The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Methodology for Assessing the Resilience of Networked Infrastructure
Abstract
In this paper, we outline a method to characterize the behavior of networked infrastructure for natural hazard events such as hurricanes and earthquakes. Our method includes resilience and interdependency measures. Because most urban infrastructure systems rely on electric power to function properly, we focus on the contribution of power delivery systems to post-event infrastructure recovery. We provide a brief example of our calculations using power delivery and telecommunications data collected post-landfall for Hurricane Katrina. The model is an important component of a scheme to develop design strategies for increased resilience of urban infrastructure for extreme natural hazard scenarios.
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Cites
A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities
Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O'Rourke, T. D., Reinhorn, A. M., Shinozuka, M., Tierney, K., Wallace, W. A., & von Winterfeldt, D. (2003) · Earthquake Spectra · doi:10.1193/1.1623497 · Cited by 5,440
Identifying, understanding, and analyzing critical infrastructure interdependencies
(2001) · IEEE Control Systems · doi:10.1109/37.969131 · Cited by 2,851
Risk Modeling, Assessment, And Management
Haimes, Y. Y. (1999) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.1999.760577 · Cited by 625
McDaniels, T., Chang, S., Cole, D., Mikawoz, J., & Longstaff, H. (2008) · Global Environmental Change · doi:10.1016/j.gloenvcha.2008.03.001 · Cited by 464
Risk Modeling, Assessment, and Management
Haimes, Y. Y. (2004) · Wiley eBooks · doi:10.1002/0471723908 · Cited by 319
Negative Binomial Regression of Electric Power Outages in Hurricanes
Liu, H., Davidson, R. A., Rosowsky, D. V., & Stedinger, J. R. (2005) · Journal of Infrastructure Systems · doi:10.1061/(asce)1076-0342(2005)11:4(258 · Cited by 226
Cited by
Battling the extreme: a study on the power system resilience
Bie, Z., Lin, Y., Li, G., & Li, F. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2679040 · Cited by 879
Metrics and quantification of operational and infrastructure resilience in power systems
Panteli, M., Mancarella, P., Trakas, D. N., Kyriakides, E., & Hatziargyriou, N. D. (2017) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2017.2664141 · Cited by 809
Challenges in the vulnerability and risk analysis of critical infrastructures
Zio, E. (2016) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2016.02.009 · Cited by 429
Zio, E. (2018) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2018.04.020 · Cited by 401
Time-dependent resilience assessment and improvement of urban infrastructure systems
Ouyang, M., & Dueñas-Osorio, L. (2012) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4737204 · Cited by 261
Metadata
- Authors
- Reed, D. A., Kapur, K. C., & Christie, R. D.
- Venue
- IEEE Systems Journal
- Published
- 2009-06
- Volume
- 3
- Issue
- 2
- Pages
- 174-180
- ISSN
- 1932-8184 (ISSN-L)
- 1937-9234
- OpenAlex
- W2129214473
- Cited by
- 503
- References
- 6
- FWCI
- 32.08
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
