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水灾场景下的地铁车站人员疏散效率研究

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为提升地铁车站在水淹倒灌情况下的人员疏散效率,制定合理的地铁疏散应急预案,本文基于Anylogic仿真软件,构建了淹水倒灌场景下的地铁站,以杭州地铁金沙湖站为例,研究不同水深情况下的地铁人群疏散效率.结果表明:水深、出入口数量等都能对人员安全疏散效率产生影响,设置导流栏能节省18%以上的疏散时间,当站内水深超过20 cm时,因行人行走速度慢导致疏散时间会超过6 min,无法满足安全疏散要求.
Research on the Evacuation Efficiency of People in Subway Stations Under Flooding Scenarios
In order to improve the evacuation efficiency of people in the subway station under the flooding backflow sit-uation and develop a reasonable emergency plan for subway evacuation,this paper builds a subway station under the flooding backflow scenario based on the Anylogic simulation software,taking the Jinsha Lake station of Hangzhou sub-way as an example to study the evacuation efficiency of subway crowd under different water depths,the results show that the water depth and the number of entrances and exits can have an impact on the safety evacuation efficiency of people.Setting the inflow barrier can save more than 18%of evacuation time,and when the water depth in the station exceeds 20 cm,the evacuation time will exceed 6 minutes due to the slow walking speed of pedestrians,which cannot meet the safety evacuation requirements.

traffic safetypedestrian evacuationflooding back-upAnylogicwalking speed

朱文浩、朱海燕、刘志钢

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上海工程技术大学 城市轨道交通学院人因工程实验室,上海 201620

交通安全 行人疏散 淹水倒灌 Anylogic 行走速度

2024

科技通报
浙江省科学技术协会

科技通报

CSTPCDCHSSCD
影响因子:0.457
ISSN:1001-7119
年,卷(期):2024.40(4)
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