Fine-Kinney fuzzy-based occupational health risk assessment for Workers in different construction trades

被引：3

作者：

Li, Hongyang ^{[1
,2
]}

Wang, Yousong ^{[2
]}

Chong, Dan ^{[3
]}

Rajendra, Darmicka ^{[4
]}

Skitmore, Martin ^{[4
]}

机构：

[1] Hohai Univ, Business Sch, Nanjing, Peoples R China

[2] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R China

[3] Shanghai Univ, Sch Management, Shanghai, Peoples R China

[4] Bond Univ, Fac Soc & Design, Robina, Qld 4226, Australia

来源：

AUTOMATION IN CONSTRUCTION | 2024年 / 168卷

基金：

中国国家自然科学基金;

关键词：

Occupational health; Risk assessment; Construction worker; Trades; Fine-Kinney method; Fuzzy inference system; ASSESSMENT MODEL; SAFETY; NETWORK; IDENTIFICATION; INDUSTRY; OUTDOOR; SYSTEMS; AHP;

D O I：

10.1016/j.autcon.2024.105738

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This paper aims to enhance occupational health risk assessment for construction workers by introducing and validating two innovative models: the Occupational Health Risk Assessment Hierarchy Model (OHRAHM) and the Occupational Health Hazard Factor Risk Assessment Model (OHHFRAM). Utilizing the Fine-Kinney method (FKM), fuzzy sets, and the fuzzy inference system (FIS), these models provide a nuanced understanding of health risks in various construction trades. The models are demonstrated and validated in a specific region of China, including applying the FKM to different construction work types and evaluating occupational health across multiple trades. The principal results show the potential of OHRAHM and OHHFRAM in assessing risk magnitudes for various health factors, offering valuable insights for risk classification and proposing effective control measures. This paper addresses the need for improved health risk assessment models in the construction industry.

引用

页数：10

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