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Allison C. Reilly
Researcher at University of Maryland, College Park
Publications - 23
Citations - 343
Allison C. Reilly is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 7, co-authored 16 publications receiving 235 citations. Previous affiliations of Allison C. Reilly include Johns Hopkins University & University of Michigan.
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Evolution of vulnerability of communities facing repeated hazards
TL;DR: This paper is the first of its kind to build a framework that addresses the complex interactions between repeated hazards, regional damage, mitigation decisions, and community vulnerability and enables researchers and regional planners to visualize and quantify how a community could evolve over time in response to repeated hazards.
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Hurricanes and Power System Reliability-The Effects of Individual Decisions and System-Level Hardening
TL;DR: A validated power-outage forecasting model is used in conjunction with an agent-based model to characterize how a community’s likelihood of losing power in repeated hurricanes is affected by the complex interactions among individuals’ behavioral responses in whether to engage in personal or collective action.
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Gaming the System: Decision Making by Interdependent Critical Infrastructure
TL;DR: How strategic interdependencies may impact performance of coupled systems by shifting investments away from what is collectively best toward decisions that are more myopic and optimal from the perspective of a single infrastructure is demonstrated.
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Sources of uncertainty in interdependent infrastructure and their implications
TL;DR: In this paper, the authors identify, define, and describe two key classes of uncertainty: system uncertainty and modeling uncertainty, and suggest a path forward for treatment and discussion of uncertainty, including what can be learned from other fields involving complex interdependent systems.
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Using data envelopment analysis to evaluate the performance of post-hurricane electric power restoration activities
TL;DR: A framework using data envelopment analysis is introduced to help evaluate post-hurricane restorations through comparison with the experiences of other companies in similar storms, which shows some consistency in performance among individual utilities after the hurricanes they experience.