Seismic Resilience of Intermodal Freight Transportation Networks with Ties to Economic Impact Modeling
Publication: Lifelines 2022
ABSTRACT
This study presents a framework to quantify resilience of intermodal freight transportation networks disrupted by seismic events. The framework integrates available seismic fragility and restoration models for infrastructure components, and poses a port operation model along with a network model that couples ports with highways and railways to evaluate freight flow through intermodal transfer nodes, an integration that is currently lacking in existing literature. Emphasis is placed on assessing damage to intermodal systems, functionality evolution for the individual modes, and intermodal freight throughput metrics such as TEUs (twenty-foot equivalent unit). The proposed framework enables loss assessment considering physical and operational disruptions. Furthermore, this work lays a foundation for future integration of the infrastructure resilience model with community scale economic impact models by tracking the class and volume of goods disrupted across the affected region over time. A case study illustrates application of the proposed framework and opportunities for future work leveraging a hypothetical intermodal network consisting of a container seaport connected to roadway and railway networks, exposed to varying levels of scenario seismic hazard events.
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REFERENCES
Ak, A. (2008). Berth and Quay Sheduling: Problems, Models And Solution Methods. In Doctor of Philosophy Thesis (Issue December).
Ambler, C. A., and Kristoff, J. E. (1998). Introducing the North American industry classification system. Government Information Quarterly, 15(3), 263–273. https://doi.org/10.1016/S0740-624X(98)90003-X.
Argyroudis, S., and Kaynia, A. M. (2015). Analytical seismic fragility functions for highway and railway embankments and cuts. Earthquake Engineering & Structural Dynamics, 44(11), 1863–1879. https://doi.org/10.1002/eqe.2563.
Attary, N., Cutler, H., Shields, M., and van de Lindt, J. W. (2020). The economic effects of financial relief delays following a natural disaster. Economic Systems Research, 32(3), 351–377. https://doi.org/10.1080/09535314.2020.1713729.
Boore, D. M., Stewart, J. P., Seyhan, E., and Atkinson, G. M. (2014). NGA-West2 Equations for Predicting PGA, PGV, and 5% Damped PSA for Shallow Crustal Earthquakes. Earthquake Spectra, 30(3), 1057–1085. https://doi.org/10.1193/070113EQS184M.
Burden, L. I. (2012). Forecasting earthquake losses in port systems. In ProQuest Dissertations and Theses (Issue February). https://search.proquest.com/docview/1221581354?accountid=188395.
Burden, L. I., Rix, G., and Werner, S. (2016). Development of a risk framework for forecasting earthquake losses in port systems. Earthquake Spectra, 32(1), 267–284. https://doi.org/10.1193/043013EQS117M.
Cao, X., and Lam, J. S. L. (2018). Simulation-based catastrophe-induced port loss estimation. Reliability Engineering and System Safety. https://doi.org/10.1016/j.ress.2018.02.008.
Chang, S. E. (2000). Disasters and transport systems: Loss, recovery and competition at the Port of Kobe after the 1995 earthquake. Journal of Transport Geography, 8(1), 53–65. https://doi.org/10.1016/S0966-6923(99)00023-X.
Cutler, H., Shields, M., Tavani, D., and Zahran, S. (2016). Integrating engineering outputs from natural disaster models into a dynamic spatial computable general equilibrium model of Centerville. Sustainable and Resilient Infrastructure, 1(3–4), 169–187. https://doi.org/10.1080/23789689.2016.1254996.
Domahidi, A., Chu, E., and Boyd, S. (2013). ECOS: An SOCP solver for embedded systems. 2013 European Control Conference (ECC), 3071–3076. https://doi.org/10.23919/ECC.2013.6669541.
FEMA. (2015). HAZUS-MH 2.1: Technical Manual. National Institute of Building Sciences and Federal Emergency Management Agency (NIBS and FEMA).
Gharehgozli, A. H., Mileski, J., Adams, A., and von Zharen, W. (2017). Evaluating a “wicked problem”: A conceptual framework on seaport resiliency in the event of weather disruptions. Technological Forecasting and Social Change, 121, 65–75. https://doi.org/10.1016/j.techfore.2016.11.006.
