2014, Vol.10, No.2

Crisisonomy 2023 KCI Impact Factor : 0.64

pISSN : 2466-1198 / eISSN : 2466-1201
https://journal.kci.go.kr/cemtp

As the modern society is becoming advancement, man-made disaster is continuously increasing combined with a growing disaster dangerous facilities and caused an immeasurable loss of life and property in the area by the human's carelessness, indifference, mistake. Therefore, the local governments’s rapid initial maneuver is very important in order to minimize damage because of the most accessible form, and disaster medical system will require more efficient operation as an important element of disaster management system. Despite the legislating 「The Disaster And Safety Management Basic Act」in 2004, the accidental release of hydrogen fluoride in Gumi in september 2012 has exposed again vulnerabilities of safety and disaster medical system. Using system dynamics analysis, this paper finds the structural cause of the poor response in the initial stages, despite government efforts to improve safety. The result reveals that (ⅰ) the central government’s accessibility limit to disaster area, (ⅱ) the local government’s lack of skill and resources in order to respond disaster, (ⅲ) adequate disaster warning delay make local governments’s rapid initial maneuver harder. This paper has decided to investigate more creative ways of disaster medical system By analyzing and comparing institutional problem and several concerns raised by disaster area residents through the media.

The article draws on exploratory research on the smart disaster management strategies by means of big data utilizing. Big data can read the user's patterns and predict the future. So it is widely used for private and public sector's decision support system. To find out the implications for using big data in disaster management and public sector, this study examines the big data cases such as NOAA(National Oceanic and Atmospheric Administration)'s weather information and USGS(United States Geological Survey)'s earthquake information, Japan Meteorological Agency's earthquake information, NDMI(National Disaster's Management Institute)'s smart big board, Brazil Rio de Janeiro's Intelligent operation center, and Singapore's RAHS(Risk Assessment Horizontal Scanning). The main strategies for the use of big data in the field of disaster management are as follows. First, establishment the big data sharing environment based on government 3.0. Second, construction digital database of past data. Third, construction of participatory disaster management system through the SNS. Fourth, privacy information protection.

Most disasters are generally developed from small accidents in local communities. The local communities fails to effectively response the accidents and then it becomes disasters. Thus improving disaster management capacity would be a long term measure to prevent disasters becoming in a bigger scale. There is no doubt that training and exercise, towards local government officials who are in charge of disaster and safety at local level, is a effective way of improving disaster management capacity but it is difficult to find researches analysed what are the influential factors for effectiveness of disaster and safety training and exercise. This article aims to draw the influential factors for effectiveness of disaster and safety training and exercise in local government. For that, influential factors for training and exercise will be drawn by literature review and this article analyses relations between influential factors and effectiveness of training and exercise by surveying local government officials who are in charge of disaster and safety management. Then based on the analysed result, this article suggest policy implications for improving effectiveness of disaster and safety training and exercise.