Document Detail


Resource allocation in integrated preoperational and operational management of natural hazards.
MedLine Citation:
PMID:  19000073     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The management of natural hazards occurring over a territory entails two main phases: a preoperational-or pre-event-phase, whose objective is to relocate resources closer to sites characterized by the highest hazard, and an operational-during the event-phase, whose objective is to manage in real time the available resources by allocating them to sites where their intervention is needed. Obviously, the two phases are closely related, and demand a unified and integrated treatment. This work presents a unifying framework that integrates various decisional problems arising in the management of different kinds of natural hazards. The proposed approach, which is based on a mathematical programming formulation, can support the decisionmakers in the optimal resource allocation before (preoperational phase) and during (operational phase) an emergency due to natural hazard events. Different alternatives of modeling the resources and the territory are proposed and discussed according to their appropriateness in the preoperational and operational phases. The proposed approach can be applied to the management of any natural hazard and, from an integration perspective, may be particularly useful for risk management in civil protection operations. An application related to the management of wildfire hazard is presented.
Authors:
Riccardo Minciardi; Roberto Sacile; Eva Trasforini
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-11-04
Journal Detail:
Title:  Risk analysis : an official publication of the Society for Risk Analysis     Volume:  29     ISSN:  1539-6924     ISO Abbreviation:  Risk Anal.     Publication Date:  2009 Jan 
Date Detail:
Created Date:  2009-01-14     Completed Date:  2009-04-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8109978     Medline TA:  Risk Anal     Country:  United States    
Other Details:
Languages:  eng     Pagination:  62-75     Citation Subset:  IM    
Affiliation:
DIST-Department of Communication Computer and System Sciences, University of Genova, Genova, Italy.
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MeSH Terms
Descriptor/Qualifier:
Conservation of Natural Resources
Decision Support Techniques
Disaster Planning / methods*
Disasters*
International Cooperation
Models, Statistical
Resource Allocation
Risk Assessment
Risk Management

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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