Leveraging social assistance networks for enhanced disaster response logistics

Research output: Contribution to journalArticlepeer-review

Abstract

In this exploratory study, Social Assistance Networks (SANs), adapted from existing Social Assistance Programs (SAPs), are proposed as a new Disaster Response Logistics Structure (DRLS) to improve the efficiency of relief operations. The authors develop and test a framework to evaluate the potential of SANs to function as DRLSs by analyzing their logistical and social integration capabilities. Two case studies, Bienestarina in Colombia and LICONSA in Mexico, are examined to assess their adaptability, capability, and effectiveness in disaster scenarios. The findings indicate that SANs offer a highly integrated social network embedded within communities, capable of efficiently distributing relief supplies. Their networks accrue significant logistical capacity and social cohesion, making them a valuable resource during the disaster response phase. This research highlights the minimal adaptation required for SANs to serve as DRLSs, reducing the burden on relief agencies and improving the coordination of the response efforts. By leveraging the established infrastructure and social connections of SAPs, SANs can effectively bridge the gap between supply sources and affected communities, ensuring timely and equitable distribution of aid. The study underscores the importance of social justice in resilience contexts. It confirms that integrating SANs into preparedness and response plans enhances resilience and mitigates the impacts of disasters on vulnerable communities. This is the first study that explores the connection and potential of integrating social programs into official relief efforts. Its innovative approach presents a promising solution to enhance the efficiency and effectiveness of humanitarian logistics, ultimately contributing to risk reduction, effective disaster management, and improved relief outcomes.

Original languageEnglish (US)
Article number105906
JournalInternational Journal of Disaster Risk Reduction
Volume131
DOIs
StatePublished - Dec 2025

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Safety Research
  • Geology

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