Supported Evacuation for Disaster Relief through Lexicographic Goal Programming

Inmaculada Flores, M. Teresa Ortuño, Gregorio Tirado and Begoña Vitoriano
Additional contact information
Inmaculada Flores: Faculty of Mathematical Sciences, Complutense University of Madrid, 28040 Madrid, Spain
M. Teresa Ortuño: Faculty of Mathematical Sciences, Complutense University of Madrid, 28040 Madrid, Spain
Gregorio Tirado: Interdisciplinary Mathematics Institute, Complutense University of Madrid, 28040 Madrid, Spain
Begoña Vitoriano: Faculty of Mathematical Sciences, Complutense University of Madrid, 28040 Madrid, Spain

Mathematics, 2020, vol. 8, issue 4, 1-20

Abstract: Disasters have been striking human-beings from the beginning of history and their management is a global concern of the international community. Minimizing the impact and consequences of these disasters, both natural and human-made, involves many decision and logistic processes that should be optimized. A crucial logistic problem is the evacuation of the affected population, and the focus of this paper is the planning of supported evacuation of vulnerable people to safe places when necessary. A lexicographic goal programming model for supported evacuation is proposed, whose main novelties are the classification of potential evacuees according to their health condition, so that they can be treated accordingly; the introduction of dynamism regarding the arrival of potential evacuees to the pickup points, according to their own susceptibility about the disaster and the joint consideration of objectives such us number of evacuated people, operation time and cost, among which no trade-off is possible. The performance of the proposed model is evaluated through a realistic case study regarding the earthquake and tsunami that hit Palu (Indonesia) in September 2018.

Keywords: humanitarian logistics; evacuation; multi-criteria decision making; goal programming; disaster relief (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2227-7390/8/4/648/pdf (application/pdf)
https://www.mdpi.com/2227-7390/8/4/648/ (text/html)

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:gam:jmathe:v:8:y:2020:i:4:p:648-:d:349052

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().