Hua Kang

TL;DR: In this article, the goal is to facilitate a community of practice for disaster recovery modeling, which should include hazard and disaster researchers without modeling experience and not necessarily having any formal training.

TL;DR: A conceptual framework comprised of three components for modeling post-earthquake housing recovery, which can be scaled to model spatiotemporal scenarios of housing recovery to inform jurisdictional-level policies, plans, and interventions to increase residential community resilience.

TL;DR: Using building damage, permitting, and repair data from the 2014 South Napa Earthquake to evaluate a stochastic process post-earthquake recovery model shows a “blind” prediction is shown to adequately capture the shape of the recovery trajectory despite overpredicting the overall pace of the Recovery.

TL;DR: In this paper, an empirical probabilistic utility-based decision model is developed using data from a survey of Los Angeles households, and the results from a multinomial logistic regression showed that the time in residence, neighborhood evacuation level, physical damage to residence, duration of utility disruption and loss of access to the building, household income and earthquake insurance coverage had a statistically significant association with homeowners' decisions.

TL;DR: In this article , the authors developed a relational database to support post-earthquake damage and recovery modeling of building portfolios, including general building characteristics, site properties and shaking intensities, building damage and repair permitting (timing and type) information, and census-blocklevel sociodemographics.