agrawal AB, Barker K, Haimes YY. Adaptive multiplayer approach for risk-based decisionmaking: 2006 Virginia gubernatorial inauguration. Systems Engineering, 2011; 14(4):455-470.
25. Rampell, C. Comparing Recessions and Recoveries, 2012. .
26. Cox A, Keller J. Where the power is out and returning across the northeast. .
27. Ta C, Goodchild A, Pitera K. Structuring a definition of resilience for the freight transportation system. Transportation Research Record, 2009; 2097:19-25.
28. Merriam-Webster Online Dictionary. , Accessed October 2011.
29. Elsayed EA. Reliability Engineering, 2nd ed. New York: Wiley, 2012.
30. Gertsbakh IB, Shpungin Y. Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo. Boca Raton, FL: CRC Press, 2010.
31. Miller LE. Evaluation of network reliability calculation methods. White paper. 2004, , Accessed on July 2012.
32. Page LB, Perry JE. A practical implementation of the factoring theorem for network reliability. IEEE Transactions on Reliability, 1988; 37(3):259-267.
33. Balan AO, Traldi L. Preprocessing min-paths for sum of disjoint products. IEEE Transactions on Reliability, 2003; 52(3):289-295.
34. Gebre BA, Ramirez-Marquez JE. Element substitution algorithm for general two-terminal network reliability analyses. IIE Transactions, 2007; 39(3):265-275.
35. Dutuit Y, Rauzy A. Approximate estimation of system reliability via fault trees. Reliability Engineering and System Safety, 2005; 87(2):163-172.
36. Pai P-F. System reliability forecasting by support vector machines with genetic algorithms. Mathematical and Computer Modeling, 2005; 43(3-4):262-274.
37. Crucitti P, Latora V, Marchiori M. Locating critical lines in high-voltage electric power grids. Fluctuation and Noise Letters, 2005; 5(2):L201-L208.
38. Zhang C, Ramirez-Marquez JE, Rocco CM. A new holistic method for reliability performance assessment and critical components detection in complex networks. IIE Transactions, 2011; 43(9):661-675.
39. Nagurney A, Qiang Q. An efficiency measure for dynamic networks with application to the Internet and vulnerability analysis. Netnomics, 2008; 9(1):1-20.
40. Zio E, Sansavini G, Maja R, Marchionni G. An analytical approach to the safety of road networks. International Journal of Reliability, Quality, and Safety Engineering, 2008; 15(1):67-76.
41. Schmidtlein MC, Roland RC, Deutsch C, Piegorsch WW, Cutter SL. A sensitivity analysis of the social vulnerability index. Risk Analysis, 2008; 28(4):1099-1114.
42. Rocco CM, Ramirez-Marquez JE, Salazar D, Hernandez I. Implementation of multiple-objective optimization for vulnerability analysis of complex networks. Journal of Risk and Reliability, 2010; 224(2):87-95.
43. Malaviya A, Rainwater C, Sharkey T. Multi-period network interdiction problems with applications to city-level drug enforcement. IIE Transactions, 2012; 44(5):368-380.
44. Medal H, Sharp SJ, Pohl E, Rainwater C, Mason S. Models for reducing the risk of critical networked infrastructures. International Journal of Risk Assessment and Management, 2011; 15(2-3):99-127.
45. Lim C, Smith JC. Algorithms for discrete and continuous multicommodity flow network interdiction problems. IIE Transactions, 2007; 39(1):15-22.
46. Westmark V. A Definition for information system survivability. IEEE Proceedings of the 37th Hawaii International Conference on System Sciences, 2004.
47. Zolfaghari A, Kaudel FJ. Framework for network survivability performance. IEEE Journal on Selected Areas in Communications, 1994; 12(1):46-51.
48. Kalyoncu H, Sankur B. Estimation of survivability of communication networks. Electronics Letters, 1992; 28(19):1790-1791.
