Methodology for Clustering Cities Affected by Natural Disasters

  • Fabiana Santos Lima
  • Daniel de Oliveira
  • Mirian Buss Gonçalves
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 275)

Abstract

This study aims to present a methodology to form clusters by analyzing historical data of disasters in the state of Santa Catarina - Brazil, using the k-means method as a tool for pattern analysis. It can therefore assist in the strategic coordination, in the definition of priorities and in the share of experiences between cities. Therefore, the proposed methodology aims to identify similar regions in order to standardize and suggest a method of prevention and, thus, improve and assist the processes of decision-making regarding the events of Humanitarian Logistics. A computational experiment, applying the proposed methodology, was performed and the obtained results are presented and analyzed at the end.

Keywords

Humanitarian Logistics Clustering Natural Disasters 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Fabiana Santos Lima
    • 1
  • Daniel de Oliveira
    • 1
  • Mirian Buss Gonçalves
    • 1
  1. 1.Department of Production and Systems EngineeringFederal University of Santa CatarinaFlorianopolisBrazil

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