Humanitarian location models under uncertainty

Bayram V., De Gama F. S., Yetiş Kara B., Yaman Patternotte H.

in: Stochastic Problems in Location Analysis, Vlad Marianov,HA Eiselt, Editor, Springer, London/Berlin , London, pp.1, 2022

  • Publication Type: Book Chapter / Chapter Research Book
  • Publication Date: 2022
  • Publisher: Springer, London/Berlin 
  • City: London
  • Page Numbers: pp.1
  • Editors: Vlad Marianov,HA Eiselt, Editor
  • TED University Affiliated: Yes


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 tra c 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. Di erent paradigms for capturing uncertainty are considered for illustrative purposes namely, robust optimization, probabilistic programing and stochastic programming.