• 한국응급구조학회지
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• 제12권1호
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• pp.69-80
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• 2008

During New year's day and Thanksgiving holiday, the 1339 Information Center in Gwangju and Jeonnam received an emergency medical situation and carried out the analysis as follows ; 1. The reason for the higher phone guidance(72%) of the hospital was based on the simple query for the pain control rather than emergency care. This was explained by the unfamiliar environment of the holiday movers. Pharmaceutical guidance(12.6%) in rural area was also given during the holidays. 2. The disease counselling(2.4%) and emergency treatment instruction(First Aid)(1.6%) decreased because of the small number of request for the diseases. This explained the decrease of the disease counselling. 3. The phone calls increased 8-13 times more than usual. Five-day holidays could have more emergency patients than three-day holidays. During New year's day and Thanksgiving day, the number of received phone calls was 6,444(25.7%) and this accounted for one fourth of the total number in 2007. 4. The number of the patients increased on New year's day and Thanksgiving day because most of the medical institutions and pharmacy were off duty. 5. The patients were centered in Internal medicine and pediatrics. This showed the food-borne diseases and air-borne infection such as common cold. 6. During Thanksgiving day, ophthalmologic patients having viral keratoconjunctivitis(Apollo eye disease) increased 8 folds than in New year's day. It was estimated from the continuous epidemic of Apollo eye disease. 7. There broke out the traffic accidents, food poisoning, infectious diseases, dermatological diseases due to seasonal and environmental changes during the holiday move.

• Spatial Information Research
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• 제19권1호
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• pp.83-91
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• 2011

The route finding analysis is an essential geo-related decision support tool in a LBS(Location based Services) and previous researches related to route guidance have been mainly focused on route guidances for vehicles. However, due to the recent spread of personal computing devices such as PDA, PMP and smart phone, route guidance for pedestrians have been increasingly in demand. The pedestrian route guidance is different from vehicle route guidance because pedestrians are affected more surrounding environment than vehicles. Therefore, pedestrian path finding needs considerations of factors affecting walking. This paper aimed to extract factors affecting walking and charting the factors for application factors affecting walking to pedestrian path finding. In this paper, we found various factors about environment of road for pedestrian and extract the factors affecting walking. Factors affecting walking consist of 4 categories traffic, sidewalk, network, safety facility. We calculated weights about each factor using analytic hierarchy process (AHP). Based on weights we calculated scores about each factor's attribute. The weight is maximum score of factor. These scores of factor are used to optimal pedestrian path finding as path finding cost with distance, accessibility.