Abstract

With the aim of fostering the development of robust tools to simulate the impact of natural hazards on structures, lifelines, and communities, the Natural Hazards Engineering Research Infrastructure Computational Modeling and Simulation Center gathered 60 researchers, developers, and practitioners working in natural hazards engineering (NHE) for a workshop to prioritize research questions and identify community needs for data and computational simulation capabilities. Participants used their wide-ranging expertise in earthquake, coastal, and wind hazards from engineering, planning, data sciences, and social sciences perspectives to identify five major thrusts of recommended future work, including detailed suggestions for each: (1) development of housing and household recovery models; (2) integration of existing models into flexible computational workflows; (3) investment in the collection of high-value open data; (4) commitment to sharing and utilizing high-value data; and (5) development of versatile, multidisciplinary testbed studies. Participant responses and workshop data were analyzed with the help of an ontology that the authors designed to support data classification in a broad range of NHE applications. The paper also includes observations and suggestions for planning and conducting interactive workshops of this type.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available in a repository online (Zsarnóczay et al. 2021) in accordance with funder data retention policies.

Acknowledgments

The authors thank every participant (see Table S1 for full list) for devoting 2 days of their time to share their ideas with the broader NHE community during the workshop. We are grateful to Corinna Fong and Matthew Schoettler for their help with the organization; to Rodrigo Costa, Rachel Davidson, Paolo Gardoni, Scott Miles, and Charles Vardeman II for their plenary presentations; and to Jack Baker and Tim Cockerill for faciliating discussions in the breakout rooms. Special thanks to Pablo Heresi, Preetish Kakoty, Maryia Markhvida, Omar Sediek, and Bingyu Zhao for their help with the data collection; and Tamika Bassman for the insightful feedback she provided about the manuscript. This material is based upon work supported by the National Science Foundation under Grant No. 1612843. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

