Nampula disaster preparedness case study
Data supporting the Nampula (Mozambique) case study on disaster preparedness presented in our stochastic programming framework. The dataset contains the inputs used for disaster-scenario generation and for the strategic and tactical humanitarian logistics model, including flood and storm scenarios, demand information, the transportation network, warehouse characteristics, and cost and capacity parameters.
- Access the database (to obtain the password contact humlog@ucm.es or adanro01@ucm.es)
Disaster relief logistics
We encourage you to use the data of the following case studies for your own research. If you use the data in a publication, we ask that you cite the following paper:
J. M. Ferrer, F. J. Martín-Campo, M. T. Ortuño, A. J. Pedraza-Martínez, G. Tirado, B. Vitoriano (2018), ‘Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications’, European Journal of Operational Research 269(2), 501-515. doi: 10.1016/j.ejor.2018.02.043
Wildfire management
We encourage you to use the data of the following case studies for your own research. If you use the data in a publication, we ask that you cite the following paper:
Granda, B., & Vitoriano, B. (2026). The team orienteering problem with variable time windows. International Transactions in Operational Research, 33(3), 1705-1732 doi: 10.1111/itor.13570
Database of Disasters Mozambique
Database composed of information from several sources such as EMDAT, Desinventar or INGD.
Author: Antonio Sevilla Sastre (upon the previous work of Eva Salgado and Adán Rodríguez Martínez)
- Access the database (to obtain the password contact humlog@ucm.es or asevillasastre@gmail.com)
