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논문 기본 정보

자료유형
학술저널
저자정보
김재홍 (경북대학교) 최준호 (경북대학교) 홍원화 (경북대학교)
저널정보
대한건축학회 대한건축학회 논문집 - 계획계 大韓建築學會論文集 計劃系 第28 第2號
발행연도
2012.2
수록면
215 - 222 (8page)

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초록· 키워드

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With the rapid urbanization, a new transportation has been aggressively introduced and the monorail so called eco-friendly urban railway has recently drawn a big attention. The monorail system costs less than other railroads for construction and has good ride comfort; however, unlike other railroads, its rail is an elevated construction which leaves no shelter at emergency. Moreover, most rails and stations are built inside a city, which brings out a high possibility of direct damage from fire and the secondary damage of fire spread. In fact, this case has been proven right in Seattle monorail fire in 2004, Germany Lathen monorail collision in 2006, and Disneyland monorail collision in 2009 and still increases every year.
Due to the monorail’s big difference from general railroad system, it requires, from the planning stage, a performance based design considering its special feature; however, even domestic and overseas safety laws and regulations categorize it as a general train, resulting high risk at fire. Under this circumstance, Daegu city is constructing the first-ever-in-Korea monorail line going through the urban center. Despite many fire safety devices, given the significance that it is the first monorail introduced in Korea as a public transportation, I believe, a systematic study on prevention system is required to standardize the prevention of and actions against-i.e. evacuation-disasters such as fire respond.
Therefore this study predict the evacuation completion time which used spiral chute or high-rise ladder-lift truck through experiment. Also all segments of Daegu city railroad 3 line monorails into total 48 places at 500m apart were divided and then the risk caused by fire at each point was mapped by accounting for evacuation time of the passengers and responding time of rescue party.

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Abstract
1. 서론
2. 모노레일의 개요 및 피난방식
3. 모노레일 승객 피난시간 예측을 위한 실물 피난실험
4. Network Analyst를 이용한 소방구조대의 접근시간 예측
5. 결론
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