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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| Format: | Article |
| Language: | deu |
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Unité Mixte de Recherche 8504 Géographie-cités
2018-05-01
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| Series: | Cybergeo |
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| Online Access: | https://journals.openedition.org/cybergeo/29144 |
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| author | Mahefa Mamy Rakotoarisoa Cyril Fleurant Aude Nuscia Taïbi Mathias Rouan Sébastien Caillault Théodore Razakamanana Aziz Ballouche |
| author_facet | Mahefa Mamy Rakotoarisoa Cyril Fleurant Aude Nuscia Taïbi Mathias Rouan Sébastien Caillault Théodore Razakamanana Aziz Ballouche |
| author_sort | Mahefa Mamy Rakotoarisoa |
| collection | DOAJ |
| 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 |
| id | doaj-art-b103ba5faa084221a5b5b7fbf0adc9b2 |
| institution | Kabale University |
| issn | 1278-3366 |
| language | deu |
| publishDate | 2018-05-01 |
| publisher | Unité Mixte de Recherche 8504 Géographie-cités |
| record_format | Article |
| series | Cybergeo |
| spelling | doaj-art-b103ba5faa084221a5b5b7fbf0adc9b22025-08-20T03:39:53ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33662018-05-0110.4000/cybergeo.29144Un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar)Mahefa Mamy RakotoarisoaCyril FleurantAude Nuscia TaïbiMathias RouanSébastien CaillaultThéodore RazakamananaAziz BalloucheNatural 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.https://journals.openedition.org/cybergeo/29144vulnerabilitymulti-agent systemflood |
| spellingShingle | Mahefa Mamy Rakotoarisoa Cyril Fleurant Aude Nuscia Taïbi Mathias Rouan Sébastien 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) Cybergeo vulnerability multi-agent system flood |
| title | 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_short | Un modèle multi-agents pour évaluer la vulnérabilité aux inondations : le cas des villages aux alentours du Fleuve Fiherenana (Madagascar) |
| title_sort | un modele multi agents pour evaluer la vulnerabilite aux inondations le cas des villages aux alentours du fleuve fiherenana madagascar |
| topic | vulnerability multi-agent system flood |
| url | https://journals.openedition.org/cybergeo/29144 |
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