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The purpose of this paper is to review the relevant literature in order to identify trends and suggest some possible directions for future research in the framework of humanitarian aid distribution logistics with accessibility constraints.

The authors developed a systematic literature review to study the state of the art on distribution logistics considering accessibility constraints. The electronic databases used were Web of science, Scopus, Science Direct, Jstor, Emerald, EBSCO, Scielo and Redalyc. As a result, 49 articles were reviewed in detail.

This study identified some gaps, as well as some research opportunities. The main conclusions are the need for further studies on the interrelationships and hierarchies of multiple actors, explore intermodality, transshipment options and redistribution relief goods to avoid severe shortages in some nodes and excess inventory in others, studies of the vulnerability of transport networks, correlational analysis of road failures and other future lines.

The bibliography is limited to peer-reviewed academic journals due to their academic relevance, accessibility and ease of searching. Most of the studies included in the review were conducted in high-income countries, which may limit the generalizability of the results to low-income countries. However, the authors focused on databases covering important journals on humanitarian logistics.

This paper contextualises and synthesises research into humanitarian aid distribution logistics with accessibility constrains, highlights key themes and suggests areas for further research.

This study aims to review the prepositioning of relief items literature through a decision-making lens to explore the decisions involved, the factors guiding them and the influence of model design on these decisions. Despite their potential to inform decision-making, quantitative prepositioning models remain underutilised in practice. Understanding the foundational principles that shape model design and their connections to decision-making is crucial for effectively developing and implementing more practical models.

A systematic literature review was conducted, and 97 relevant papers were analysed bibliographically and thematically. The thematic analysis is guided by the value-focused thinking approach, which provides a structured understanding of the decision-making process by focusing on the decision makers’ values.

This study identifies key prepositioning decisions related to facilities, inventory and distribution. It highlights efficiency, effectiveness and equity as the main values guiding prepositioning decisions and examines the mutual influence of model design and decisions. Moreover, a decision-making framework for prepositioning problems has been developed, outlining key steps and relevant decisions.

This research provides novel insights into how the decision-making process regarding prepositioning is reflected in quantitative models. It helps researchers choose model designs that better align with decision makers’ priorities and requirements, increasing the models’ practicality. Additionally, it helps decision makers comprehend quantitative models and the reasons behind their mathematical complexities, ultimately improving the effectiveness of decision-making for prepositioning.