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Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters : A case study of the 2015 Nepal earthquake. / Baharmand, Hossein; Comes, Tina; Lauras, Matthieu.

In: International Journal of Disaster Risk Reduction, Vol. 45, 101455, 2020.

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Baharmand, Hossein ; Comes, Tina ; Lauras, Matthieu. / Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters : A case study of the 2015 Nepal earthquake. In: International Journal of Disaster Risk Reduction. 2020 ; Vol. 45.

BibTeX

@article{e1689df32d064e5c95128899ee63a285,
title = "Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters: A case study of the 2015 Nepal earthquake",
abstract = "In the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus. To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simulations. Our approach supports determining what trade-offs actually matter to facilitate discussions in the presence of multiple stakeholders. To validate our proposal, we extend a location-allocation model and apply our approach to an actual data-set from the 2015 Nepal earthquake response. Our analyses show that with the relative importance of covering demands ≤0.4, the trade-offs between logistics costs and response time affects the numbers and locations of RDCs considerably. We show through a small experiment that the outputs of our approach can effectively support group decision-making to develop relief plans in disasters response.",
keywords = "2015 Nepal earthquake, Group decision-making, Humanitarian response, Monte Carlo simulation, Multiobjective facility location",
author = "Hossein Baharmand and Tina Comes and Matthieu Lauras",
year = "2020",
doi = "10.1016/j.ijdrr.2019.101455",
language = "English",
volume = "45",
journal = "International Journal of Disaster Risk Reduction",
issn = "2212-4209",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters

T2 - International Journal of Disaster Risk Reduction

AU - Baharmand, Hossein

AU - Comes, Tina

AU - Lauras, Matthieu

PY - 2020

Y1 - 2020

N2 - In the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus. To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simulations. Our approach supports determining what trade-offs actually matter to facilitate discussions in the presence of multiple stakeholders. To validate our proposal, we extend a location-allocation model and apply our approach to an actual data-set from the 2015 Nepal earthquake response. Our analyses show that with the relative importance of covering demands ≤0.4, the trade-offs between logistics costs and response time affects the numbers and locations of RDCs considerably. We show through a small experiment that the outputs of our approach can effectively support group decision-making to develop relief plans in disasters response.

AB - In the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus. To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simulations. Our approach supports determining what trade-offs actually matter to facilitate discussions in the presence of multiple stakeholders. To validate our proposal, we extend a location-allocation model and apply our approach to an actual data-set from the 2015 Nepal earthquake response. Our analyses show that with the relative importance of covering demands ≤0.4, the trade-offs between logistics costs and response time affects the numbers and locations of RDCs considerably. We show through a small experiment that the outputs of our approach can effectively support group decision-making to develop relief plans in disasters response.

KW - 2015 Nepal earthquake

KW - Group decision-making

KW - Humanitarian response

KW - Monte Carlo simulation

KW - Multiobjective facility location

UR - http://www.scopus.com/inward/record.url?scp=85076834575&partnerID=8YFLogxK

U2 - 10.1016/j.ijdrr.2019.101455

DO - 10.1016/j.ijdrr.2019.101455

M3 - Article

VL - 45

JO - International Journal of Disaster Risk Reduction

JF - International Journal of Disaster Risk Reduction

SN - 2212-4209

M1 - 101455

ER -

ID: 68293895