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

Author

Listed:
  • R. K. Jana

    (Indian Institute of Management Raipur)

  • Chandra Prakash Chandra

    (Indian Institute of Management Raipur)

  • Aviral Kumar Tiwari

    (Montpellier Business School)

Abstract

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.

Suggested Citation

  • R. K. Jana & Chandra Prakash Chandra & Aviral Kumar Tiwari, 2019. "Humanitarian aid delivery decisions during the early recovery phase of disaster using a discrete choice multi-attribute value method," Annals of Operations Research, Springer, vol. 283(1), pages 1211-1225, December.
    • Handle: RePEc:spr:annopr:v:283:y:2019:i:1:d:10.1007_s10479-018-3074-x
    DOI: 10.1007/s10479-018-3074-x
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