Evaluation of Waterlogging Risk in an Urban Subway Station
Most cities in the world have extensive underground facilities, including public transport and commercial facilities, such as shopping malls, subways, and parks. Safety of underground space has been an important aspect of urban safety. Due to the influences of global climate change and human activit...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/5393171 |
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| _version_ | 1832554607658663936 |
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| author | Haiying Yu Chuan Liang Ping Li Kaijie Niu Faxing Du Junhu Shao Yuyong Liu |
| author_facet | Haiying Yu Chuan Liang Ping Li Kaijie Niu Faxing Du Junhu Shao Yuyong Liu |
| author_sort | Haiying Yu |
| collection | DOAJ |
| description | Most cities in the world have extensive underground facilities, including public transport and commercial facilities, such as shopping malls, subways, and parks. Safety of underground space has been an important aspect of urban safety. Due to the influences of global climate change and human activities, waterlogging disasters in cities are becoming increasingly serious and underground facilities easily suffer from waterlogging disasters. Moreover, waterlogging disasters in cities can cause different degrees of damage to construction period and operating period of urban subway stations. By using the optimal combination weighting method combining subjective and objective weighting, this study assigned weights to evaluation factors. Based on this, a fuzzy synthetic evaluation model for waterlogging risk in the construction and operating periods of urban subway stations was established. Furthermore, the model was applied and verified to be effective in Chengdu Metro Line 4, Sichuan province, China, and the evaluation results coincided with the actual situation. The model in the study provides a new idea for evaluating waterlogging risks in urban subway stations, and these results can offer important information for local government to strengthen management on waterlogging risks. |
| format | Article |
| id | doaj-art-fe93e19336424e5d8afcdd8df7544aef |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-fe93e19336424e5d8afcdd8df7544aef2025-02-03T05:51:07ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/53931715393171Evaluation of Waterlogging Risk in an Urban Subway StationHaiying Yu0Chuan Liang1Ping Li2Kaijie Niu3Faxing Du4Junhu Shao5Yuyong Liu6Sichuan University, Chengdu, ChinaSichuan University, Chengdu, ChinaTsinghua University, Beijing, ChinaSichuan University, Chengdu, ChinaChina Three Gorges University, Yichang, ChinaSichuan Normal University, Chengdu, ChinaChina Railway Southwest Research Institute Co., LTD, Chengdu, ChinaMost cities in the world have extensive underground facilities, including public transport and commercial facilities, such as shopping malls, subways, and parks. Safety of underground space has been an important aspect of urban safety. Due to the influences of global climate change and human activities, waterlogging disasters in cities are becoming increasingly serious and underground facilities easily suffer from waterlogging disasters. Moreover, waterlogging disasters in cities can cause different degrees of damage to construction period and operating period of urban subway stations. By using the optimal combination weighting method combining subjective and objective weighting, this study assigned weights to evaluation factors. Based on this, a fuzzy synthetic evaluation model for waterlogging risk in the construction and operating periods of urban subway stations was established. Furthermore, the model was applied and verified to be effective in Chengdu Metro Line 4, Sichuan province, China, and the evaluation results coincided with the actual situation. The model in the study provides a new idea for evaluating waterlogging risks in urban subway stations, and these results can offer important information for local government to strengthen management on waterlogging risks.http://dx.doi.org/10.1155/2019/5393171 |
| spellingShingle | Haiying Yu Chuan Liang Ping Li Kaijie Niu Faxing Du Junhu Shao Yuyong Liu Evaluation of Waterlogging Risk in an Urban Subway Station Advances in Civil Engineering |
| title | Evaluation of Waterlogging Risk in an Urban Subway Station |
| title_full | Evaluation of Waterlogging Risk in an Urban Subway Station |
| title_fullStr | Evaluation of Waterlogging Risk in an Urban Subway Station |
| title_full_unstemmed | Evaluation of Waterlogging Risk in an Urban Subway Station |
| title_short | Evaluation of Waterlogging Risk in an Urban Subway Station |
| title_sort | evaluation of waterlogging risk in an urban subway station |
| url | http://dx.doi.org/10.1155/2019/5393171 |
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