References

Amini, M., and A. M. Memari. 2020. “Review of literature on performance of coastal residential buildings under hurricane conditions and lessons learned.” J. Perform. Constr. Facil. 34 (6): 04020102. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001509.
ASCE. 2019. Prestandard for performance-based wind design. Reston, VA: ASCE.
ATC (Applied Technology Council). 2018a. San Francisco tall buildings study. Redwood City, CA: ATC.
ATC (Applied Technology Council). 2018b. Seismic performance assessment of buildings—Methodology. 2nd ed. FEMA P-58-1. Washington, DC: Federal Emergency Management Agency.
Attary, N., V. U. Unnikrishnan, J. W. van de Lindt, D. T. Cox, and A. R. Barbosa. 2017. “Performance-based tsunami engineering methodology for risk assessment of structures.” Eng. Struct. 141 (4): 676–686. https://doi.org/10.1016/j.engstruct.2017.03.071.
Barbato, M., F. Petrini, V. U. Unnikrishnan, and M. Ciampoli. 2013. “Performance-based hurricane engineering (PBHE) framework.” Struct. Saf. 45 (4): 24–35. https://doi.org/10.1016/j.strusafe.2013.07.002.
Chen, S.-C., M. Chen, N. Zhao, S. Hamid, K. Chatterjee, and M. Armella. 2009. “Florida public hurricane loss model: Research in multi-disciplinary system integration assisting government policy making.” Gov. Inf. Q. 26 (2): 285–294. https://doi.org/10.1016/j.giq.2008.12.004.
Coburn, A., G. Bowman, S. Ruffle, R. Foulser-Piggott, D. Ralph, and M. Tuveson. 2014. A taxonomy of threats for complex risk management. Cambridge, UK: Univ. of Cambridge.
Comerio, M. C. 1998. Disaster hits home: New policy for urban housing recovery. Berkeley, CA: University of California Press.
Cook, D. T., A. B. Liel, D. J. DeBock, and C. B. Haselton. 2021. “Benchmarking FEMA P-58 repair costs and unsafe placards for the Northridge Earthquake: Implications for performance-based earthquake engineering.” Int. J. Disaster Risk Reduct. 56 (12): 102117. https://doi.org/10.1016/j.ijdrr.2021.102117.
Costa, R., T. Haukaas, and S. E. Chang. 2020. “Predicting population displacements after earthquakes.” Sustainable Resilient Infrastruct. 7 (4): 253–271. https://doi.org/10.1080/23789689.2020.1746047.
Deierlein, G. G., F. McKenna, A. Zsarnóczay, T. Kijewski-Correa, A. Kareem, W. Elhaddad, L. Lowes, M. J. Schoettler, and S. Govindjee. 2020. “A cloud-enabled application framework for simulating regional-scale impacts of natural hazards on the built environment.” Front. Built Environ. 6 (4): 558706. https://doi.org/10.3389/fbuil.2020.558706.
Deierlein, G. G., and A. Zsarnóczay. 2021. “State of the art in computational simulation for natural hazards engineering.” Accessed October 31, 2021. https://zenodo.org/record/2579581.
Detweiler, S., and A. Wein. 2018a. “The HayWired earthquake scenario—Engineering implications.” Accessed October 31, 2021. https://doi.org/10.3133/sir20175013v2.
Detweiler, S., and A. Wein. 2018b. “The HayWired earthquake scenario—Societal consequences.” Accessed October 31, 2021. https://doi.org/10.3133/sir20175013v3.
DHS (US Department of Homeland Security). 2016. National disaster recovery framework. 2nd ed. Washington, DC: DHS.
Esnard, A.-M., A. Sapat, and D. Mitsova. 2011. “An index of relative displacement risk to hurricanes.” Nat. Hazards 59 (2): 833–859. https://doi.org/10.1007/s11069-011-9799-3.
Fan, C., C. Zhang, A. Yahja, and A. Mostafavi. 2021. “Disaster city digital twin: A vision for integrating artificial and human intelligence for disaster management.” Int. J. Inf. Manage. 56 (4): 102049. https://doi.org/10.1016/j.ijinfomgt.2019.102049.
FEMA. 2011a. Hazus–MH 2.1: Earthquake Technical manual. Washington, DC: FEMA.
FEMA. 2011b. Hazus–MH 2.1: Flood model technical manual. Washington, DC: FEMA.
FEMA. 2011c. Hazus–MH 2.1: Hurricane model technical manual. Washington, DC: FEMA.
FEMA. 2017. Hazus tsunami model technical guidance. Washington, DC: FEMA.
FEMA. 2018. Hazus 4.2. Washington, DC: FEMA Mitigation Division.
FEMA. 2021. “Flood map service center.” Accessed October 31, 2021. https://msc.fema.gov/portal/home.
Ford, D. N., and C. M. Wolf. 2020. “Smart cities with digital twin systems for disaster management.” J. Manage. Eng. 36 (4): 04020027. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000779.
Gardoni, P., J. van de Lindt, B. Ellingwood, T. McAllister, J. S. Lee, H. Cutler, W. G. Peacock, and D. Cox. 2018. “The interdependent networked community resilience modeling environment (IN-CORE).” In Proc., 16th European Conf. on Earthquake Engineering. Istanbul, Turkey: European Association for Earthquake Engineering.
GeoServer. 2021. “GeoServer—OGC API extension.” Accessed October 31, 2021. https://docs.geoserver.org/latest/en/user/community/ogc-api/index.html.
GitHub Inc. 2021. “GitHub.” Accessed October 31, 2021. https://www.github.com.
GitLab Inc. 2021. “GitLab.” Accessed October 31, 2021. https://www.gitlab.com.
GoFAIR.org. 2021. “Implementation networks.” Accessed October 31, 2021. https://www.go-fair.org/implementation-networks/.
Hamideh, S., W. G. Peacock, and S. Van Zandt. 2018. “Housing recovery after disasters: Primary versus seasonal and vacation housing markets in coastal communities.” Nat. Hazard. Rev. 19 (2): 04018003. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000287.
