Designing Realistic Scenarios for Disaster Management Quantitative Models

Jorge Vargas Florez, Matthieu Lauras (), Aurelie Charles () and Lionel Dupont ()
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Jorge Vargas Florez: CGI - Centre Génie Industriel - IMT Mines Albi - IMT École nationale supérieure des Mines d'Albi-Carmaux - IMT - Institut Mines-Télécom [Paris] - Comue de Toulouse - Communauté d'universités et établissements de Toulouse
Matthieu Lauras: CGI - Centre Génie Industriel - IMT Mines Albi - IMT École nationale supérieure des Mines d'Albi-Carmaux - IMT - Institut Mines-Télécom [Paris] - Comue de Toulouse - Communauté d'universités et établissements de Toulouse
Aurelie Charles: DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées
Lionel Dupont: CGI - Centre Génie Industriel - IMT Mines Albi - IMT École nationale supérieure des Mines d'Albi-Carmaux - IMT - Institut Mines-Télécom [Paris] - Comue de Toulouse - Communauté d'universités et établissements de Toulouse

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Abstract: Disaster Management has received a lot of attention over the last twenty years, and can now be considered a full research area. But a gap exists between research work proposals and their applications on the field. This is particularly true regarding quantitative approaches. One of the main issues is that the scenarios used to design and validate the proposals are often not accurate and/or too simple compared to the complexity of real situations. Designing realistic scenarios is of prime importance to be able to propose relevant quantitative models which could be implemented by practitioners. This paper tackles this problem by proposing a structured methodology which aims at defining realistic disaster scenarios. The case of earthquakes management in Peru is used to illustrate the consistency of our proposal.

Keywords: Disaster Management; Disaster Scenario; Quantitative Model; Realism (search for similar items in EconPapers)
Date: 2014-05
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Published in 1st International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries (ISCRAM-Med 2014), May 2014, Pennsylvania, United States

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01535857

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