Rachel A. Davidson

Affiliations: 
Department of Civil and Environmental Engineering University of Delaware, Newark, DE, United States 
Area:
Civil Engineering, General
Website:
https://firststreet.org/team/rachel-davidson/
Google:
"Rachel Davidson"
Bio:

https://searchworks.stanford.edu/view/3505411

Parents

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Haresh C. Shah grad student 1997 Stanford (Econometree)
 (An urban earthquake disaster risk index)
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Publications

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Wang D, Davidson RA, Nozick LK, et al. (2020) Computational Framework to Support Government Policy-Making for Hurricane Risk Management Natural Hazards Review. 21: 04019012
Zou Y, Stock A, Davidson R, et al. (2020) Perceived attributes of hurricane-related retrofits and their effect on household adoption Natural Hazards. 104: 201-224
Chiew E, Davidson RA, Trainor JE, et al. (2019) The Impact of Grants on Homeowner Decisions to Retrofit to Reduce Hurricane-Induced Wind and Flood Damage Weather, Climate, and Society. 12: 31-46
Yang K, Davidson RA, Blanton B, et al. (2019) Hurricane evacuations in the face of uncertainty: Use of integrated models to support robust, adaptive, and repeated decision-making International Journal of Disaster Risk Reduction. 36: 101093
Yang K, Davidson RA, Vergara H, et al. (2019) Incorporating inland flooding into hurricane evacuation decision support modeling Natural Hazards. 96: 857-878
Frimpong E, Kruse J, Howard G, et al. (2019) Measuring Heterogeneous Price Effects for Home Acquisition Programs in At‐Risk Regions Southern Economic Journal. 85: 1108-1131
Blanton B, Dresback K, Colle B, et al. (2018) An Integrated Scenario Ensemble-Based Framework for Hurricane Evacuation Modeling: Part 2-Hazard Modeling. Risk Analysis : An Official Publication of the Society For Risk Analysis
Davidson RA, Nozick LK, Wachtendorf T, et al. (2018) An Integrated Scenario Ensemble-Based Framework for Hurricane Evacuation Modeling: Part 1-Decision Support System. Risk Analysis : An Official Publication of the Society For Risk Analysis
Bagriacik A, Davidson RA, Hughes MW, et al. (2018) Comparison of statistical and machine learning approaches to modeling earthquake damage to water pipelines Soil Dynamics and Earthquake Engineering. 112: 76-88
Robinson CS, Davidson RA, Trainor JE, et al. (2018) Homeowner acceptance of voluntary property acquisition offers International Journal of Disaster Risk Reduction. 31: 234-242
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