Hamideh, S., and J. Rongerude. 2018. “Social vulnerability and participation in disaster recovery decisions: Public housing in Galveston after Hurricane Ike.” Nat. Hazards 93 (3): 1629–1648. https://doi.org/10.1007/s11069-018-3371-3.
IRDR (Integrated Research on Disaster Risk). 2014. Peril classification and hazard glossary. Beijing: Integrated Research on Disaster Risk.
Kang, H., Z. Yi, and H. Burton. 2019. “Effect of the Los Angeles soft-story ordinance on the post-earthquake housing recovery of impacted residential communities.” Nat. Hazards 99 (1): 161–188. https://doi.org/10.1007/s11069-019-03734-w.
Kijewski-Correa, T., D. B. Roueche, K. M. Mosalam, D. O. Prevatt, and I. Robertson. 2021. “StEER: A community-centered approach to assessing the performance of the built environment after natural hazard events.” Front. Built Environ. 7 (4): 636197. https://doi.org/10.3389/fbuil.2021.636197.
Kijewski-Correa, T., A. Taflanidis, C. Vardeman, J. Sweet, J. Zhang, R. Snaiki, T. Wu, Z. Silver, and A. Kennedy. 2020. “Geospatial environments for hurricane risk assessment: Applications to situational awareness and resilience planning in New Jersey.” Front. Built Environ. 6 (2): 549106. https://doi.org/10.3389/fbuil.2020.549106.
Kwasinski, A., J. Trainor, B. Wolshon, and F. M. Lavelle. 2016. “A conceptual 812 framework for assessing resilience at the community scale.” Accessed October 31, 2021. https://nvlpubs.nist.gov/nistpubs/gcr/2016/NIST.GCR.16-815001.pdf.
Lautenberger, C. 2017. “Mapping areas at elevated risk of large-scale structure loss using Monte Carlo simulation and wildland fire modeling.” Fire Saf. J. 91 (2): 768–775. https://doi.org/10.1016/j.firesaf.2017.04.014.
Lyskov, A. 2019. “Why data scientists need to lead data evangelism efforts.” Accessed October 31, 2021. https://towardsdatascience.com/why-data-scientists-need-to-lead-data-evangelism-efforts-f433f7fac936.
Marafi, N. A., A. J. Makdisi, M. O. Eberhard, and J. W. Berman. 2020. “Impacts of an M9 Cascadia subduction zone earthquake and Seattle Basin on performance of RC core wall buildings.” J. Struct. Eng. 146 (2): 04019201. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002490.
McAllister, T., C. Clavin, B. Ellingwood, J. van de Lindt, D. Mizzen, and F. Lavelle. 2019. Data, information, and tools needed for community resilience planning and decision-making. Gaithersburg, MD: National Institute of Standards and Technology.
Miles, S. B. 2018. “Participatory disaster recovery simulation modeling for community resilience planning.” Int. J. Disaster Risk Sci. 9 (4): 519–529. https://doi.org/10.1007/s13753-018-0202-9.
Miles, S. B., H. V. Burton, and H. Kang. 2019. “Community of practice for modeling disaster recovery.” Nat. Hazard. Rev. 20 (1): 04018023. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000313.
Morse-Fortier, L. J. 2015. “Performance problems and failures in non-engineered wood-frame buildings.” In Proc., Structures Congress 2015, 730–741. Reston, VA: ASCE.
National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and replicability in science. Washington, DC: National Academies Press.
Nejat, A., and S. Ghosh. 2016. “LASSO model of postdisaster housing recovery: Case study of hurricane sandy.” Nat. Hazard. Rev. 17 (3): 04016007. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000223.
NIST Center for Risk-Based Community Resilience Modeling. 2021. “Identifying data guideline needs for community and regional resilience modeling.” Accessed October 31, 2021. http://resilience.colostate.edu/workshops/20210319.shtml.
Olshansky, R. B., L. D. Hopkins, and L. A. Johnson. 2012. “Disaster and recovery: Processes compressed in time.” Nat. Hazard. Rev. 13 (3): 173–178. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000077.
Open Geospatial Consortium. 2019. “OGC API—Features—Part 1: Core.” Accessed October 31, 2021. https://docs.opengeospatial.org/is/17-069r3/17-069r3.html.
Park, H., M. S. Alam, D. T. Cox, A. R. Barbosa, and J. W. van de Lindt. 2019. “Probabilistic seismic and tsunami damage analysis (PSTDA) of the Cascadia Subduction Zone applied to Seaside, Oregon.” Int. J. Disaster Risk Reduct. 35 (2): 101076. https://doi.org/10.1016/j.ijdrr.2019.101076.
Peacock, W. G., S. Van Zandt, Y. Zhang, and W. E. Highfield. 2014. “Inequities in long-term housing recovery after disasters.” J. Am. Plann. Assoc. 80 (4): 356–371. https://doi.org/10.1080/01944363.2014.980440.
Peek, L., J. Tobin, R. M. Adams, H. Wu, and M. C. Mathews. 2020. “A framework for convergence research in the hazards and disaster field: The natural hazards engineering research infrastructure CONVERGE facility.” Front. Built Environ. 6 (Jan): 110. https://doi.org/10.3389/fbuil.2020.00110.
Poland, C. 2009. Defining resilience: What San Francisco needs from its seismic mitigation policies. San Francisco: San Francisco Bay Area Planning and Urban Research Association.
QGIS (Quantum Geographic Information System). 2021. “Working with OGC and ISO protocols.” Accessed October 31, 2021. https://docs.qgis.org/testing/en/docs/user_manual/working_with_ogc/ogc_client_support.html.
