Disaster Response Logistics

— behavioral analysis — DATA ANALYSIS — optimization

Disaster Response Logistics

This project focuses on improving disaster response logistics through the integration of Unmanned Aerial Vehicles (UAVs) into traditional truck-based relief distribution systems. It aims to develop logistic models that enhance the delivery of critical relief supplies in post-disaster scenarios. The research explores the state-of-the-art and state-of-practice in UAV-truck mixed operations, identifying key features and design considerations to optimize efficiency, responsiveness, and accessibility in disaster relief efforts.

This project is currently work in progress

For more information, please contact the graduate student associated with this project


This project investigates the travel behavior of disaster-affected populations when seeking relief supplies. Focusing on destination, mode, and route choices, it explores how these behaviors influence demand and the equitable distribution of aid during the response stage. Using a mixed-method approach with surveys and focus groups, the study examines the effects of socioeconomic factors, urbanization, and transportation infrastructure on relief-seeking travel. The findings aim to inform people-centric models for more effective, equitable, and accessible disaster relief operations.

This project is sponsored by the Office of the Assistant Secretary for Research and Technology with project number 01955080. You may find more information here.

For more information, please contact the graduate student associated with this project


Collaboration Acknowledgments

We would like to thank the following students for collaborating in our projects

StudentFieldProject
Ricardo ModregoM.S. Industrial EngineeringDisaster Response Logistics via Mixed Truck and Unmanned Aerial Vehicles