49. Castet J, Saleh J. Survivability and resiliency of spacecraft and space-based networks: A framework for characterization and analysis. American Institute of Aeronautics and Astronautics, AIAA Technical Report 2008-7707.
50. Carpenter S, Walker B, Anderies JM, Abel N. From metaphor to measurement: Resilience of what to what? Ecosystems, 2001; 4(8):765-781.
51. Jackson S. Architecting Resilient Systems: Accident Avoidance and Survival and Recovery from Disruptions. Hoboken, NJ: Wiley, 2009.
52. Nair R, Avetisyan H, Miller-Hooks E. Resilience framework for ports and other intermodal components. Transportation Research Record: Journal of the Transportation Research Board, 2010; 2166:54-65.
53. Pant R, Barker K, Grant FH, Landers TL. Interdependent impacts of inoperability at multi-modal transportation container terminals. Transportation Research Part E, 2011; 47(5):722-737.
54. Hillier FS, Lieberman GJ. Introduction to Operations Research, 9th ed. New York: McGraw-Hill, 2009.
55. Davidson R. Stochastic dominance. In Durlauf SN, Blume LE (eds). The New Palgrave Dictionary of Economics. New York: Palgrave Macmillan, 2008.
56. Dentcheva D, Ruszczyński A. Optimization with stochastic dominance constraints. SIAM Journal on Optimization, 2003; 14(2):548-566.
57. Dentcheva D, Ruszczyński A. Semi-infinite probabilistic optimization: First order stochastic dominance constraints. Optimization, 2004; 53(5-6):583-601.
58. Al-Sharrah G. Ranking using the Copeland Score: A comparison with the Hasse Diagram. Journal of Chemical Information Models, 2010; 50(5):785-791.
59. Yager RR. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Transactions on Systems, Man, and Cybernetics, 1988; 18(1):183-190.
60. Misra N, Gupta N, Dhariyal ID. Preservation of some aging properties and stochastic orders by weighted distributions. Communications in Statistics-Theory and Methods, 2008; 37(5):627-644.
61. Ermatita Hartati S, Wardoyo R, Harjoko A. Development of Copeland Score methods for determine group decisions. International Journal of Advanced Computer Science and Applications, 2013; 4(6):240-242.
62. Simao HP, Powell WB. Numerical methods for simulating transient, stochastic queuing networks - I: Methodology. Transportation Science, 1992; 26(4):296-311.
63. Rodrigue J-P, Debrie J, Fremont A, Gouvernal E. Functions and actors of inland ports: European and North American dynamics. Journal of Transport Geography, 2010; 18(4):519-529.
64. Xu J, Zeng F. On the problems and recommendations of the inland port container in the inspection and quarantine. Journal of Sustainable Development, 2008; 1(3):64-67.
65. Li S, Meng Q, Qu X. An overview of maritime waterway quantitative risk assessment models. Risk Analysis, 2012; 32(3):496-512.
66. Government Accountability Office. Container Security Programs Have Matured, But Uncertainty Persists Over the Future of 100 Percent Scanning. GAO-12-422T. Washington, DC: Government Accountability Office, 2012.
67. US Army Corps of Engineers. 2010. Interactive access to website. .
68. Barker K, Pant R, Baroud H, Landers TL. Interdependent, multi-regional impacts of inoperability at inland waterway ports and network. Proceedings of the Maritime Risk Symposium, Piscataway, NJ, November 7-9, 2011.
69. Schwartz J. Drought clogs traffic on a shrunken Mississippi. New York Times, August 20, 2012. .
70. Jervis R, Bath A. Gulf coast stays on guard in Isaac's wake. USA TODAY, August 31, 2012. .
71. MacKenzie CA, Barker K, Grant FH. Evaluating the consequences of an inland waterway port closure with a dynamic multiregional interdependency model. IEEE Transactions on Systems, Man, and Cybernetics Part A, 2012; 42(2):359-370.
72. Spetzler CS, Von Holstein CSS. Probability encoding in decision analysis. Management Science, 1975; 22(3):340-358.