Rathje, E. M., et al. 2020. “Enhancing research in natural hazards engineering through the designsafe cyberinfrastructure.” Front. Built Environ. 6 (4): 547706. https://doi.org/10.3389/fbuil.2020.547706.
Roohi, M., J. W. van de Lindt, N. Rosenheim, Y. Hu, and H. Cutler. 2021. “Implication of building inventory accuracy on physical and socio-economic resilience metrics for informed decision-making in natural hazards.” Struct. Infrastruct. Eng. 17 (4): 534–554. https://doi.org/10.1080/15732479.2020.1845753.
Rosenheim, N., R. Guidotti, P. Gardoni, and W. G. Peacock. 2019. “Integration of detailed household and housing unit characteristic data with critical infrastructure for post-hazard resilience modeling.” Sustainable Resilient Infrastruct. 2019 (1): 1–17. https://doi.org/10.1080/23789689.2019.1681821.
Rosinski, A., C. Strandberg, and S. Cohen. 2021. Multi-hazard inventory/data collection workshop after-action report. Oakland, CA: FEMA Region IX.
Roueche, D. B., T. Kijewski-Correa, K. M. Mosalam, D. O. Prevatt, and I. Robertson. 2019. StEER: Virtual assessment structural team (VAST) handbook: Data enrichment and quality control (DEQC) for US Windstorms—Version 2.0. Notre Dame, IN: Structural Extreme Events Reconnaissance.
Sandink, D., G. Kopp, S. Stevenson, and N. Dale. 2019. Increasing high wind safety for Canadian homes: A foundational document for low-rise residential and small buildings. Toronto: Institute for Catastrophic Loss Reduction.
Shahat, E., C. T. Hyun, and C. Yeom. 2021. “City digital twin potentials: A review and research agenda.” Sustainability 13 (6): 3386. https://doi.org/10.3390/su13063386.
Shepherd, A., M. Jones, D. Vieglais, D. Fils, S. Richard, R. Duerr, L. J. McGibbney, and C. Vardeman. 2020. “Schema.org publishing guidelines for the geosciences v1.1.” Accessed October 31, 2021. https://doi.org/10.5281/zenodo.3736235.
Slotter, R., J. Trainor, F. Nibbs, R. Davidson, J. Kruse, L. Nozick, M. Millea, and D. Kain. 2021. “Stakeholder perceptions of mitigation and insurance: Meeting report.” Accessed October 31, 2021. https://udspace.udel.edu/handle/19716/28933.
Socrata. 2021. “Finding open data.” Accessed October 31, 2021. https://dev.socrata.com/data/.
Sparks, P. 1986. “The response of low-rise non-engineered structures to extreme wind conditions.” J. Wind Eng. Ind. Aerodyn. 23 (4): 181–192. https://doi.org/10.1016/0167-6105(86)90041-3.
Sparks, P., and H. S. Saffir. 1990. “Mitigation of wind damage to non-engineered and marginally engineered buildings.” J. Wind Eng. Ind. Aerodyn. 36 (2): 957–966. https://doi.org/10.1016/0167-6105(90)90092-Q.
Sutley, E. J., M. K. Dillard, and J. W. van de Lindt. 2021. “Community resilience-focused technical investigation of the 2016 Lumberton, North Carolina flood: Community recovery one year later.” Accessed October 31, 2021. https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.1230-2.pdf.
Tyler Technologies. 2021. “Socrata data platform.” Accessed October 31, 2021. https://www.tylertech.com/products/socrata/data-platform.
UNDRR (United Nations Office for Disaster Risk Reduction). 2019. Global assessment report on disaster risk reduction. Geneva: UNDRR.
USGS. 2011. Overview of the ARkStorm scenario. Washington, DC: USGS.
van de Lindt, J. W., W. Gillis Peacock, and J. Mitrani-Reiser. 2018. Community resilience focused technical investigation of the 2016 Lumberton, North Carolina flood: Multi-disciplinary approach. Gaithersburg, MD: National Institute of Standards and Technology.
Wang, C., Q. Yu, K. H. Law, F. McKenna, S. X. Yu, E. Taciroglu, A. Zsarnóczay, W. Elhaddad, and B. Cetiner. 2021. “Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management.” Autom. Constr. 122 (1): 103474. https://doi.org/10.1016/j.autcon.2020.103474.
Wang, D., R. A. Davidson, L. K. Nozick, J. E. Trainor, and J. L. Kruse. 2019. “Computational framework to support government policy-making for hurricane risk management.” Nat. Hazards Rev. 2019 (1): 12. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000348.
Wartman, J., et al. 2020. “Research needs, challenges, and strategic approaches for natural hazards and disaster reconnaissance.” Front. Built Environ. 6 (4): 573068. https://doi.org/10.3389/fbuil.2020.573068.
Wilkinson, M. D., et al. 2016. “The FAIR guiding principles for scientific data management and stewardship.” Sci. Data 3 (1): 160018. https://doi.org/10.1038/sdata.2016.18.
Wyczalkowski, C. K., E. J. van Holm, A. Esnard, and B. S. Lai. 2019. “Uneven neighborhood recovery: Hurricane damage and neighborhood change in the Houston–Galveston Region since 1970.” City Commun. 18 (2): 689–709. https://doi.org/10.1111/cico.12390.
Zhang, Y., and W. G. Peacock. 2009. “Planning for housing recovery? Lessons learned from Hurricane Andrew.” J. Am. Planning Assoc. 76 (1): 5–24. https://doi.org/10.1080/01944360903294556.
Zsarnóczay, A., C. J. Williams, T. Kijewski-Correa, L. Lowes, G. G. Deierlein, A.-M. Esnard, L. A. Johnson, and M. J. Schoettler. 2021. “SimCenter workshop: Simulation and data needs to support disaster recovery planning.” Accessed October 31, 2021. https://doi.org/10.17603/ds2-qghm-9z64.

