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International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries

ISCRAM-med 2017: Information Systems for Crisis Response and Management in Mediterranean Countries pp 154–167Cite as

An Agent-Based Meta-Model for Response Organization Structures

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 301))

Abstract

An effective crisis response requires pre-established response structures as well as a predefined reliable command chain. In the literature, multiple meta-models have been elaborated to describe the disaster management domain. However, in regards to the hierarchical response organizations, we did not find any generic model that can be used to identify the involved multidisciplinary agencies scattered on different decision levels. In this paper, we firstly studied the standardized emergency management command chains and organization structures defined in the emergency plans of France, UK and USA. Then, we elaborate a hierarchical and multi-level agent-based meta-model that defines a generic response command chain structure dependent on the type and severity of a disaster. As proof of concept, we instantiate the proposed meta-model for a given disaster within a given country and then implement it as an agent-based simulator.

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Notes

  1. 1.

    http://www.interieur.gouv.fr/Le-ministere/Securite-civile, consulted 07 April 2017.

  2. 2.

    The DOS acronym for (Directeur d’ Opérations de Secours) is a command position depending on the type of the event.

  3. 3.

    https://www.gov.uk/government/policies/emergency-planning, consulted 07 April 2017.

  4. 4.

    https://www.fema.gov/, consulted 07 April 2017.

  5. 5.

    http://www.globalsecurity.org/military/library/report/call/call_11-07-ch3.htm, consulted 07 April 2017.

  6. 6.

    http://cfbt-us.com/wordpress/?p=74, consulted 07 April 2017.

  7. 7.

    http://www.nfpa.org, consulted 07 April 2017.

  8. 8.

    SDIS acronym for ‘Service Départemental d’Incendie et de Secours’.

  9. 9.

    CODIS acronym for ‘Centre Opérationnel Départemental d’Incendie et de Secours’.

  10. 10.

    SAMU acronym for ‘Service d’Aide Médicale d’Urgence’.

  11. 11.

    https://developers.google.com/maps/documentation/distance-matrix/?hl=fr.

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Author information

Authors and Affiliations

  1. ENSI-RIADI Laboratory, University of Manouba, Manouba, Tunisia

    Chahrazed Labba, Noura Ben Salah & Narjès Bellamine Ben Saoud

Authors
  1. Chahrazed Labba
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  2. Noura Ben Salah
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  3. Narjès Bellamine Ben Saoud
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Corresponding author

Correspondence to Chahrazed Labba .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, Democritus University of Thrace, Xanthi, Greece

    Ioannis M. Dokas

  2. Ecole Nationale des Sciences de l’Informatique & Laboratoire RIADI, Université de la Manouba, Manouba, Tunisia

    Narjès Bellamine-Ben Saoud

  3. Laboratoire d’Informatique, Université de Grenoble, Saint-Martin-d’Hères, France

    Julie Dugdale

  4. Departamento de Informática, Universidad Carlos III de Madrid, Madrid, Spain

    Paloma Díaz

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Labba, C., Salah, N.B., Bellamine Ben Saoud, N. (2017). An Agent-Based Meta-Model for Response Organization Structures. In: Dokas, I., Bellamine-Ben Saoud, N., Dugdale, J., Díaz, P. (eds) Information Systems for Crisis Response and Management in Mediterranean Countries. ISCRAM-med 2017. Lecture Notes in Business Information Processing, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-319-67633-3_13

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