Big Data -Based Study on the Relationship and Risk Factors Between Construction Site Fires and Meteorological Conditions

In this study, we examined the correlations between weekly construction site fire counts and 14 weather variables using the 2010∼2023 public data from the Korea Fire Service and Korea Meteorological Administration. Seasonal analysis reveals that the number of fire events is higher in the winter (December∼March) and lower in the summer (July, August). Temperature and humidity correlate negatively (r = –0.60 to –0.53), whereas pressure correlates positively (r = 0.50). Multiple regression explains 89% of the fire variance (R<sup>2</sup> = 0.89, p < 0.05) via average temperature, pressure, and precipitation. Four risk levels (Risk0∼3) based on quartiles reveal significant intergroup differences (p < 0.05).

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Publication Details

Journal
Fire Science and Engineering
Published
2025-08-28
DOI
https://doi.org/10.7731/kifse.f07ed068
Primary Topic
Fire dynamics and safety research
Type
article
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article

Big Data -Based Study on the Relationship and Risk Factors Between Construction Site Fires and Meteorological Conditions

Taegyu Lee, W. Kim
Fire Science and Engineering
Fire dynamics and safety research
article

Big Data -Based Study on the Relationship and Risk Factors Between Construction Site Fires and Meteorological Conditions

Taegyu Lee, W. Kim
article en

Abstract

In this study, we examined the correlations between weekly construction site fire counts and 14 weather variables using the 2010∼2023 public data from the Korea Fire Service and Korea Meteorological Administration. Seasonal analysis reveals that the number of fire events is higher in the winter (December∼March) and lower in the summer (July, August). Temperature and humidity correlate negatively (r = –0.60 to –0.53), whereas pressure correlates positively (r = 0.50). Multiple regression explains 89% of the fire variance (R<sup>2</sup> = 0.89, p < 0.05) via average temperature, pressure, and precipitation. Four risk levels (Risk0∼3) based on quartiles reveal significant intergroup differences (p < 0.05).

Fire Science and EngineeringVol. 39(4)
Openalex Percentile: Top 73%
Fire dynamics and safety research
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