Humanitarian Aid

Elsevier, Transportation Research Part E: Logistics and Transportation Review, Volume 157, January 2022
Humanitarian aid in disasters is critical to saving lives and alleviating human suffering. This paper presents a novel scenario-based robust bi-objective optimization model that integrates medical facility location, casualty transportation, and relief commodity allocation considering triage. The proposed model aims to minimize the total deprivation cost of casualties due to the delayed access to medical services and the total operation cost.
Elsevier, Transportation Research Part E: Logistics and Transportation Review, Volume 149, May 2021
In this paper, we address the problem of humanitarian aids distribution across refugee camps in war-ridden areas from a network design perspective. We show that the problem can be modeled as a variant of multi-period hub location problem with a particular demand pattern resulted by the user's behavior. The problem has been motivated by a case study of Lebanese experience in Syrian war refugee accommodation. We elaborate on the complexity and real-life constraints and, propose a compact formulation of a mathematical model of the problem.
The Sendai Framework for Disaster Risk Reduction (SFDRR) has helped to reduce global disaster risk, but there has been a lack of progress in disaster risk reduction (DRR) for people living in fragile and conflict affected contexts (FCAC). Given the mounting evidence that DRR cannot be implemented through conventional approaches in FCAC, serious efforts must be made to understand how to meet SFDRR's goals.
Foreign aid agencies represent and champion global development priorities within a donor nation. Increasingly however, these agencies sit within donor governments that are strongly committed to upholding the national interest through their development commitments. This paper is concerned with how bilateral aid agencies manage this tension and how they might continue to serve the altruistic aims of development.