Optimization of Humanitarian Aid Distribution in Case of an Earthquake and Tsunami in the City of Iquique, Chile

Antonia Ilabaca, Germán Paredes-Belmar, Pamela P. Alvarez

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we introduce, model, and solve a clustered resource allocation and routing problem for humanitarian aid distribution in the event of an earthquake and subsequent tsunami. First, for the preparedness stage, we build a set of clusters to identify, classify, sort, focus, and prioritize the aid distribution. The clusters are built with k-means method and a modified version of the capacitated p-median model. Each cluster has a set of beneficiaries and candidate delivery aid points. Second, vehicle routes are strategically determined to visit the clusters for the response stage. A mixed integer linear programming model is presented to determine efficient vehicle routes, minimizing the aid distribution times. A vulnerability index is added to our model to prioritize aid distribution. A case study is solved for the city of Iquique, Chile.

Original languageEnglish
Article number819
JournalSustainability (Switzerland)
Volume14
Issue number2
DOIs
StatePublished - 1 Jan 2022
Externally publishedYes

Keywords

  • Clustering
  • Disaster management
  • Vehicle routing

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