Un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar)

Natural disasters are frequent in the South West of Madagascar, particularly flooding. Assessing population vulnerability is of major importance. Vulnerability is a theoretical concept; it is not easy to assign it with a numerical value. However, there are several methods to 'measure' vuln...

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Autores principales: Mahefa Mamy Rakotoarisoa, Cyril Fleurant, Aude Nuscia Taibi, Mathias Rouan, Sebastien Caillault, Théodore Razakamanana, Aziz Ballouche
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Publicado: Unité Mixte de Recherche 8504 Géographie-cités 2018
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Acceso en línea:https://doaj.org/article/a6b2067941bd4b5c977819f9fdb0dc86
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spelling oai:doaj.org-article:a6b2067941bd4b5c977819f9fdb0dc862021-12-02T11:11:09ZUn modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar)1278-336610.4000/cybergeo.29144https://doaj.org/article/a6b2067941bd4b5c977819f9fdb0dc862018-05-01T00:00:00Zhttp://journals.openedition.org/cybergeo/29144https://doaj.org/toc/1278-3366Natural disasters are frequent in the South West of Madagascar, particularly flooding. Assessing population vulnerability is of major importance. Vulnerability is a theoretical concept; it is not easy to assign it with a numerical value. However, there are several methods to 'measure' vulnerability to flooding. The most traditional approach is the use of an indicator that is based on the arrangement of several criteria leading on a synthetic index. In this work, we want to add a dynamical aspect to that indicator, using a modeling approach called “multi-agent system” (MAS) which is increasingly prized by geographers. The behavior of all entities brought into play (inhabitants, houses, water flows) during a catastrophic event will be simulated by a model using the agent, i.e. an autonomous individual who acts according to specific rules. Several scenarios are taken into account in order to get a dynamic indicator. This approach allows an intuitive observation of every catastrophic event and gives flexibility to add another dimension to the indicator, the forward-looking aspect of vulnerability that a static indicator cannot account for. In the long run, this type of approach can lead to a predictive model.Mahefa Mamy RakotoarisoaCyril FleurantAude Nuscia TaibiMathias RouanSebastien CaillaultThéodore RazakamananaAziz BalloucheUnité Mixte de Recherche 8504 Géographie-citésarticlevulnerabilitymulti-agent systemfloodGeography (General)G1-922DEENFRITPTCybergeo (2018)
institution DOAJ
collection DOAJ
language DE
EN
FR
IT
PT
topic vulnerability
multi-agent system
flood
Geography (General)
G1-922
spellingShingle vulnerability
multi-agent system
flood
Geography (General)
G1-922
Mahefa Mamy Rakotoarisoa
Cyril Fleurant
Aude Nuscia Taibi
Mathias Rouan
Sebastien Caillault
Théodore Razakamanana
Aziz Ballouche
Un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar)
description Natural disasters are frequent in the South West of Madagascar, particularly flooding. Assessing population vulnerability is of major importance. Vulnerability is a theoretical concept; it is not easy to assign it with a numerical value. However, there are several methods to 'measure' vulnerability to flooding. The most traditional approach is the use of an indicator that is based on the arrangement of several criteria leading on a synthetic index. In this work, we want to add a dynamical aspect to that indicator, using a modeling approach called “multi-agent system” (MAS) which is increasingly prized by geographers. The behavior of all entities brought into play (inhabitants, houses, water flows) during a catastrophic event will be simulated by a model using the agent, i.e. an autonomous individual who acts according to specific rules. Several scenarios are taken into account in order to get a dynamic indicator. This approach allows an intuitive observation of every catastrophic event and gives flexibility to add another dimension to the indicator, the forward-looking aspect of vulnerability that a static indicator cannot account for. In the long run, this type of approach can lead to a predictive model.
format article
author Mahefa Mamy Rakotoarisoa
Cyril Fleurant
Aude Nuscia Taibi
Mathias Rouan
Sebastien Caillault
Théodore Razakamanana
Aziz Ballouche
author_facet Mahefa Mamy Rakotoarisoa
Cyril Fleurant
Aude Nuscia Taibi
Mathias Rouan
Sebastien Caillault
Théodore Razakamanana
Aziz Ballouche
author_sort Mahefa Mamy Rakotoarisoa
title Un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar)
title_short Un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar)
title_full Un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar)
title_fullStr Un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar)
title_full_unstemmed Un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar)
title_sort un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du fleuve fiherenana (madagascar)
publisher Unité Mixte de Recherche 8504 Géographie-cités
publishDate 2018
url https://doaj.org/article/a6b2067941bd4b5c977819f9fdb0dc86
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