Artificial Cognition to Predict and Explain the Potential Unsafe Behaviors of Construction Workers

Author:

Deng Shuwen1,Ni Pingan2ORCID,Zhu Honglei3,Cai Yili4,Pan Yonggang5

Affiliation:

1. College of Architecture Engineering, Xinjiang Univ., 1230 Yan’anway, Tianshan District, Urumqi 830000, China (corresponding author).

2. College of Architecture, Xi’an Univ. of Architecture and Technology, 13 Yanta Rd., Beilin District, Xi’an 710055, China. ORCID: .

3. Criminology and Criminal Justice, Carleton Univ., 1233 Colonel by Dr., Ottawa, ON, Canada K1S5B7.

4. College of Foreign Languages, Ningbo Univ., No. 818 Fenghua Rd., Ningbo, Zhejiang 315211, China.

5. College of Architecture Engineering, Xinjiang Univ., 1230 Yan’anway, Tianshan District, Urumqi 830000, China.

Publisher

American Society of Civil Engineers (ASCE)

Reference70 articles.

1. American Bureau of Labor Statistics. 2020. “Census of fatal occupational injuries summary.” Accessed December 17 2021. https://www.bls.gov/news.release/cfoi.nr0.htm.

2. A qualitative investigation of factors influencing unsafe work behaviors on construction projects

3. Barabási, A. L. 2011. Bursts: The hidden patterns behind everything we do, from your e-mail to bloody crusades. New York: Dutton.

4. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

5. Multimodel Inference

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