DOI: 10.1007/s11069-020-04057-x
论文题名: Evaluating the severity of building fires with the analytical hierarchy process, big data analysis, and remote sensing
作者: Lee C.-A. ; Sung Y.-C. ; Lin Y.-S. ; Hsiao G.L.-K.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 103, 期: 2 起始页码: 1843
结束页码: 1856
语种: 英语
中文关键词: Analytical hierarchy process (AHP)
; Building fire
; Fire prevention
; Fire response
; Fire severity assessment
英文关键词: analytical hierarchy process
; building
; data management
; fire management
; remote sensing
; risk assessment
; China
; Shandong
; Tai Shan
英文摘要: This study assessed the severity of building fires in 17 villages that comprise Taishan District, New Taipei City, Taiwan. A literature review was performed to discuss the impact of fire severity assessment criteria in order to develop items and factors for the analytic hierarchy process (AHP). We identified six items for the building fire severity assessment: rescue response time, narrow road density, water-sacristy area density, building risk, hazardous materials’ place density, and fire safety inspection-regulated premises density. Big data analysis and remote sensing were employed to facilitate devising the AHP structure with items and factors. We also compared the annual average burned area from 2005 to 2015 through the building fire severity assessment to validate assessment accuracy. The actual yearly average burned area in each village of Taishan District was used to verify the building fire severity assessment, and the compliance rate of the rating (i.e., high, moderate, and low) was, respectively, 60%, 67%, and 67%. The proposed assessment is evidently feasible and can act as a reference for quantitative analyses for assessments of building fire severity. © 2020, Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168579
Appears in Collections: 气候变化与战略
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作者单位: Department of Civil Engineering, National Taipei University of Technology, Taipei, Taiwan; Fire Department, New Taipei City Government, New Taipei City, Taiwan; National Center for Research on Earthquake Engineering, Taipei, Taiwan; Central Police University, Taoyuan City, Taiwan; Department of Disaster Management, Taiwan Police College, Taipei, Taiwan
Recommended Citation:
Lee C.-A.,Sung Y.-C.,Lin Y.-S.,et al. Evaluating the severity of building fires with the analytical hierarchy process, big data analysis, and remote sensing[J]. Natural Hazards,2020-01-01,103(2)