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http://dx.doi.org/10.5345/JKIBC.2022.22.3.281

Determination of Fire Risk Assessment Indicators for Building using Big Data  

Joo, Hong-Jun (Department of Construction Test & Assessment Center, Korea Institute of Civil Engineering and Building Technology)
Choi, Yun-Jeong (Department of Construction Test & Assessment Center, Korea Institute of Civil Engineering and Building Technology)
Ok, Chi-Yeol (Department of Construction Test & Assessment Center, Korea Institute of Civil Engineering and Building Technology)
An, Jae-Hong (Department of Construction Test & Assessment Center, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of the Korea Institute of Building Construction / v.22, no.3, 2022 , pp. 281-291 More about this Journal
Abstract
This study attempts to use big data to determine the indicators necessary for a fire risk assessment of buildings. Because most of the causes affecting the fire risk of buildings are fixed as indicators considering only the building itself, previously only limited and subjective assessment has been performed. Therefore, if various internal and external indicators can be considered using big data, effective measures can be taken to reduce the fire risk of buildings. To collect the data necessary to determine indicators, a query language was first selected, and professional literature was collected in the form of unstructured data using a web crawling technique. To collect the words in the literature, pre-processing was performed such as user dictionary registration, duplicate literature, and stopwords. Then, through a review of previous research, words were classified into four components, and representative keywords related to risk were selected from each component. Risk-related indicators were collected through analysis of related words of representative keywords. By examining the indicators according to their selection criteria, 20 indicators could be determined. This research methodology indicates the applicability of big data analysis for establishing measures to reduce fire risk in buildings, and the determined risk indicators can be used as reference materials for assessment.
Keywords
building; fire risk assessment; big data;
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