Distress among disaster-affected populations: delay in relief provision

Distress among disaster-affected populations: delay in relief provision

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Article ID: iaor20171501
Volume: 68
Issue: 5
Start Page Number: 533
End Page Number: 543
Publication Date: May 2017
Journal: J Oper Res Soc
Authors: ,
Keywords: behaviour, combinatorial optimization
Abstract:

Central to humanitarian logistics is the minimization of distress among impacted populations in the aftermath of a disaster. In this paper, we characterize two levels of distress, termed criticality and destitution, with respect to the delay provision of relief items. Delay in provision of a relief item will lead to destitution for a tolerable number of days, beyond which it will lead to criticality. We develop a mixed‐integer goal program that quantifies these two metrics with respect to the number of days without provision of each of a set of relief items. The model determines the allocation of resources and the distribution of available relief items in a manner that minimizes criticality and destitution in affected population segments. The use of the model is demonstrated for the aftermath of a catastrophic earthquake in Istanbul, expected to occur by 2030.

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