Citation:
Peng Lei, Xu Xuejun, Yang lei. Comprehensive Fuzzy AHP Model for Fire Risk Prediction in Subway Station and Its Application Analysis. Journal of Information Technologyin Civil Engineering and Architecture,
2019, 11(4): 127-132.
doi: 10.16670/j.cnki.cn11-5823/tu.2019.04.19
2019, 11(4): 127-132. doi: 10.16670/j.cnki.cn11-5823/tu.2019.04.19
Comprehensive Fuzzy AHP Model for Fire Risk Prediction in Subway Station and Its Application Analysis
| 1. | China Railway First Survey and Design Institute Group., Ltd., Xi′an 710043, China |
| 2. | Guangxi Public Security Fire Department, Nanning 530000, China |
| 3. | Nanning Rail Transit Co., Ltd., Nanning 530029, China |
Due to the particularity of its structure, once a fire occurs, the subway stations often cause significant casualties and property losses.It is of great significance to study the fire risk assessment of subway stations.Based on the variable analysis of the fire risk grade, this paper establishes an evaluation index system and a hierarchical evaluation structure for the fire risk grade, and also proposes the choice evaluation set to quantify the proposed evaluation index.The project of Metro Line 1 in Nanning, Guangxi Province is taken as an engineering case study to implement the Fuzzy Comprehensive AHP evaluation of fire risk level.The research results show that the fuzzy comprehensive AHP evaluation method is able to comprehensively evaluate the risk grade of station fire through the establishment of comprehensive evaluation index system, which is also able to comprehensively consider the factors that affect the risk grade of the subway station fire.
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