Constructing quasi-site-specific multivariate probability distribution using hierarchical Bayesian model
In geotechnical engineering, it is challenging to construct a site-specific multivariate
probability distribution model for soil/rock properties because the site-specific data are …
probability distribution model for soil/rock properties because the site-specific data are …
The need to reconcile concepts that characterize systems facing threats
Desirable system performance in the face of threats has been characterized by various
management concepts. Through semistructured interviews with editors of journals in the …
management concepts. Through semistructured interviews with editors of journals in the …
Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data
C Podesta, N Coleman, A Esmalian… - Journal of the …, 2021 - royalsocietypublishing.org
This research establishes a methodological framework for quantifying community resilience
based on fluctuations in a population's activity during a natural disaster. Visits to points-of …
based on fluctuations in a population's activity during a natural disaster. Visits to points-of …
Risk analysis: Celebrating the accomplishments and embracing ongoing challenges
M Greenberg, A Cox, V Bier, J Lambert, K Lowrie… - Risk …, 2020 - Wiley Online Library
As part of the celebration of the 40th anniversary of the Society for Risk Analysis and Risk
Analysis: An International Journal, this essay reviews the 10 most important …
Analysis: An International Journal, this essay reviews the 10 most important …
Review of empirical quantitative data use in lifeline infrastructure restoration modeling
Disaster recovery is considered one of the less-understood phases of the disaster cycle. In
particular, the literature on lifeline infrastructure restoration modeling frequently mentions the …
particular, the literature on lifeline infrastructure restoration modeling frequently mentions the …
Data-driven hierarchical Bayesian model for predicting wall deflections in deep excavations in clay
The current paper presents a data-driven hierarchical Bayesian model (HBM) for predicting
maximum lateral wall deflections in deep excavations in clay. The presented approach can …
maximum lateral wall deflections in deep excavations in clay. The presented approach can …
A hierarchical Bayesian approach for assessing infrastructure networks serviceability under uncertainty: A case study of water distribution systems
Measuring the performance of infrastructure networks is critical to the allocation of resources
before, during, and after a system's disruption. However, the lack of data often hinders the …
before, during, and after a system's disruption. However, the lack of data often hinders the …
Modeling uncertain and dynamic interdependencies of infrastructure systems using stochastic block models
Modeling the resilience of interdependent critical infrastructure (ICI) requires a careful
assessment of interdependencies as these systems are becoming increasingly …
assessment of interdependencies as these systems are becoming increasingly …
[HTML][HTML] Measuring community resilience: A critical analysis of a policy-oriented indicator tool
SB Tan - Environmental and Sustainability Indicators, 2021 - Elsevier
There has been ample interest in community resilience as a buffer against the negative
impacts of disasters, as evident from the proliferation of community resilience indicator …
impacts of disasters, as evident from the proliferation of community resilience indicator …
Overemphasis on recovery inhibits community transformation and creates resilience traps
B Rachunok, R Nateghi - Nature communications, 2021 - nature.com
Building community resilience in the face of climate disasters is critical to achieving a
sustainable future. Operational approaches to resilience favor systems' agile return to the …
sustainable future. Operational approaches to resilience favor systems' agile return to the …