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Journal Articles

Safety tag generation and training material recommendation for construction workers: a persona-based approach

Pinsheng Duan, Jianliang Zhou, Wenhan Fan

Engineering, Construction and Architectural Management (2024) 31 (1): 115–135.

https://doi.org/10.1108/ECAM-12-2021-1143

Published: 30 August 2022

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Journal Articles

Integrating knowledge management and BIM for safety risk identification of deep foundation pit construction

Dawei Chen, Jianliang Zhou, Pinsheng Duan, Jiaqi Zhang

Engineering, Construction and Architectural Management (2023) 30 (8): 3242–3258.

https://doi.org/10.1108/ECAM-10-2021-0934

Published: 09 August 2022

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Journal Articles

A science mapping approach-based review of near-miss research in construction

Pinsheng Duan, Jianliang Zhou

Engineering, Construction and Architectural Management (2023) 30 (6): 2582–2601.

https://doi.org/10.1108/ECAM-09-2021-0797

Published: 12 April 2022

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Journal Articles

Risk events recognition using smartphone and machine learning in construction workers' material handling tasks

Pinsheng Duan, Jianliang Zhou, Shiwei Tao

Engineering, Construction and Architectural Management (2023) 30 (8): 3562–3582.

https://doi.org/10.1108/ECAM-10-2021-0937

Published: 18 March 2022

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Journal Articles

Cascading vulnerability analysis of unsafe behaviors of construction workers from the perspective of network modeling

Pinsheng Duan, Jianliang Zhou

Engineering, Construction and Architectural Management (2023) 30 (3): 1037–1060.

https://doi.org/10.1108/ECAM-06-2021-0475

Published: 01 December 2021

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Safety tag generation and training material recommendation for construction workers: a persona-based approach

Integrating knowledge management and BIM for safety risk identification of deep foundation pit construction

A science mapping approach-based review of near-miss research in construction

Risk events recognition using smartphone and machine learning in construction workers' material handling tasks

Cascading vulnerability analysis of unsafe behaviors of construction workers from the perspective of network modeling

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