Other language title :
اراﺋﻪ ﯾﮏ روش ﮐﻤﯽ ﺑﻪ ﻣﻨﻈﻮر رﺗﺒﻪﺑﻨﺪي اﯾﺴﺘﮕﺎهﻫﺎي ﻣﺘﺮو ﺑﺮ اﺳﺎس ﻗﺎﺑﻠﯿﺖ ﺗﺨﻠﯿﻪ ﭘﺬﯾﺮي ﻣﺴﺎﻓﺮان
Title of article :
Method of Grading Subway Stations Based on Evacuation Capability: A Quantitative Method
Author/Authors :
Hosseini, M Department of Mining and Metallurgical Engineering - Amirkabir University of Technology - Tehran, Iran , Madani, H Department of Mining and Metallurgical Engineering - Amirkabir University of Technology - Tehran, Iran , Shahriar, K Department of Mining and Metallurgical Engineering - Amirkabir University of Technology - Tehran, Iran
Pages :
23
From page :
587
To page :
609
Abstract :
Stations are the main components of the subway systems. Despite the progress in the construction and maintenance, stations have always been exposed to the natural and manmade disasters. In such incidents, the station’s evacuation capability has a direct relation with a passenger's life. Various factors affect the station's evacuation capability. Investigation of these factors and evaluation of the station’s evacuation capability have important roles in protecting a passenger's life. For this purpose, the catastrophic events that lead to the evacuation of a station and the factors affecting the evacuation of the station are identified. Due to the difference in the catastrophic event probabilities at each station, the risk of catastrophic events is evaluated. Then the station score is calculated according to the value and weight of the evacuation factors and the wighted influence of the catastrophic events. Accordingly, the proposed model is implemented in the Tehran subway. Based on the results obtained, uncrowded stations, even though served by a small number of passengers, may also have a low evacuation capacity and lead to casualties in an emergency situation. This is due to the lack of emergency management and safety facilities. Also by assessing the risk of catastrophic events at stations and equipping stations on its basis, the degree of safety and evacuation capability can be improved more effectively. The sensitivity analysis of the evacuation factors show that the most effective way to increase the station’s evacuation capability is to improve its status in management factors. Using the proposed model to evaluate the station's evacuation capability is an appropriate method for identifying the stations that have a poor evacuation capability.
