This thesis deals with infrastructure network vulnerability analysis in the natural disaster context. It starts from the observation that infrastructure such as water supply or power grid has significant influence on natural disasters’ indirect consequences. The aim is to model the vulnerability to take efficient actions. The scientific approach is divided into two complementary parts. The first one deals with the vulnerability assessment, while the second one focuses on the decision aiding process to be implemented for the assessed vulnerability reducing. The proper vulnerability analysis is based on the analysis objects modelling. In order to achieve this, we will adopt a graph theory representation. A literature review will allow us to identify the graph structure which best suits the context of the thesis. In a multi network analysis environment, interdependences, i.e. relationships between components of the same network or different networks - are a determining factor for any vulnerability model. We have thus proposed an approach to model interdependence compatible with the graph theory. There are two types of relationships: the one first is functional (dependence), while the second one is dysfunctional (influence). The vulnerability is assessed by a simulation-based approach. It is composed of one part relating to the system ability to resist the feared event; and the other part relative to its ability to be back on its nominal state after the disaster. When the vulnerability is determined, the next step will be to take the necessary decisions to manage it. This part on the decision aiding is itself divided into two sub parts: first of all the process to be used for the crisis management is established. Then a methodology for decision aiding is proposed and results on a Decision Support System development.
In the age of the internet and social networks, it is possible to deploy the application on the internet.
| Identifer | oai:union.ndltd.org:univ-toulouse.fr/oai:oatao.univ-toulouse.fr:11005 |
| Date | 25 November 2013 |
| Creators | Kamissoko, Daouda |
| Contributors | Institut National Polytechnique de Toulouse - INPT (FRANCE) |
| Source Sets | Université de Toulouse |
| Language | English |
| Detected Language | English |
| Type | Thesis, NonPeerReviewed |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | http://ethesis.inp-toulouse.fr/archive/00002538/, http://oatao.univ-toulouse.fr/11005/ |
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