• Journal of Service Research and Studies
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• v.12 no.4
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• pp.72-81
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• 2022

As new disasters such as COVID-19, MERS, and earthquakes appear in modern society, the nation's ability to manage uncertain risks is becoming more important. The government is promoting a disaster safety management policy closely related to daily life by reinforcing on-site response capabilities. Therefore, in order to respond more effectively to disasters that have recently been enlarged, complicated, and delocalized, there is a limit to only disaster-related organizations in the public sector. It is necessary to check it and find ways to develop it. In the event of an unpredictable national disaster or infection, the government needs disaster safety management measures closely related to daily life. Accordingly, as an efficient response and strategy such as procedures and methods for funeral support at the scene of a national disaster were needed, a designated funeral home was introduced. In the event of a major disaster, a large number of casualties that exceed the daily work level of the relevant department occur and rapid changes in relief, medical care, funeral and administrative procedures occur accordingly. The purpose of this study is to derive basic operating directions and prompt funeral support plans for funeral homes designated for national disaster preparedness.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.393-393
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• 2018

본 연구에서는 자연재해 발생 시 신속하고 효율적인 재난 대응 의사결정을 지원하기 위하여 재난 재해 정보와 시설물 정보, 공간정보 등이 융합된 통합 인벤토리를 구축하고자 한다. 재난대응 의사결정 지원을 위하여 시설물의 중요도, 위험도, 피해액 산정에 필요한 원천 데이터를 공공데이터포털(data.go.kr)에서 제공하는 공공데이터를 활용하였다. 공공데이터포털의 데이터셋은 파일데이터와 오픈 API, 표준데이터와 국가중점데이터를 제공하고 있다. 파일데이터는 22,306건, 오픈 API는 2,505건, 표준데이터는 58건의 정보를 제공하고 있으며, 국민, 기업 등 수요 중심으로 개방의 효과성과 시급성 등이 높은 41개 분야의 국가중점데이터를 제공하고 있다. 또한 공공데이터를 활용하여 개발된 국내외 다양한 사례와 가공데이터를 공공데이터 활용사례를 통하여 공유하고 있다. 인벤토리 구축을 위하여 국가중점데이터와 데이터카테고리의 국토관리, 재난안전, 산업고용, 공공행정 등 다양한 공공데이터를 검토하여, SOC 시설물과 건축물의 정보를 수집하여 시설물의 중요도와 위험도, 피해액 평가 등 필요 목적에 맞게 최적화 하여 구축하였다. 또한 구축된 다양한 정보와 시설물 평가 모듈간의 원활한 데이터 수급을 위한 연계 모듈과 관리 모듈을 개발하여 구축된 데이터 정보를 표준화하여 유지 관리 할 수 있도록 인벤토리를 구축하였다. 이러한 재난대응 의사결정 지원 통합 인벤토리는 재난대응 의사결정을 신속하고도 효율적으로 가능하게 함으로써 방재업무 지원 및 대국민 서비스를 가능하게 할 것으로 판단된다.

• Water for future
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• v.52 no.6
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• pp.16-21
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• 2019

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.400-401
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• 2022

본 논문에서는 실질적 활용이 미흡한 민방위 장비 사용을 활성화하기 위한 방안으로 '재난관리자원 공동활용시스템(DRSS)'를 분석하고 DRSS 내에서 민방위 장비를 등록하기 위한 방안을 제시한다. 재난관리자원이란 각종 재난의 수습활동에 필요한 물적·인적 자원으로서 재난관리책임기관의 장이 재난에 대비하여 비축·관리 또는 지정·관리하여야 하는 장비자재, 물자, 시설 및 인력을 말한다. DRSS는 평상시에 지자체, 중앙부처, 민간단체에서 보유하고 있는 재난관리자원을 등록, 지속적으로 변동사항을 현행화하고 재난 발생으로 자원이 부족할 경우 인근 기관의 보유 자원을 조회하고 지원 요청하여 현장에 자원을 투입하도록 지원하는 시스템이다. 다만 민방위자원은 현행법상 재난관리자원에 속하지 않기 때문에 DRSS 내에서 활용하기 위해서는 기존에 등록된 재난관리자원과의 중복여부 조사와 함께 중복되지 않은 자원을 별도 분류 후 등록이 필요하다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.125-126
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• 2017

본 논문에서는 융합 신제품의 인증기준을 마련하여 시장출시를 지원하는 "산업융합 신제품 적합성 인증제도"가 최근 증가하고 있는 사회재난 분야 융합 신제품들의 시장출시 지원 시 고려해야 하는 두 가지 상반된 측면(혁신성, 안전성)을 기업의 입장과 제도 운영기관 입장에서 고찰하고 관련 시사점을 도출하였다.

