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Towards a holistic modeling of the humanitarian crisis complex relief system

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  • Chantal Cherifi

    (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)

  • Guillaume Bouleux

    (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)

  • Aurélie 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)

Abstract

A humanitarian crisis relief system involves many entities of various types in interaction. To study such a system, the complex network framework is a good candidate. Some authors proposed mono-layered networks to model and analyze a single aspect of the system. To offer a broader view, we propose a multilayer model. Hence, the multifaced aspect of the system appears in a unified manner.

Suggested Citation

  • Chantal Cherifi & Guillaume Bouleux & Aurélie Charles, 2021. "Towards a holistic modeling of the humanitarian crisis complex relief system," Post-Print hal-03355075, HAL.
    • Handle: RePEc:hal:journl:hal-03355075
    Note: View the original document on HAL open archive server: https://hal.science/hal-03355075
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    References listed on IDEAS

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    1. Martijn Warnier & Vincent Alkema & Tina Comes & Bartel Walle, 2020. "Humanitarian access, interrupted: dynamic near real-time network analytics and mapping for reaching communities in disaster-affected countries," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 815-834, September.
    2. Yagci Sokat, Kezban & Dolinskaya, Irina S. & Smilowitz, Karen & Bank, Ryan, 2018. "Incomplete information imputation in limited data environments with application to disaster response," European Journal of Operational Research, Elsevier, vol. 269(2), pages 466-485.
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