Humanitarian Logistics Under Uncertainty: Planning for Sheltering and Evacuation

Vedat Bayram (), Bahar Y. Kara (), Francisco Saldanha-da-Gama () and Hande Yaman ()
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Vedat Bayram: Department of Industrial Engineering
Bahar Y. Kara: Bilkent University
Francisco Saldanha-da-Gama: Aplicações Fundamentais e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa
Hande Yaman: Faculty of Economics and Business, KU Leuven

A chapter in Uncertainty in Facility Location Problems, 2023, pp 81-105 from Springer

Abstract: Abstract This chapter focuses on a major area emerging in the context of humanitarian logistics: emergency evacuation planning and management. Two major aspects are covered: shelter site location and evacuation traffic assignment. Both are discussed separately before an integrated problem is considered. Throughout the chapter, uncertainty in the underlying parameters is assumed. The major sources of uncertainty analyzed are the demand for sheltering and capacity of the edges in the underlying network. Congestion issues emerge in this context that are also considered. Different paradigms for capturing uncertainty are considered for illustrative purposes, namely, robust optimization, chance-constrained programming, and stochastic programming.

Keywords: Humanitarian logistics; Uncertainty; Shelter site location; Evacuation traffic assignment; Mathematical models (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-32338-6_4

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