• Review of KIISC
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• v.6 no.1
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• pp.103-116
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• 1996

재난에 관한 내용적 연구로서 실시간 재난복구를 위한 의사결정지원시스템과, 과정적 연구로서 재난복구를 위한 위기관리모형을 설명한다. 또한, 정보시스템의 재난복구전략을 구체적으로 기술하고, 특히 Comdisco사의 실시간 재난복구서비스 사례를 제시하고자 한다.

• Journal of the Society of Disaster Information
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• v.17 no.3
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• pp.465-486
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• 2021

Purpose: Since most disaster information systems are centered on non-disabled people, the reality is that there is a lack of disaster information delivery systems for the vulnerable, such as the disabled, the elderly, and children, who are relatively vulnerable to disasters. The purpose of the service is to improve the safety of the disabled and the elderly by eliminating blind spots of informatization and establishing customized disaster information services to respond to disasters through IoT-based integrated control technology. Method: The model at the core of this study is the disaster alert propagation model and evacuation support model, and it shall be developed by reflecting the behavioral characteristics of the disabled and the elderly in the event of a disaster. The disaster alert propagation model spreads disaster situations collected using IoT technology, and the evacuation support model uses geomagnetic field-based measuring technology to identify the user's indoor location and help the disabled and the elderly evacuate safely. Results: Demonstration model demonstration resulted in an efficient qualitative evaluation of indoor location accuracy, such as the suitability of evacuation route guidance and satisfaction of services from the user's perspective. Conclusion: Disaster information and evacuation support services were established for the safety vulnerable groups of mobile app for model verification. The disaster situation was demonstrated through experts in the related fields and the disabled by limiting it to the fire situation. It was evaluated as "satisfaction" in the adequacy of disaster information delivery and evacuation support, and its functional satisfaction and user UI were evaluated as "normal" due to the nature of the pilot model. Through this, the disaster information and evacuation support services presented in this study were evaluated to support the safety vulnerable groups to a faster disaster evacuation without missing the golden time of disaster evacuation.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.3
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• pp.61-69
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• 2010

Disasters have been diversifying and the scale of disaster has been increasing worldwide due to the global warming and urbanization. Consequently, it is essential to establish the systematic disaster management because the scale of damages has been rapidly increasing. Nowadays, the importance of the standardized disaster management have been realized internationally due to the 9.11 terror and Tsunami. Also, the activities of research and development to utilize and establish the disaster management standards have been increasing. This study mainly focused on generating an efficient operating manual to support the systematic disaster management of the central administration office based on disaster management standard in South Korea. Firstly, the activities and status of disaster management performed by the central administration office were investigated. Accordingly, libraries of work, functions, organizations, references and behavior for disaster management were designed. Then, a method to make the efficient operation manual based on the constructed libraries was presented to maximize the efficiency of disaster management. This emergency operation manual could support the systematic disaster management by defining the work, function, references and the codes of conduct. Thus, central administration office would be able to define methods and procedures from preparation to recovery through the utilization of the operation manual.

• 재활복지
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• v.21 no.2
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• pp.63-88
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• 2017

This study evaluated the actual status of special needs of the hearing-impaired person for disaster response. The analysis revealed a significant level of unmet needs in disaster response for hearing-impaired person. The 5 special needs in disaster response include: 1) communication needs, which involve securing the means to make an emergency rescue request and communicating information during the rescue process; 2) transportation needs, which indicate the effective evacuation capacity and the level of training; 3) medical needs, which address the degree of preparedness for physical and mental emergency measures and the delivery of health information for rescue and first aid process; 4) maintaining functional independence needs, which refer to the level of self-preparedness to minimize damage in disaster situations, and; 5) supervision needs, which correspond to a personalized support system provided to disaster-vulnerable groups.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.219-221
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• 2017

재난정보시스템은 재난정보를 처리하고 해석하는 사람들과 컴퓨터로 이루어진 시스템이다. 지능형 재난 재난정보시스템의 구조를 기반으로 다양한 종류의 재난에 이용되는 인공지능기술을 예방, 대비, 대응, 복구, 지원 단계별로 알아봄으로써 향후 재난관리를 위한 인공지능 기술의 전망을 살펴보고자 한다.