Optimal Emergency Evacuation with Uncertainty

Georgia Fargetta () and Laura Scrimali ()
Additional contact information
Georgia Fargetta: University of Catania
Laura Scrimali: University of Catania

A chapter in Mathematical Analysis in Interdisciplinary Research, 2021, pp 261-279 from Springer

Abstract: Abstract Emergency management after crises or natural disasters is a very important issue shared by many countries. In this chapter, we focus on evacuation planning which is a complex and challenging process able to predict or evaluate different disaster scenarios. In particular, we present an evacuation model where a population has to be evacuated from crisis areas to shelters and propose an optimization formulation for minimizing a combination of the transportation cost and the transportation time. In addition, we admit uncertainty in the size of the population to be evacuated and provide a two-stage stochastic programming model. In order to illustrate the modeling framework, we present a numerical example.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-84721-0_14

Ordering information: This item can be ordered from
http://www.springer.com/9783030847210

DOI: 10.1007/978-3-030-84721-0_14

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().