• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2004.11a
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• pp.230-237
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• 2004

• Journal of Radiation Protection and Research
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• v.32 no.2
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• pp.71-78
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• 2007

The purpose of this study is to analyze the social behavior, especially, the evacuation-related social behavior, of the transients in the radiological emergency planning zone(EPZ) of nuclear power plants. So, the meaning and kinds of the evacuation and the significance of the trip generation time(TGT) have been reviewed. The characteristics of the social behavior of the transient around Ulchin, Wolsong and Kori sites was analyzed through field surveys by using the questionnaire. The major findings of this research implications are as follows. First, for securing the safe evacuation, the alternatives to effectively provide the information on the evacuation warning may be prepared. Second, it is necessary to establish the education and training of transient's evacuation. Third, it is needed that the cause and background of the evacuation refusal are identified and the new response plan to secure transient's safety is prepared.

• Journal of the Korean Society for Railway
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• v.10 no.5
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• pp.569-575
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• 2007

This paper presents a study on a Dijkstra algorithm for shortest paths to destinations and a modified algorithm of Multicommodity Network Flow Problem Model with a network transformation for evacuation planning from railroad accident in a directed network.

• International Journal of Advanced Culture Technology
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• v.5 no.1
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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.

• 한국태양에너지학회:학술대회논문집
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• 2009.04a
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• pp.133-138
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• 2009

The purpose of this study is to present an alternative plan in order to reduce the required time to flee from the inside of the gosiwon in danger. The data were derived from changing the width of corridors and emergency exits and the number of stairs in the building EXODUS, which is computer simulation program, The analyzed conclusions from the data are following as below (1) Increasing the exits and the number of stairs are efficient to reduce the accumulated time for standing by. (2) Increasing the number of stairs is efficient to decrease the distance to get out of the building to exit. (3) Increasing the number of stairs is efficient to reduce the time to get out of the building to exit.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.703-707
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• 2008

This paper proposes a method of design and implementation a simulation system in which humans can plan their evacuation paths in a high-rise building considering damages from high temperature and smoke in case of fire. Humans in evacuation search the nearest exit and follow a path to the exit. When humans are evacuating toward an exit, they are going to move with their highest speeds. However, many environmental factors prohibit their fast movements. In this paper, we calculate the evacuation speed of each human considering temperature damage and smoke damage. We restrict the number of humans that can be evacuated per second according to the actual size of the exit door. Experimental results showed that the evacuation speed is affected by the temperature condition and the smoke density.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.672-686
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• 2022

Purpose: This study derived the planning factors affecting the evacuation route of facilities for the disabled and to identify the planning factors that affect each facility. Method: The PLS(Partial Least Square)Regression analysis was used to solve the problem of multicollinearity and number of samples. Result: As a result of analysis, The most important planning elements for each facility were derived as door: closing time (1.131), corridor: ramp for wheelchairs (1.227), stairs: emergency lighting for stairs (1.117), and evacuation space: evacuation space convenience facilities (1.106). Conclusion: In order to plan an effective evacuation route for the disabled, a universal design should be applied to consider the perception, needs, and satisfaction of the disabled, rather than a comprehensive reflection.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.16-22
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• 2017

This study examined the status of resident evacuation sites notified to nearby communities, centered on business sites subject to the risk management plan of Incheon, Siheung, and Ansan. Through an analysis of the meteorological data, the direction of improvement of the site selection process for the safe evacuation of chemical accidents was studied. Among a total of 111 evacuation sites, 30 schools were selected the most, and 2-3 sites were usually selected for evacuation. As a result of an analysis of the Incheon meteorological data of 2016, the frequency of occurrences was 18.8525% in the NNE wind direction, 18.0328% in the NNW wind direction, 12.2951% in the WSW wind direction, 9.0164% in the SSE direction, 8.4700% in the SW direction, 6.5574% in the W direction, and 5.7376% in the S direction. The NNE wind direction showed the highest frequency, but the other winds showed a relatively high frequency, indicating that the annual wind direction was not biased toward one side.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.2
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• pp.617-626
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• 2014

Lately, losses and damage from natural disasters have been increasing. Researchers across various fields in Korea are trying to come up with a response plan, but research for evacuation plans is still far from satisfactory. Hence this paper proposes a model that could find an optimized evacuation route for when disasters occur over wide areas. Development of the model used methods including the Dijkstra shortest path algorithm, feasible path method, genetic algorithm, and pareto efficiency. Computations used parallel computing (SPMD) for high performance. In addition, the developed model is applied to a virtual network to check the validity. Finally the adaptability of the model is verified on a real network by computating for Gumi 1stNational Industrial Complex. Computation results proved that this model is valid and applicable by comparison of the fitness values for before optimization and after optimization. This research can contribute to routing for responder vehicles as well as planning for evacuation by objective when disasters occur.

• Spatial Information Research
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• v.19 no.1
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• pp.1-11
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• 2011

Recently urban area has suffered from frequent flood event by local heavy rain. This study performed flood tests for the Jungnang river using HEC-RAS model. Based on 1m LiDAR data, river geometry data were produced using HEC-GeoRAS. For 100-year frequency flood, 200-year frequency flood, and PMF, flooding areas were estimated. Ten sub-zones of the entire flooding area were identified based on the nearest refugees and used to analyze evacuation paths to the refugees. The results showed that approximately 70% of flooded area were residential, commercial, and transportation areas so that much loss of life and property could be possible. Path analysis showed that the shortest path distances to refugees were about 1000m average. Evacuation warning given at a proper period could minimize loss of life and property. This study provides the guideline for flood evacuation plan in urban area.