Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data
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- Chih-Hsiung Chang & Mei-Ling Chuang & Jia-Cheng Tan & Chuen-Chyi Hsieh & Chien-Cheng Chou, 2022. "Indoor Safety Monitoring for Falls or Restricted Areas Using Wi-Fi Channel State Information and Deep Learning Methods in Mega Building Construction Projects," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
- Pouya Gholizadeh & Ikechukwu S. Onuchukwu & Behzad Esmaeili, 2021. "Trends in Catastrophic Occupational Incidents among Electrical Contractors, 2007–2013," IJERPH, MDPI, vol. 18(10), pages 1-24, May.
- Sung-Yong Kang & Seongi Min & Deokhee Won & Young-Jong Kang & Seungjun Kim, 2021. "Suggestion of an Improved Evaluation Method of Construction Companies’ Industrial Accident Prevention Activities in South Korea," IJERPH, MDPI, vol. 18(16), pages 1-25, August.
- Chen, Yun & Wang, Jie & Jin, Lianghai & Nie, Benwu & Zheng, Xiazhong, 2024. "A hybrid approach integrating case mining (CM) and the Copula Bayesian Network (CBN) for accident causation probabilistic reasoning of building construction collapses," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
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Keywords
construction industry; fatal accidents; statistical analysis; clustering analysis; GM(1; 1) model;All these keywords.
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