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dc.contributor.advisorPatwardhan, Ananden_US
dc.contributor.authorKerr, Siobhan Elizabethen_US
dc.date.accessioned2019-10-01T05:33:53Z
dc.date.available2019-10-01T05:33:53Z
dc.date.issued2019en_US
dc.identifierhttps://doi.org/10.13016/9ppo-8pbf
dc.identifier.urihttp://hdl.handle.net/1903/25095
dc.description.abstractAs we increasingly consider resilience as a central strategy for addressing climate change, recovery emerges as an important dimension that is often the focus of public policy. The progression of global climate change will cause an increase in the scale and magnitude of disasters, so it is more important than ever to understand how we can not only prevent impacts, but also recover from them. This research was carried out with the primary goal of examining recovery at multiple scales, while simultaneously considering the social and economic forces and community behaviors that influence recovery outcomes. This dissertation proposes new ways of conceptualizing and quantifying recovery and analyzes the way that neighborhood characteristics and community engagement influence the recovery process. The findings emphasize the importance of assessing recovery progress on multiple timescales and highlight the opportunities that emerge as a result of community engagement with local government throughout the recovery process. The first analytical chapter considers the interaction between vulnerability and recovery by studying power outages and restoration following Hurricane Isaac in Louisiana. This approach uses power restoration as a metric by which to better understand short-term recovery of a specific infrastructure system, building a model for recovery that takes into account antecedent conditions, impact, hazard and prioritization. The next chapter considers 311 requests in Houston TX as a potential proxy measure for civic engagement and social capital. This chapter analyzes 311 contact volumes across the City of Houston and identifies the neighborhood characteristics that influence proclivity to call. Finally, the 311 data is used to better understand system-level recovery and community engagement in the recovery process in Houston TX following Hurricane Harvey in 2017. The chapter compares neighborhood-level use of 311 services prior to Hurricane Harvey to the way it was used for storm-related concerns in the weeks directly following the storm.en_US
dc.language.isoenen_US
dc.titlePost-Hurricane Recovery in the United States: A Multi-Scale Approachen_US
dc.typeDissertationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentPublic Policyen_US
dc.subject.pqcontrolledPublic policyen_US
dc.subject.pquncontrolledAdaptationen_US
dc.subject.pquncontrolledHurricanesen_US
dc.subject.pquncontrolledRecoveryen_US
dc.subject.pquncontrolledResilienceen_US
dc.subject.pquncontrolledSocial Capitalen_US


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