• 대한공간정보학회지
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• 제20권3호
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• pp.91-99
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• 2012

진주시는 과거 발생한 태풍 및 집중호우 등으로 피해를 입은 지역을 대상으로 홍수침수위험지구를 8곳 선정하고 이 지역에 대한 대피소를 지정하여 운영하고 있다. 본 연구에서는 침수위험지구 중 시가지에 위치하고 인구밀도가 높은 나불지구와 상평지구를 연구 대상지역으로 선정하였다. 침수재해가 발생할 경우 대피조건을 고려하여 아동, 일반성인, 노약자로 구분하고 이동속도와 도달시간을 계산하여 대피소의 위치에 대한 적합성 평가를 GIS의 네트워크분석을 적용하였다. 그 결과 아동과 노약자의 경우 대피시간이 많이 소요되어 대피소로 대피하는데 적정대피 계획시간을 초과하고 있으며 일부지역은 일반성인도 규정된 대피시간을 초과하는 것으로 나타났다. 따라서 나불, 상평지구에 현재 지정된 대피소의 문제점을 보완할 수 있는 대피소를 1-2개 추가 지정하여 대피시간에 따른 문제점을 개선하였으며, 향후 대피경보발령과 연령별 대피계획을 보다 구체적으로 구축하여 재해발생 시 인적 물적 피해를 줄일 수 있는 대책 마련이 요구된다.

• International Journal of Advanced Culture Technology
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• 제5권1호
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• pp.58-63
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• 2017

Emergencies and disasters can happen any time without any warning, and things can change and escalate very quickly, and often it is swift and decisive actions that make all the difference. It is a responsibility of the building facility management to ensure that a proven evacuation plan in place to cover various worst scenario to handled automatically inside the facility. To mapping out optimal safe escape routes is a straightforward undertaking, but does not necessarily guarantee residents the highest level of protection. The emergency evacuation navigation approach is a state-of-the-art that designed to evacuate human livings during an emergencies based on real-time decisions using live sensory data with pre-defined optimum path finding algorithm. The poor decision on causalities and guidance may apparently end the evacuation process and cannot then be remedied. This paper propose a cloud connected emergency evacuation system model to react dynamically to changes in the environment in emergency for safest emergency evacuation using IoT based emergency exit sign system. In the previous researches shows that the performance of optimal routing algorithms for evacuation purposes are more sensitive to the initial distribution of evacuees, the occupancy levels, and the type and level of emergency situations. The heuristic-based evacuees routing algorithms have a problem with the choice of certain parameters which causes evacuation process in real-time. Therefore, this paper proposes an evacuee routing algorithm that optimizes evacuation by making using high computational power of cloud servers. The proposed algorithm is evaluated via a cloud-based simulator with different "simulated casualties" are then re-routed using a Dijkstra's algorithm to obtain new safe emergency evacuation paths against guiding evacuees with a predetermined routing algorithm for them to emergency exits. The performance of proposed approach can be iterated as long as corrective action is still possible and give safe evacuation paths and dynamically configure the emergency exit signs to react for real-time instantaneous safe evacuation guidance.