Resilience-Driven Disaster Management of Civil Infrastructure


Abstract eng:
After the occurrence of a natural (e.g. earthquake, hurricane, flood, fire) or technological (e.g. explosion, terrorist attack) extreme event, the distributed infrastructure systems and their individual structural components are likely to be significantly damaged. For the emergency response and the quick socio-economic recovery of the region, transportation networks, lifelines, and infrastructure in general play a role of utmost importance. For this reason, the so called “disaster management” has always to be focused on restoring as quickly as possible the proper functionality of the infrastructure under limited financial resources and other logistic constraints. The main focus of the present paper is to address this problem and provide a general framework to assist the decision making process in these critical situations. In fact, the main issue in these scenarios is to have a practical and robust way to collect and analyze data with a fast and reliable tool that can lead to quick but informed decisions. Several decision support systems for emergency and/or disaster management have been proposed in the last decades. The proposed approach is based on the holistic concept of resilience, which is gaining momentum as metric for the evaluation of the efficiency of the restoration activities. Resilience is used in this paper as one of the optimization criteria for the rehabilitation planning. An illustrative example is presented to clarify the applicability of the proposed approach to transportation networks.

Contributors:
Publisher:
National Technical University of Athens, 2011
Conference Title:
Conference Title:
COMPDYN 2011 - 3rd International Thematic Conference
Conference Venue:
Island of Corfu (GR)
Conference Dates:
2011-05-25 / 2011-05-28
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.



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 Record created 2016-11-14, last modified 2016-11-14


Original version of the author's contribution as presented on CD, section: MS 22 Resilience Assessment of Communities and Infrastructures.:
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