Eunjung Kwon  Minjung Lee  Hyuinho Park  Kyu-Chul Lee

10.5626/JOK.2023.50.8.712

situation-awareness emergency call situation management 119 corpus Decision support

This paper is a study on decision support models for recognizing and responding to disaster situations by the control room receptionist who performs the 119-report reception work, which is directly related to the lives and properties of the people. To provide prompt, accurate, and effective first responders to emergency reports, it is essential to systematically respond according to the received situation from the beginning of the report. However, there are limitations in making decisions based on the individual capabilities of the 119 dispatcher in the face of various reports and frequently changing field conditions. Therefore, this paper proposes a deep learning-based disaster situation awareness model and a response support model that apply to the report reception work based on the 119 situation management standard manual. Lastly, we confirm the validity of the proposed method through experiments.