A Bayesian Network Modeling Approach for Time-Varying Flood Resilience Assessment of Housing Infrastructure System
Publication: Natural Hazards Review
Volume 23, Issue 2
Abstract
Natural hazard causes severe types of damage to infrastructure systems at regular intervals, and the occurrence of such events is inevitable. The concept of resilience is adopted to make infrastructure systems more reliable, adaptable, and recoverable against natural disasters. Resilience is defined as the ability of an infrastructure to resist the impact of a disaster and bounce back to its desirable performance level after the disaster. Recovery of infrastructure, which forms a part of resiliency, is a time-dependent process in nature. In this work, a dynamic Bayesian network (BN) model is developed for the resilience assessment of housing infrastructure against flood hazards. The proposed resilience model is then implemented in the testbed of Barak Valley in North-East India. An extensive field survey is performed to collect relevant indicator data for resilience assessment and validation. To assess the recovery process, the housing infrastructure resiliency of the Barak Valley testbed is evaluated and compared between multiple flood event time periods. Lastly, the most critical indicators of the proposed dynamic BN model are identified by performing sensitivity analysis. This study will help the planner, designers, policymakers, and stakeholders to provide resilience-based decisions on flood resiliency of housing infrastructure systems.
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Data Availability Statement
All the data and computer programs used for resilience quantification in this work are available with the corresponding author and can be obtained on request. Sample calculations are provided in the manuscript for reference.
Acknowledgments
The first author (MKS) acknowledges the students’ scholarship received from the ministry of human resource and development, Government of India. Both the authors also gratefully acknowledge Golam Kabir, Assistant Professor, Faculty of Engineering and Applied Sciences, University of Regina, Canada for the valuable discussion on sensitivity analysis and model validation. The second author (SD) gratefully acknowledges the support extended by District Disaster Management Authority, Silchar during this work.
References
ASDMA (Assam State Disaster Management Authority). 2020. “Annual report.” Accessed April 21, 2019. http://sdmassam.nic.in/annual_report_sub.html.
Berche, B., C. Von Ferber, T. Holovatch, and Y. Holovatch. 2009. “Resilience of public transport networks against attacks.” Eur. Phys. J. B 71 (1): 125–137. https://doi.org/10.1140/epjb/e2009-00291-3.
Bruneau, M., S. E. Chang, R. T. Eguchi, G. C. Lee, T. D. O’Rourke, A. M. Reinhorn, M. Shinozuka, K. Tierney, W. A. Wallace, and D. Von Winterfeldt. 2003. “A framework to quantitatively assess and enhance the seismic resilience of communities.” Earthquake Spectra 19 (4): 733–752. https://doi.org/10.1193/1.1623497.
Census. 2011. “District census 2011.” Accessed February 12, 2019. https://www.census2011.co.in/.
Cimellaro, G. P., C. Renschler, A. M. Reinhorn, and L. Arendt. 2016. “PEOPLES: A framework for evaluating resilience.” J. Struct. Eng. 142 (10): 04016063. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001514.
District Report. 2019. “CACHAR district report.” Accessed March 16, 2019. https://www.icssr.org.
Drdácký, M. F. 2010. “Flood damage to historic buildings and structures.” J. Perform. Constr. Facil. 24 (5): 439–445. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000065.
EM-DAT. 2020. “Natural disasters.” Accessed March 12, 2020. https://www.emdat.be/.
FEMA. 2009. “Multi-hazard loss estimation methodology: Flood model. HAZUS-MH MR4 technical manual.” Accessed April 16, 2020. www.fema.gov/plan/prevent/hazus.
Godschalk, D. R. 2003. “Urban hazard mitigation: Creating resilient cities.” Nat. Hazards Rev. 4 (3): 136–143. https://doi.org/10.1061/(ASCE)1527-6988(2003)4:3(136).
Golz, S., R. Schinke, and T. Naumann. 2015. “Assessing the effects of flood resilience technologies on building scale.” Urban Water J. 12 (1): 30–43. https://doi.org/10.1080/1573062X.2014.939090.
Hosseini, S., and K. Barker. 2016a. “A Bayesian network model for resilience-based supplier selection.” Int. J. Prod. Econ. 180 (Oct): 68–87. https://doi.org/10.1016/j.ijpe.2016.07.007.
Hosseini, S., and K. Barker. 2016b. “Modeling infrastructure resilience using Bayesian networks: A case study of inland waterway ports.” Comput. Ind. Eng. 93 (Mar): 252–266. https://doi.org/10.1016/j.cie.2016.01.007.
Hosseini, S., K. Barker, and J. E. Ramirez-Marquez. 2016a. “A review of definitions and measures of system resilience.” Reliab. Eng. Syst. Saf. 145 (Jan): 47–61. https://doi.org/10.1016/j.ress.2015.08.006.
Hosseini, S. A., A. de la Fuente, and O. Pons. 2016b. “Multi-criteria decision-making method for assessing the sustainability of post-disaster temporary housing units technologies: A case study in Bam, 2003.” Sustainable Cities Soc. 20 (Jan): 38–51. https://doi.org/10.1016/j.scs.2015.09.012.
Janjanam, D., S. R. Palivela, and D. K. Nandyala. 2012. “Building Bayesian networks for problems of risk attributable to natural hazards.” Nat. Hazards Rev. 13 (4): 247–259. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000076.
