Physical-socio-economic systems integration for community resilience-informed decision-making and policy selection
dc.contributor.author | Wang, Wanting, author | |
dc.contributor.author | van de Lindt, John W., advisor | |
dc.contributor.author | Mahmoud, Hussam, committee member | |
dc.contributor.author | Guo, Yanlin, committee member | |
dc.contributor.author | Cutler, Harvey, committee member | |
dc.date.accessioned | 2023-01-21T01:25:13Z | |
dc.date.available | 2024-01-09T01:25:13Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Natural hazards are damaging communities with cascading catastrophic economic and social consequences at an increasing rate due to climate change and land use policies. Comprehensive community resilience assessment and improvement requires the analyst to develop a model of interacting physical infrastructure systems with socio-economic systems to measure outcomes that result from specific decisions (policies) made. There is limited research in this area currently because of the complexity associated with combining physics-based and data-driven socio-economic models. This dissertation proposes a series of multi-disciplinary community resilience assessment models (e.g., multi-disciplinary disruption assessment and multi-disciplinary recovery assessment) subjected to an illustrative natural hazard across physical infrastructure and socio-economic systems. As illustrative examples, all the proposed methodologies were applied to the Joplin, Missouri, testbed subjected to tornado hazard but are generalizable. The goal is to enable community leaders and stakeholders to better understand the community-wide impacts of a scenario beyond physical damage and further empower them to develop and support short-term and long-term policies and strategies that improve community resilience prior to events. Advancements in multi-disciplinary community resilience modeling can help accelerate the development of building codes and standards to meet the requirements of community-wide resilience goals of the broader built environment, consistent with the performance objectives of individual buildings throughout their service lives. | |
dc.format.medium | born digital | |
dc.format.medium | doctoral dissertations | |
dc.identifier | Wang_colostate_0053A_17537.pdf | |
dc.identifier.uri | https://hdl.handle.net/10217/236056 | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Colorado State University. Libraries | |
dc.relation.ispartof | 2020- | |
dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
dc.title | Physical-socio-economic systems integration for community resilience-informed decision-making and policy selection | |
dc.type | Text | |
dcterms.embargo.expires | 2024-01-09 | |
dcterms.embargo.terms | 2024-01-09 | |
dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
thesis.degree.discipline | Civil and Environmental Engineering | |
thesis.degree.grantor | Colorado State University | |
thesis.degree.level | Doctoral | |
thesis.degree.name | Doctor of Philosophy (Ph.D.) |
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