Distress among disaster-affected populations: delay in relief provision

Agha Iqbal Ali () and Guven Ince ()
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Agha Iqbal Ali: UMASS Amherst
Guven Ince: Nature Source Genetics

Journal of the Operational Research Society, 2017, vol. 68, issue 5, 533-543

Abstract: 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.

Keywords: humanitarian logistics; planning; distribution; integer program (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1057/s41274-016-0015-4

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