Ali Zamani Noori

TL;DR: In this article, an indicator-based method for resilience engineering is proposed to evaluate the resilience of both natural and human-caused disasters, and the method is applied to the problem of resilience engineering.

TL;DR: An integrated platform that implements a community hybrid model with real-time simulation capabilities is presented, which proved to be effective to analyze the emergency and could be used to implement countermeasures that improve community response and overall resilience.

TL;DR: Two indicator-based methods to evaluate the resilience of communities based on the PEOPLES framework are introduced, one of which exploits a knowledge-based fuzzy modeling for its implementation and the other requires data on previous disasters as an input and returns a resilience index for each indicator.

TL;DR: A new methodology to estimate whether the hospital network of San Francisco has enough capacity to withstand the emergency caused by an earthquake is proposed and it is shown that three of the six considered San Francisco’s hospitals cannot provide emergency services to the estimated injured.

TL;DR: In this article, multihazards engineering has paid more attention to analyzing the behavior of a system exposed to different types of hazards and to estimate the loss data from cascading events at different levels of the system.