Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers

Lee, Changsu; Kim, Minju; Ahn, Heejae; Yoo, Wi Sung; Cho, Hunhee; Choi, Youngho

doi:10.1007/s12205-023-1978-8

KSCE J Civ Eng

2023

DOI: 10.1007/s12205-023-1978-8

|View full text |Cite

Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers

Changsu Lee,

Minju Kim,

Heejae Ahn

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Modeling and risk assessment of workers’ situation awareness in human-machine collaborative construction operations: A computational cognitive modeling and simulation approach

Li,

He,

et al. 2025

Advanced Engineering Informatics

View full text Add to dashboard Cite

Modeling and risk assessment of workers’ situation awareness in human-machine collaborative construction operations: A computational cognitive modeling and simulation approach

Li,

He,

et al. 2025

Advanced Engineering Informatics

View full text Add to dashboard Cite

How job satisfaction affects professionalization behavior of new-generation construction workers: a model based on theory of planned behavior

Zhao,

Peng,

Liu

et al. 2024

ECAM

View full text Add to dashboard Cite

PurposeThe purpose of this study is to explore the influence mechanism of new-generation construction workers (NGCWs)’ job satisfaction on the professionalization behavior in China, through theory of planned behavior (TPB), and find the key path to promote the professionalization behavior of China’s construction workers.Design/methodology/approachA theoretical model of influence mechanism was established through literature research and theoretical deduction based on TPB and structural equation model. The scale of variables was developed, and an empirical study was employed with a sample of 823 NGCWs in China.FindingsThe results indicate that job satisfaction can positively affect NGCWs' professionalization behavior. Subjective norm, attitude and perceived behavior control play mediating roles in the influence process. Job satisfaction is more likely to act on professionalization behavior through subjective norm and behavioral intention.Research limitations/implicationsResearch results sorely suggest a short-term law about the influence mechanism of NGCWs' job satisfaction on professionalization behavior through a questionnaire study from China’s construction industry. Future research ought to continue to use a longitudinal study to examine it over a considerable amount of time. The results also need to be verified using data from young construction workers in other nations.Practical implicationsThis study provides a theoretical basis and feasible management reference for government and construction enterprises in China to promote NGCWs' professionalization behavior from the perspective of job satisfaction. Furthermore, the promotion of NGCWs' job satisfaction and professionalization behavior can do good to building industrialization, sustainable development and high-quality transformation of labor force in the construction industry.Originality/valueThis paper demonstrates the positive influence of job satisfaction on professionalization behavior of NGCWs and finds the most effective affecting path. It fills the research gap about the influence mechanism of job satisfaction on young construction workers' professionalization behavior and enriches the theoretical system of planned behavior of construction workers.

show abstract

Systematic Review of Quantitative Risk Quantification Methods in Construction Accidents

Kumi,

Jeong,

Jeong

2024

Buildings

View full text Add to dashboard Cite

Construction accidents pose significant risks to workers and the public, affecting industry productivity and reputation. While several reviews have discussed risk assessment methods, recent advancements in artificial intelligence (AI), big data analytics, and real-time decision support systems have created a need for an updated synthesis of the quantitative methodologies applied in construction safety. This study systematically reviews the literature from the past decade, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A thorough search identified studies utilizing statistical analysis, mathematical modeling, simulation, and artificial intelligence (AI). These methods were categorized and analyzed based on their effectiveness and limitations. Statistical approaches, such as correlation analysis, examined relationships between variables, while mathematical models, like factor analysis, quantified risk factors. Simulation methods, such as Monte Carlo simulations, explored risk dynamics and AI techniques, including machine learning, enhanced predictive modeling, and decision making in construction safety. This review highlighted the strengths of handling large datasets and improving accuracy, but also noted challenges like data quality and methodological limitations. Future research directions are suggested to address these gaps. This study contributes to construction safety management by offering an overview of best practices and opportunities for advancing quantitative risk assessment methodologies.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers

Cited by 3 publications

References 23 publications

Modeling and risk assessment of workers’ situation awareness in human-machine collaborative construction operations: A computational cognitive modeling and simulation approach

Modeling and risk assessment of workers’ situation awareness in human-machine collaborative construction operations: A computational cognitive modeling and simulation approach

How job satisfaction affects professionalization behavior of new-generation construction workers: a model based on theory of planned behavior

Systematic Review of Quantitative Risk Quantification Methods in Construction Accidents

Contact Info

Product

Resources

About