Citation

Li MY, Zhao XJ, Fan ZP, Cao PP, Qu XN. Int. J. Disaster Risk Reduct. 2019; 38: e101201.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.ijdrr.2019.101201

PMID

unavailable

Abstract

Due to the severity of natural disasters, multiple areas can be affected simultaneously. Thus, the rescuers need to be assigned to multiple disaster areas to carry out the relief effort. In the process of the assignment of the rescuers, the rescuers usually have different professional skills and subjective preferences for the rescue tasks. Because of the differences of disaster situations, each disaster area has its rescue time requirement for the rescue tasks. This paper develops a model for the assignment of the rescuers considering multiple disaster areas in which the task fitness degrees and the time fitness degrees are introduced. Firstly, the satisfaction degree of each rescuer is calculated according to the intention list provided by each rescuer for the rescue tasks, and the competence degree of each rescuer is calculated according to the evaluation values of the rescuer with respect to the capability evaluation criteria. Then, according to satisfaction degrees and competence degrees of the rescuers, the task fitness degrees between the rescuers and the rescue tasks are obtained. Further, the time fitness degrees of the travel times are calculated based on the actual travel times and the time requirements of different disaster areas, and the matching degrees between each rescuer and the rescue tasks of different disaster areas are obtained by aggregating the task fitness degrees and the time fitness degrees. Afterwards, to maximize the sum of the matching degrees between the rescuers and the rescue tasks, an optimization model is constructed, and the optimal assignment result can be obtained by solving the model. Finally, an example on the assignment of the rescuers after earthquake is given to illustrate the use of the proposed model.

Language: en

Keywords

Assignment of rescuers; Multiple disaster areas; Optimization model; Rescue task; Travel time