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

• Published in: Sustainability Vol. 13; no. 21; p. 11694
• Main Authors: Kim, Jaehong, Youm, Sangpil, Shan, Yongwei, Kim, Jonghoon
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: Analysis; Big Data; Building sites; Computational linguistics; Construction accidents & safety; Construction industry; Deep learning; Explosions; Fire hazards; Fires; Flammable materials; Language processing; Media coverage; Natural language interfaces; Neural networks; Occupational safety; Risk factors; Safety and security measures; Sustainability; United States; Web scraping; United States

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...