Jones, B., I. Jenkinson, Z. Yang, and J. Wang. 2010. “The use of Bayesian network modelling for maintenance planning in a manufacturing industry.” Reliab. Eng. Syst. Saf. 95 (3): 267–277. https://doi.org/10.1016/j.ress.2009.10.007.
Jones, P. 2017. “Housing resilience and the informal city.” J. Reg. City Plann. 28 (2): 129–139. https://doi.org/10.5614/jrcp.2017.28.2.4.
Kabir, G., N. B. C. Balek, and S. Tesfamariam. 2018. “Consequence-based framework for buried infrastructure systems: A Bayesian belief network model.” Reliab. Eng. Syst. Saf. 180 (Dec): 290–301. https://doi.org/10.1016/j.ress.2018.07.037.
Kammouh, O., P. Gardoni, and G. P. Cimellaro. 2020. “Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks.” Reliab. Eng. Syst. Saf. 198 (Jun): 106813. https://doi.org/10.1016/j.ress.2020.106813.
Koliou, M., J. W. van de Lindt, T. P. McAllister, B. R. Ellingwood, M. Dillard, and H. Cutler. 2020. “State of the research in community resilience: Progress and challenges.” Sustainable Resilient Infrastruct. 5 (3): 131–151.
Kosko, B. 1986. “Fuzzy cognitive maps.” Int. J. Man Mach. Stud. 24 (1): 65–75. https://doi.org/10.1016/S0020-7373(86)80040-2.
Masoomi, H., and J. W. van de Lindt. 2019. “Community-resilience-based design of the built environment.” J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 5 (1): 04018044. https://doi.org/10.1061/AJRUA6.0000998.
Mondoro, A., D. M. Frangopol, and L. Liu. 2018. “Bridge adaptation and management under climate change uncertainties: A review.” Nat. Hazard. Rev. 19 (1): 04017023. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000270.
Mottahedi, A., F. Sereshki, M. Ataei, A. N. Qarahasanlou, and A. Barabadi. 2021. “Resilience estimation of critical infrastructure systems: Application of expert judgment.” Reliab. Eng. Syst. Saf. 9 (Jun): 107849. https://doi.org/10.1016/j.ress.2021.107849.
Nofal, O. M., and J. W. van de Lindt. 2020a. “Minimal building flood fragility and loss function portfolio for resilience analysis at the community level.” Water 12 (8): 2277. https://doi.org/10.3390/w12082277.
Nofal, O. M., and J. W. van de Lindt. 2020b. “Probabilistic flood loss assessment at the community scale: Case study of 2016 flooding in Lumberton, North Carolina.” J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 6 (2): 05020001. https://doi.org/10.1061/AJRUA6.0001060.
Opricovic, S., and G. H. Tzeng. 2003. “Fuzzy multicriteria model for postearthquake land-use planning.” Nat. Hazards Rev. 4 (2): 59–64. https://doi.org/10.1061/(ASCE)1527-6988(2003)4:2(59).
Sen, M. K., and S. Dutta. 2020. “An integrated GIS-BBN approach to quantify resilience of roadways network infrastructure system against flood hazard.” J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 6 (4): 04020045. https://doi.org/10.1061/AJRUA6.0001088.
Sen, M. K., S. Dutta, A. H. Gandomi, and C. Putcha. 2021a. “Case study for quantifying flood resilience of interdependent building–Roadway infrastructure systems.” J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 7 (2): 04021005. https://doi.org/10.1061/AJRUA6.0001117.
Sen, M. K., S. Dutta, and G. Kabir. 2021b. “Flood resilience of housing infrastructure modelling and quantification using Bayesian belief network.” Sustainability 13 (3): 1026. https://doi.org/10.3390/su13031026.
Sen, M. K., S. Dutta, G. Kabir, N. N. Pujari, and S. A. Laskar. 2021c. “An integrated approach for modelling and quantifying housing infrastructure resilience against flood hazard.” J. Cleaner Prod. 288 (Mar): 125526. https://doi.org/10.1016/j.jclepro.2020.125526.
Sen, M. K., S. Dutta, and J. I. Laskar. 2021d. “A hierarchical Bayesian network model for flood resilience quantification of housing infrastructure systems.” J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 7 (1): 04020060. https://doi.org/10.1061/AJRUA6.0001108.
Tesfamariam, S., and M. Saatcioglu. 2008. “Risk-based seismic evaluation of reinforced concrete buildings.” Earthquake Spectra 24 (3): 795–821. https://doi.org/10.1193/1.2952767.
van de Lindt, J. W., W. G. Peacock, J. Mitrani-Reiser, N. Rosenheim, D. Deniz, M. Dillard, and K. Harrison. 2020. “Community resilience-focused technical investigation of the 2016 Lumberton, North Carolina, flood: An interdisciplinary approach.” Nat. Hazards Rev. 21 (3): 04020029. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000387.
Yodo, N., and P. Wang. 2016. “Engineering resilience quantification and system design implications: A literature survey.” J. Mech. Des. 138 (11): 111408. https://doi.org/10.1115/1.4034223.
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Published In
Natural Hazards Review
Volume 23 • Issue 2 • May 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Aug 25, 2021
Accepted: Nov 16, 2021
Published online: Feb 7, 2022
Published in print: May 1, 2022
Discussion open until: Jul 7, 2022
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