A multi-layer network approach to model the situation before and after the occurrence of humanitarian crisis

Aurelie Charles (), Chantal Cherifi () and Guillaume Bouleux ()
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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

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Abstract: The complexity of the situation during a humanitarian crisis makes its overall vision difficult. The response to crisis involves manyheterogeneous entities, including a high diversity of field actors (international organizations, local NGOs, army), infrastructures(air, health, water, road, telecom), transportation means (vehicles), affected populations and available resources. Data available inreal time is often incomplete and dynamic. For example, some roads or other logistical infrastructure may be destroyed by thedisaster and need to be fixed to facilitate humanitarian response operations. Collecting and updating data takes time and istherefore not always considered as a priority, especially in this specific context where resources are scare and population needsare critical. Despite their high impact, both in lives and in dollar, few paper actually studied humanitarian crisis with a complexnetwork approach. While all provide elements to better analyze the situation, they all focus on specific, limited scopes. Thecomplexity and the overall understanding of the situation is therefore limited. This is the limitation we focus on: providing anexhaustive view of the situation, combining various elements. We propose to model the response to a humanitarian crisis with amulti-layer network approach. The model can provide useful insights during operations, to better understand what is going on,and simulate various response scenarios to choose the best way to utilize the resources available. It can also be used in thepreparedness phase, to propose ways to improve the resilience of the actual network.

Keywords: Complex networks; Multi-layer approach; Disaster response; Humanitarian logistics (search for similar items in EconPapers)
Date: 2021-11-24
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Published in 31th European Conference on Operational Research (EURO 2021), Nov 2021, Helsinki, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03579441

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