Multi-infrastructure restoration modeling to support regional planning for recovery following earthquakes

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dc.contributor.authorDeelstra, Andrew
dc.contributor.supervisorBristow, David
dc.date.accessioned2023-03-20T17:21:37Z
dc.date.available2023-03-20T17:21:37Z
dc.date.copyright2023en_US
dc.date.issued2023-03-20
dc.degree.departmentDepartment of Civil Engineeringen_US
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractThe complexity and interconnected nature of critical infrastructure systems across metropolitan regions presents a unique challenge for communities to understand how they may respond and recover in the face of a major disruption. Disaster recovery modeling facilitates coordination and planning among stakeholders, but detailed system models are often complex and require significant technical skill to construct and interpret. The first part of this work presents the development and assessment of a simplified seismic recovery model for water, wastewater, and power systems in the Metro Vancouver region of British Columbia, Canada. The model considers important geospatial and interdependent characteristics of multi-infrastructure systems without requiring access to complete operational models. The model is expanded in the second part of this work to consider the effectiveness of disaster risk reduction measures on infrastructure service recovery to the population after the earthquake. Finally, a detailed hydraulic water system analysis is compared to the simplified modeling approach for a seismic hazard scenario to consider how results from each compare given various restoration strategies. Results from the three sections of this work demonstrate the utility of a simplified multi-infrastructure modeling approach for assessing recovery at a regional scale, the potential benefits of investing in disaster risk reduction measures to improve recovery outcomes for residents, and aspects of modeling approaches that provide an understanding of their use and benefits for disaster management purposes.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.bibliographicCitationDeelstra, A, Bristow, DN (2023) Methods for Representing Regional Disaster Recovery Estimates: Modeling Approaches and Assessment Tools for Improving Emergency Planning and Preparedness. Natural Hazards, March. https://doi.org/10.1007/s11069-023-05883-5en_US
dc.identifier.urihttp://hdl.handle.net/1828/14912
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectmulti-infrastructure restorationen_US
dc.subjectregional recoveryen_US
dc.subjectresilience analysisen_US
dc.subjectearthquake recoveryen_US
dc.subjectresilience planningen_US
dc.titleMulti-infrastructure restoration modeling to support regional planning for recovery following earthquakesen_US
dc.typeThesisen_US

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