[1]林晓艳,张婷婷.社区火灾初期处置系统关键风险因素识别研究[J].福建理工大学学报,2025,23(02):147-154.[doi:10.3969/j.issn.2097-3853.2025.02.007]
LIN Xiaoyan,ZHANG Tingting.Research on identification of key risk factors in community fire early disposal system[J].Journal of Fujian University of Technology;,2025,23(02):147-154.[doi:10.3969/j.issn.2097-3853.2025.02.007]
点击复制
社区火灾初期处置系统关键风险因素识别研究
《福建理工大学学报》[ISSN:2097-3853/CN:35-1351/Z]
- 卷:
-
第23卷
- 期数:
-
2025年02期
- 页码:
-
147-154
- 栏目:
-
- 出版日期:
-
2025-04-25
文章信息/Info
- Title:
-
Research on identification of key risk factors in community fire early disposal system
- 作者:
-
林晓艳; 张婷婷
-
福建理工大学管理学院
- Author(s):
-
LIN Xiaoyan; ZHANG Tingting
-
School of Management, Fujian University of Technology
-
- 关键词:
-
社区火灾; 初期处置系统; 风险因素; N-K模型; SNA模型
- Keywords:
-
community fire; early disposal system; risk factors; N-K model; SNA model
- 分类号:
-
X928.7
- DOI:
-
10.3969/j.issn.2097-3853.2025.02.007
- 文献标志码:
-
A
- 摘要:
-
近年来,社区火灾事故频繁发生,但社区对初期火灾的处置效能低下,严重威胁着居民的生命财产安全。对2014—2023 年全国各地70 起社区火灾事故调查报告进行文本分析,提炼出社区火灾初期处置系统的风险因素,运用N?K 模型和SNA 模型研究系统中风险因素的耦合机理,从而识别系统的关键风险因素。研究结果表明,缺乏辨识消防安全隐患的知识和能力是导致社区火灾初期处置系统效能低下的关键风险因素,增强居民自救互救的知识和能力有助于提升社区对初期火灾的处置效能。由此,从增强居民自防自救能力、增强社区自我管理能力和完善社区消防硬件设施等三方面提出控制社区火灾初期处置系统风险的策略。
- Abstract:
-
In recent years, fire accidents have occurred frequently in communities, but the community’s response to initial fires is inefficient, seriously threatening the safety of residents’ lives and property. Through text analysis of 70 community fire accidents’ investigation reports from 2014 to 2023, the risk factors of the community fire initial disposal system were extracted, the N-K model and SNA model were applied to research the coupling mechanism of risk factors in the system, thereby the key risk factors of the system were identified. The research results indicate that the lack of knowledge and ability to identify fire safety hazards is the key risk factor leading to low efficiency of community fire early disposal systems; enhancing residents’ knowledge and ability for self-rescue and mutual aid can help improve the community’s effectiveness in handling initial fires. Therefore, strategies for controlling the risk of the early disposal system of community fires are proposed from three aspects: enhancing residents’ self-protection and self-rescue capabilities, strengthening community self-management capabilities, and improving community fire-fighting hardware facilities.
参考文献/References:
[1] 中国消防. 近10年全国居住场所火灾造成11634人遇难[EB/OL].(2022-02-18)[2024-02-10].https:∥www.119.gov.cn/gk/sjtj/2022/27328.shtml.[2] 今年1-10月全国火灾形势报告公布[EB/OL].(2023-11-09)[2024-02-10]. https:∥www.119.gov.cn/qmxfxw/mtbd/spbd/2023/40340.shtml.[3] 高新华,严文芳. 民用建筑火灾发生初期扑救与疏散“5min黄金时间” 理论探讨[J]. 消防界(电子版),2019,5(10):29-30.[4] JONG-NAM K,KONG H S. Multivariate analysis of fire prevention activities,special investigations of fire safety,and fire safety management bythe apartment buildings management methods and inspection of firefighting facilities[J]. The Journal of the Convergenceon Culture Technology,2020,6(2):489-502.[5] KODUR V,KUMAR P,RAFI M M. Fire hazard in buildings:review,assessment and strategies for improving fire safety[J]. PSU Research Review,2019,4(1):1-23.[6] GLAUBERMAN G,QURESHI K. Community/public health nurses’ awareness of residential high-rise fire safety issues[J]. SAGE Open Nursing,2021,7:23779608211040597.[7] HASSANAIN M A,ALBUGAMI Z A. Towards disaster prevention in community centers:development of a code-based fire risk assessment tool[J]. International Journal of Emergency Services,2024,13(1):17-32.[8] FLORES QUIROZ N,WALLS R,CICIONE A. Developing a framework for fire investigations in informal settlements[J]. Fire Safety Journal,2021,120:103046.[9] 王新迪,杨夙,张思源,等. 基于时空大数据与卫星图像的城市火灾风险预测[J]. 计算机工程,2023,49(6):242-249.[10] 周思宇,吴洁,邢志祥,等. 高层建筑火灾事故应急能力量化评估[J]. 消防科学与技术,2021,40(11):1617-1621.[11] 丁谢镔. 典型多层经营性自建房火灾初期处置效能的大涡模拟[J]. 安全与环境学报,2023,23(9):3150-3159.[12] YE J,HAN X F,WANG M L. Analysis of the optimized strategies for prompt evacuation during the early stage of high-rise building fires[J]. Journal of Safety and Environment,2015,15(5):179-183.[13] 周红波,杨奇,杨振国,等. 基于复杂网络和N-K模型的塔吊安全风险因素分析与控制[J]. 安全与环境学报,2020,20(3):816-823.[14] 邵志国,张靖轩,王伟. 基于N-K模型和SNA的新能源汽车燃爆风险因素耦合分析[J]. 安全与环境学报,2023,23(2):363-371.
更新日期/Last Update:
2025-04-25