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http://dx.doi.org/10.7842/kigas.2021.25.3.53

Mathematical Programming and Optimization of the Resource Allocation and Deployment for Disaster Response : AED case study  

Hwang, Seongeun (Dept. of Disaster and Safety, Myongji University)
Lee, Nagyeong (Dept. of Chemical Engineering, Myongji University)
Jang, Dongkuk (Dept. of Disaster and Safety, Myongji University)
Shin, Dongil (Dept. of Disaster and Safety, Myongji University)
Publication Information
Journal of the Korean Institute of Gas / v.25, no.3, 2021 , pp. 53-58 More about this Journal
Abstract
The number of patients with cardiovascular diseases who experience an out-of-hospital cardiac arrest (OHCA) are increasing among young adults as well as the aged population. An automated external defibrillator (AED) is vital in improving survival rates of OHCA victims. Survival rates of OHCA were shown to decline exponentially in time to defibrillation, yet studies in Korea are uncommon that captures the properties of their survival rates in examining optimal locations of AEDs. In this study, we worked on the maximal gradual coverage location problem (MGCLP) with exponential decay coverage function to decide on their optimal locations. The exponential decay coverage function mitigates the drawback of over-estimating survival rates of OHCA patients. It is expected that a more sophisticated facility location problem will be developed to identify the "emergent" characteristics of pedestrians who responds to the OHCA occurrence by incorporating random pedestrian locations and movement through simulation.
Keywords
out-of-hospital cardiac arrest; automated external defibrillator; decay coverage function; maximal gradual coverage location problem;
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