Analysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach

Fire safety on construction sites has been rarely studied because fire accidents have a lower occurrence compared to construction’s “Fatal Four”. Despite the lower occurrence, construction fire accidents tend to have a larger severity of impact. This study aims at using news media data and big data...

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Autores principales:	Jaehong Kim, Sangpil Youm, Yongwei Shan, Jonghoon Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	construction sites safety fire accidents web crawling deep learning Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/ed33c7366cf54897af52bca9e6d140c0
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spelling	oai:doaj.org-article:ed33c7366cf54897af52bca9e6d140c02021-11-11T19:25:34ZAnalysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach10.3390/su1321116942071-1050https://doaj.org/article/ed33c7366cf54897af52bca9e6d140c02021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11694https://doaj.org/toc/2071-1050Fire safety on construction sites has been rarely studied because fire accidents have a lower occurrence compared to construction’s “Fatal Four”. Despite the lower occurrence, construction fire accidents tend to have a larger severity of impact. This study aims at using news media data and big data analysis techniques to identify patterns and factors related to fire accidents on construction sites. News reports on various construction accidents covered by news media were first collected through web crawling. Then, the authors identified the level of media exposure for various keywords related to construction accidents and analyzed the similarities between them. The results show that the level of media exposure for fire accidents on construction sites is much higher than for fall accidents, which suggests that fire accidents may have a greater impact on the surroundings than other accidents. It was found that the main causes of fire accidents on construction sites are violations of fire safety regulations and the absence of inspections, which could be sufficiently prevented. This study contributes to the body of knowledge by exploring factors related to fire safety on construction sites and their interrelationships as well as providing evidence that the fire type should be emphasized in safety-related regulations and codes on construction sites.Jaehong KimSangpil YoumYongwei ShanJonghoon KimMDPI AGarticleconstruction sitessafetyfire accidentsweb crawlingdeep learningEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11694, p 11694 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	construction sites safety fire accidents web crawling deep learning Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	construction sites safety fire accidents web crawling deep learning Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Jaehong Kim Sangpil Youm Yongwei Shan Jonghoon Kim Analysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach
description	Fire safety on construction sites has been rarely studied because fire accidents have a lower occurrence compared to construction’s “Fatal Four”. Despite the lower occurrence, construction fire accidents tend to have a larger severity of impact. This study aims at using news media data and big data analysis techniques to identify patterns and factors related to fire accidents on construction sites. News reports on various construction accidents covered by news media were first collected through web crawling. Then, the authors identified the level of media exposure for various keywords related to construction accidents and analyzed the similarities between them. The results show that the level of media exposure for fire accidents on construction sites is much higher than for fall accidents, which suggests that fire accidents may have a greater impact on the surroundings than other accidents. It was found that the main causes of fire accidents on construction sites are violations of fire safety regulations and the absence of inspections, which could be sufficiently prevented. This study contributes to the body of knowledge by exploring factors related to fire safety on construction sites and their interrelationships as well as providing evidence that the fire type should be emphasized in safety-related regulations and codes on construction sites.
format	article
author	Jaehong Kim Sangpil Youm Yongwei Shan Jonghoon Kim
author_facet	Jaehong Kim Sangpil Youm Yongwei Shan Jonghoon Kim
author_sort	Jaehong Kim
title	Analysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach
title_short	Analysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach
title_full	Analysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach
title_fullStr	Analysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach
title_full_unstemmed	Analysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach
title_sort	analysis of fire accident factors on construction sites using web crawling and deep learning approach
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ed33c7366cf54897af52bca9e6d140c0
work_keys_str_mv	AT jaehongkim analysisoffireaccidentfactorsonconstructionsitesusingwebcrawlinganddeeplearningapproach AT sangpilyoum analysisoffireaccidentfactorsonconstructionsitesusingwebcrawlinganddeeplearningapproach AT yongweishan analysisoffireaccidentfactorsonconstructionsitesusingwebcrawlinganddeeplearningapproach AT jonghoonkim analysisoffireaccidentfactorsonconstructionsitesusingwebcrawlinganddeeplearningapproach
_version_	1718431562546020352

Analysis of Fire Accident Factors on Construction Sites Using Web Crawling and Deep Learning Approach

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