主管：中华人民共和国应急管理部
主办：应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU
消防科学与技术

消防科学与技术 ›› 2023, Vol. 42 ›› Issue (12): 1669-1674.

• • 上一篇    下一篇

三度空间下地铁车站系统消防安全韧性评价

刘敬严, 郑文文, 陈佳   

  1. （防灾科技学院 中国地震局建筑物破坏机理与防御重点实验室，河北 三河 065201）
  • 出版日期:2023-12-15 发布日期:2023-12-15
  • 作者简介:刘敬严(1980- )，女，河北保定人，防灾科技学院副教授，主要从事风险管理、产业经济方面的研究，河北省三河市燕郊高新区学院街465号，065201。
  • 基金资助:
    中央高校基本科研业务费专项（ZY20220206）；廊坊市科技局课题（2023011045）；国家自然科学基金（52278489）

Fire safety resilience evaluation of subway station system based on trio spaces

Liu Jingyan, Zheng Wenwen, Chen Jia   

  1. (Key Laboratory of Building Collapse Mechanism and Disaster Prevention, China Earthquake Administration, Institute of Disaster Prevention, Hebei Sanhe 065201, China)
  • Online:2023-12-15 Published:2023-12-15

摘要： 为科学评价地铁车站系统消防安全韧性，减少火灾灾害事故，基于三度空间理念，采用云模型进行地铁车站系统消防安全韧性评价分析。从三度空间的物理空间、社会空间、信息空间出发结合韧性动态演进的抵抗力、恢复力、适应力过程属性，构建地铁车站系统消防安全韧性分析框架。采用组合赋权云模型进行地铁车站系统消防安全韧性评价分析。对石家庄某地铁站的评价结果为中度韧性。运用SPSSAU进行障碍度分析找到主要障碍因子。最后，基于三度空间视角，结合案例分析，提出地铁车站系统消防安全韧性提升建议。

关键词: 消防安全, 韧性, 三度空间, 地铁车站, 云模型, 组合赋权

Abstract: In order to scientifically evaluate the fire safety resilience of the subway station system and reduce the impact of fire disaster, based on the trio spaces perspective, the cloud model was built to evaluate and analyze the fire safety resilience of the subway station system. Based on the physical, social and information spaces of the trio spaces, combined with the process attributes of resistance, resilience and adaptability of the dynamic evolution of resilience, the analysis framework of fire safety resilience of subway station system is constructed. A combination weighting cloud model for fire safety resilience evaluation of subway station system is established. The evaluation result of Shijiazhuang subway station was moderate resilience. Through the calculation of the SPSSAU obstacle degree model, the main obstacle factors are found. Finally, based on the perspective of trio spaces and case analysis, suggestions on improving the fire safety resilience of subway station system were put forward.

Key words: fire safety, resilience, trio spaces, subway station, cloud model, combination weighting