Farsi abstract :
اﯾﺴﺘﮕﺎه ﯾﮑﯽ از اﺟﺰاي ﻣﻬﻢ ﺳﯿﺴﺘﻢﻫﺎي ﻗﻄﺎر ﻣﺘﺮو اﺳﺖ ﮐﻪ ﻫﻤﻮاره در ﻣﻌﺮض ﺣﻮادث ﻃﺒﯿﻌﯽ و ﻏﯿﺮ ﻃﺒﯿﻌﯽ ﻗﺮار دارد. ﻫﻨﮕﺎم وﻗﻮع ﺑﺮﺧﯽ ﺣﻮادث ﻣﺜﻞ آﺗﺶﺳﻮرزي، ﺑﻤﺐﮔﺬاري، زﻟﺰﻟﻪ و ﻏﯿﺮه ﻣﺴﺎﻓﺮان ﺑﺎﯾﺪ ﺑﻪ ﺑﯿﺮون از اﯾﺴﺘﮕﺎه ﺗﺨﻠﯿﻪ ﺷﻮﻧﺪ. در ﺻﻮرﺗﯽ ﮐﻪ ﻫﻨﮕﺎم وﻗﻮع ﺣﻮادﺛﯽ از اﯾﻦ دﺳﺖ، ﺗﻤﺎﻣﯽ ﻣﺴﺎﻓﺮان در ﻣﺪت زﻣﺎن ﻣﺸﺨﺺ از اﯾﺴﺘﮕﺎه ﺗﺨﻠﯿﻪ ﻧﺸﻮﻧﺪ، وﻗﻮع ﻓﺎﺟﻌﻪ ﻣﺤﺘﻤﻞ اﺳﺖ. ﺑﻨﺎﺑﺮاﯾﻦ ﻗﺎﺑﻠﯿﺖ ﺗﺨﻠﯿﻪﭘﺬﯾﺮي اﯾﺴﺘﮕﺎه، ﯾﮑﯽ از ﻋﻮاﻣﻞ ﻣﻬﻢ در ﻧﺠﺎت ﺟﺎن ﻣﺴﺎﻓﺮان اﺳﺖ. ﻫﺪف از اﻧﺠﺎم اﯾﻦ ﺗﺤﻘﯿﻖ، اراﺋﻪ ﻣﺪﻟﯽ ﺑﺮاي ﺑﺮرﺳﯽ ﻗﺎﺑﻠﯿﺖ ﺗﺨﻠﯿﻪﭘﺬﯾﺮي اﯾﺴﺘﮕﺎهﻫﺎي ﻣﺘﺮو ﺑﻪ ﻣﻨﻈﻮر ﺷﻨﺎﺧﺖ و ﺿﻌﯿﺖ ﻫﺮ اﯾﺴﺘﮕﺎه و ﺷﻨﺎ ﺳﺎﯾﯽ اﯾ ﺴﺘﮕﺎهﻫﺎي ﭘﺮﺧﻄﺮ اﺳﺖ. ﺑﺪﯾﻦ ﻣﻨﻈﻮر در اﺑﺘﺪا ﺣﻮادث ﻣﻨﺠﺮ ﺑﻪ ﺗﺨﻠﯿﻪ اﯾﺴــﺘﮕﺎه و ﻋﻮاﻣﻞ ﻣﻮﺛﺮ ﺑﺮ آن ﺗﻌﯿﯿﻦ ﺷــﺪه اﺳــﺖ. از آﻧﺠﺎﯾﯽ ﮐﻪ ﺑﻪ دﻟﯿﻞ ﺷــﺮاﯾﻂ ﺟﻐﺮاﻓﯿﺎﯾﯽ، ﻣﺤﻠﯽ، ﻃﺒﯿﻌﯽ، ﺗﻮﭘﻮﮔﺮاﻓﯽ و ﻏﯿﺮه. اﺣﺘﻤﺎل وﻗﻮع ﺣﻮادث ﻣﺨﺘﻠﻒ در ﻫﺮ اﯾﺴﺘﮕﺎه ﻣﺘﻔﺎوت اﺳﺖ، در روش اراﺋﻪ ﺷﺪه ﺳﻄﺢ رﯾﺴﮏ ﻫﺮ ﺣﺎدﺛﻪ در ﻫﺮ اﯾﺴﺘﮕﺎه در اﺑﺘﺪا ارزﯾﺎﺑﯽ، ﺳﭙﺲ اﻣﺘﯿﺎز ﻫﺮ اﯾﺴﺘﮕﺎه ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ ﻣﻘﺪار و وزن ﻫﺮ ﻓﺎﮐﺘﻮر ﺗﺨﻠﯿﻪ و ﺳﻄﺢ رﯾﺴﮏ ﻫﺮ ﺣﺎدﺛﻪ ﻣﺤﺎﺳﺒﻪ ﻣﯽﺷﻮد. در اداﻣﻪ ﻣﺪل اراﺋﻪ ﺷﺪه در ﺳﯿﺴﺘﻢ ﻣﺘﺮو ﺷﻬﺮ ﺗﻬﺮان ﭘﯿﺎدهﺳﺎزي ﺷﺪه اﺳﺖ. ﻧﺘﺎﯾﺞ ﺑﻪ دﺳﺖ آﻣﺪه ﻧﺸﺎن دﻫﻨﺪه آن اﺳﺖ ﮐﻪ اﯾﺴﺘﮕﺎهﻫﺎي ﺧﻠﻮت و ﮐﻢ ﺟﻤﻌﯿﺖ ﺑﻪ دﻟﯿﻞ ﻧﺒﻮد ﺗﺠﻬﯿﺰات اﯾﻤﻨﯽ و ﺳﯿﺴﺘﻢ ﻣﺪﯾﺮﯾﺖ ﺑﺤﺮان، ﻗﺎﺑﻠﯿﺖ ﺗﺨﻠﯿﻪﭘﺬﯾﺮي ﮐﻤﯽ دارﻧﺪ و وﻗﻮع ﺣﺎدﺛﻪ در اﯾﻦ اﯾ ﺴﺘﮕﺎهﻫﺎ ﻣﯽﺗﻮاﻧﺪ ﻣﻨﺠﺮ ﺑﻪ ﻓﺎﺟﻌﻪ ﺷﻮد. ﻫﻤﭽﻨﯿﻦ ﻧﺘﺎﯾﺞ ﻧ ﺸﺎن ﻣﯽدﻫﺪ ﮐﻪ ﺑﺎ ﺑﺮر ﺳﯽ رﯾ ﺴﮏ ﺣﻮادث ﻣﺨﺘﻠﻒ در ﻫﺮ اﯾ ﺴﺘﮕﺎه و ﺗﺠﻬﯿﺰ اﯾ ﺴﺘﮕﺎه ﺑﺮ ﻣﺒﻨﺎي آن، ﺳﻄﺢ اﯾﻤﻨﯽ و ﻗﺎﺑﻠﯿﺖ ﺗﺨﻠﯿﻪﭘﺬﯾﺮي اﯾ ﺴﺘﮕﺎه ﺑﻪ ﻃﻮر ﭼ ﺸﻢﮔﯿﺮي اﻓﺰاﯾﺶ ﻣﯽﯾﺎﺑﺪ. در ﻧﻬﺎﯾﺖ ﺗﺤﻠﯿﻞ ﺣ ﺴﺎ ﺳﯿﺖ ﻋﻮاﻣﻞ ﺗﺨﻠﯿﻪ ﻧ ﺸﺎن داد ﮐﻪ ﻣﻮﺛﺮﺗﺮﯾﻦ راﻫﮑﺎر ﺑﻪ ﻣﻨﻈﻮر اﻓﺰاﯾﺶ ﻗﺎﺑﻠﯿﺖ ﺗﺨﻠﯿﻪﭘﺬﯾﺮي در ﻫﺮ اﯾﺴﺘﮕﺎه، ﺑﻬﺒﻮد وﺿﻌﯿﺖ آن اﯾﺴﺘﮕﺎه در ﻋﻮاﻣﻞ ﻣﺪﯾﺮﯾﺖ ﺑﺤﺮان اﺳت
Keywords :
Tehran subway , Subway station , Evacuation capability , Catastrophic events , Pairwise comparison matrix
Journal title :
Journal of Mining and Environment
Serial Year :
2020
Record number :
2528111
Link To Document :
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