González, A. D., Chapman, A., Dueñas-Osorio, L., Mesbahi, M., and D’Souza, R. M. (2017). Efficient Infrastructure Restoration Strategies Using the Recovery Operator. Computer-Aided Civil and Infrastructure Engineering, 32(12), 991–1006. https://doi.org/10.1111/mice.12314.
González, A. D., Dueñas-Osorio, L., Sánchez-Silva, M., and Medaglia, A. L. (2016). The Interdependent Network Design Problem for Optimal Infrastructure System Restoration. Computer-Aided Civil and Infrastructure Engineering, 31(5), 334–350. https://doi.org/10.1111/mice.12171.
Jacobs, L. D., Kosbab, B. D., Leon, R. T., and DesRoches, R. (2011). Seismic Behavior of a Jumbo Container Crane Including Uplift. Earthquake Spectra, 27(3), 745–773. https://doi.org/10.1193/1.3610238.
Jian, W., Liu, C., and Lam, J. S. L. (2019). Cyclone risk model and assessment for East Asian container ports. Ocean and Coastal Management. https://doi.org/10.1016/j.ocecoaman.2019.04.023.
Kosbab, B. D. (2010). Seismic Performance Evaluation of Port Container Cranes Allowed To Uplift. In Georgia Institute of Technology. https://smartech.gatech.edu/handle/1853/33921.
Miller-Hooks, E., Zhang, X., and Faturechi, R. (2012). Measuring and maximizing resilience of freight transportation networks. Computers & Operations Research, 39(7), 1633–1643. https://doi.org/10.1016/j.cor.2011.09.017.
Misra, S. (2020). Seismic Resilience of Rail-Truck Intermodal Freight Transportation Networks.
Misra, S., and Padgett, J. E. (2019). Seismic Fragility of Railway Bridge Classes: Methods, Models, and Comparison with the State of the Art. Journal of Bridge Engineering, 24(12), 04019116. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001485.
Misra, S., Padgett, J. E., Barbosa, A. R., and Webb, B. M. (2020). An expert opinion survey on post-hazard restoration of roadways and bridges: Data and key insights. Earthquake Spectra, 875529301989172. https://doi.org/10.1177/8755293019891722.
Na, U. J., and Shinozuka, M. (2009). Simulation-based seismic loss estimation of seaport transportation system. Reliability Engineering & System Safety, 94(3), 722–731. https://doi.org/10.1016/j.ress.2008.07.005.
Nair, R., Avetisyan, H., and Miller-Hooks, E. (2010). Resilience Framework for Ports and Other Intermodal Components. Transportation Research Record: Journal of the Transportation Research Board, 2166(1), 54–65. https://doi.org/10.3141/2166-07.
Nielson, B. G., and DesRoches, R. (2007). Analytical Seismic Fragility Curves for Typical Bridges in the Central and Southeastern United States. Earthquake Spectra, 23(3), 615–633. https://doi.org/10.1193/1.2756815.
Pachakis, D., and Kiremidjian, A. S. (2004). Estimation of Downtime-Related Revenue Losses in Seaports following Scenario Earthquakes. Earthquake Spectra, 20(2), 427–449. https://doi.org/10.1193/1.1705655.
Rodriguez-Molins, M., Salido, M. A., and Barber, F. (2012). Intelligent planning for allocating containers in maritime terminals. Expert Systems with Applications, 39(1), 978–989. https://doi.org/10.1016/j.eswa.2011.07.098.
Schütt, H. (2011). Handbook of Terminal Planning. In J. W. Böse (Ed.), Operations Research/ Computer Science Interfaces Series (Vol. 49, Issue 1). Springer New York. https://doi.org/10.1007/978-1-4419-8408-1.
Shafieezadeh, A., and Ivey Burden, L. (2014). Scenario-based resilience assessment framework for critical infrastructure systems: Case study for seismic resilience of seaports. Reliability Engineering & System Safety, 132, 207–219. https://doi.org/10.1016/j.ress.2014.07.021.
Wakeman, T. H. (2013). Lessons from Hurricane Sandy for Port Resilience (Issue December). http://www.utrc2.org/sites/default/files/pubs/Final-Hurricane-Sandy-Resilience_0.pdf.
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Lifelines 2022
Pages: 372 - 383
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Published online: Nov 16, 2022
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