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Natural Hazards Review
Volume 24Issue 1February 2023

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Received: Oct 31, 2021
Accepted: Sep 1, 2022
Published online: Nov 14, 2022
Published in print: Feb 1, 2023
Discussion open until: Apr 14, 2023

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Research Engineer, Dept. of Civil and Environmental Engineering, Stanford Univ., Stanford, CA 94305 (corresponding author). ORCID: https://orcid.org/0000-0001-6895-1417. Email: [email protected]
Gregory G. Deierlein, F.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Stanford Univ., Stanford, CA 94305. Email: [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Delaware, Newark, DE 19716. ORCID: https://orcid.org/0000-0003-1918-7664. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering and Earth Sciences and Keough School of Global Affairs, Univ. of Notre Dame, IN 46556. ORCID: https://orcid.org/0000-0001-6896-4752. Email: [email protected]
Distinguished University Professor, Public Management and Policy, Georgia State Univ., Atlanta, GA 30303. ORCID: https://orcid.org/0000-0002-6823-7202. Email: [email protected]
Laura N. Lowes, A.M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Washington, Seattle, WA 98195. Email: [email protected]
Laurie Johnson [email protected]
Chief Catastrophe Response and Resiliency Officer, California Earthquake Authority, 801 K St., Suite 1000 Sacramento, CA 95814. Email: [email protected]

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