Optimizing the locations of emergency medical stations for rural areas, using a GIS-based ACO-QAP method: A case study in Iran
Published: 3 October 2022| Version 1 | DOI: 10.17632/rn2rpxvsdt.1
Contributors:
Hamed Ahmadi, , , Description
This dataset contains all raw and result feature classes which were used in our manuscript entitled: "Optimizing the locations of emergency medical stations for rural areas, using a GIS-based ACO-QAP method: A case study in Iran". In addition the optimization codes (ACO-QAP) related to the manuscript were shared in this dataset.
Files
Steps to reproduce
The raw data were gathered from the related organizations. Then using a combinational ACO-QAP method, the optimum locations for locating the multiservice EMS were obtained.
Institutions
University of Tehran, University of Tabriz
Categories
Emergency Medical Service, Geographic Information Systems, Ant Colony Optimization, Multi-Objective Optimization, Rural Area, Facility Location