Humanitarian aid delivery decisions during the early recovery phase of disaster using a discrete choice multi-attribute value method

The humanitarian aid delivery problem associated with the early recovery phase of a disaster often incorporates multiple attributes. In this paper, the relative importance of various humanitarian aid attributes was measured using a discrete choice multi-attribute value method. This approach identifi...

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Bibliographic Details
Published in:Annals of operations research 2019-12, Vol.283 (1-2), p.1211-1225
Main Authors: Jana, R. K., Chandra, Chandra Prakash, Tiwari, Aviral Kumar
Format: Article
Language:English
Subjects:
Business and Management
Combinatorics
Disaster relief
Humanitarian aid
Humanitarianism
Linear programming
Management
Operations research
Operations Research/Decision Theory
Part II
Ranking
Recovery
S.I. : Applications of OR in Disaster Relief Operations
Studies
Theory of Computation
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Summary:The humanitarian aid delivery problem associated with the early recovery phase of a disaster often incorporates multiple attributes. In this paper, the relative importance of various humanitarian aid attributes was measured using a discrete choice multi-attribute value method. This approach identifies all possible non-dominated pairs explicitly ranked by experts and provides an overall complete ranking of attributes. The performance score of each aid delivery plan was then calculated using the attributes’ ranking by solving a corresponding linear programming model. As an application study, the issues pertaining to the early recovery phase of 2017 flood in Assam, India, were analyzed. It was concluded that the ‘delivery amount’ is the most preferred attribute selected by humanitarian experts.
ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-018-3074-x