Study on crowd evacuation in subway transfer station fires based on numerical simulation  被引量:1

在线阅读下载全文

作  者:Feng Du Qian Zhang Kai Wang Weilong Cui Yangyang Guo Yun Deng 

机构地区:[1]Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources,China University of Mining and Technology,Beijing 100083,China [2]School of Emergency Management and Safety Engineering,China University of Mining&Technology(Beijing),Beijing 100083,China [3]College of Transportation Engineering,Tongji University,Shanghai 200092,China

出  处:《Emergency Management Science and Technology》2022年第1期140-147,共8页应急管理科学与技术(英文)

基  金:the support of the National Natural Science Foundation of China(52004291,52130409);the Fundamental Research Funds for the Central Universities(2022XJAQ02);the Innovation Training Program for College Students of CUMTB(202212019).

摘  要:In order to study the influencing factors of fire evacuation bottlenecks and evacuation time in subway transfer stations,a subway transfer station model was built using Pathfinder to simulate the emergency evacuation of passengers in a fire.Using the control variable method,the evacuation under different conditions is simulated by changing the parameters.The effects of the use of escalators,the speed of escalators,preference for stairs and escalators,the use of escalators,the familiarity of exits,the speed of personnel movement and the width of stairs on evacuation time are discussed and analyzed.The results show that the fire evacuation bottlenecks of subway transfer stations is each stair entrance.Evacuation time can be shortened by increasing the speed of escalators,increasing the proportion of escalator walkers,reducing the proportion of passengers who choose familiar exits to escape,increasing the speed of passengers and increasing the width of stairs.

关 键 词:PARAMETERS TRANSFER PASSENGER 

分 类 号:X92[环境科学与工程—安全科学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象