A bibliometric review on Safety Risk assessment of construction based on CiteSpace software and WOS database

Y Junjia, AH Alias, NA Haron, N Abu Bakar - Sustainability, 2023 - mdpi.com
As urbanization continues to grow around the world, the risks associated with construction
are increasing. Scientific and practical risk assessments help reduce safety risks and …

Systematic Literature Review on Knowledge Graphs in Construction Management from a Multi-Modal Perspective

J Zhang, S Jiang - International Journal of Human–Computer …, 2024 - Taylor & Francis
The research of knowledge graph in construction management (KGCM) has become a
current research hotspot. However, there are problems of insufficient data sources, low …

Construction safety predictions with multi-head attention graph and sparse accident networks

F Mostofi, V Toğan - Automation in Construction, 2023 - Elsevier
The reliability of risk assessment is crucial for designing effective construction safety
management strategies. Construction safety prediction using machine learning models is …

Role of national conditions in occupational fatal accidents in the construction industry using interpretable machine learning approach

K Koc - Journal of Management in Engineering, 2023 - ascelibrary.org
Current national occupational safety and health (OSH) initiatives follow reactive approaches,
ie, if it breaks, fix it. Existing accounts, however, failed to improve national OSH …

Multiedge graph convolutional network for house price prediction

F Mostofi, V Toğan, HB Başağa… - Journal of …, 2023 - ascelibrary.org
Accurate house price prediction allows construction investors to make informed decisions
about the housing market and understand the growth opportunities for development and the …

A data-driven recommendation system for construction safety risk assessment

F Mostofi, V Toğan - Journal of Construction Engineering and …, 2023 - ascelibrary.org
Subjectivity and uncertainty of risk assessment (RA) procedures can be improved by
replacing guesswork with data-driven approaches such as machine learning (ML). Although …

Predicting construction accident outcomes using graph convolutional and dual-edge safety networks

F Mostofi, V Toğan - Arabian Journal for Science and Engineering, 2024 - Springer
To improve site safety status, the construction safety literature has investigated machine
learning (ML) prediction models with a particular emphasis on their prediction accuracy. This …

A decision-support productive resource recommendation system for enhanced construction project management

F Mostofi, OB Tokdemir, V Toğan - Advanced Engineering Informatics, 2024 - Elsevier
The escalating volume of data in engineering practice necessitates innovative
computational approaches for data-driven insights. Existing literature relies on isolated data …

Generating synthetic data with variational autoencoder to address class imbalance of graph attention network prediction model for construction management

F Mostofi, OB Tokdemir, V Toğan - Advanced Engineering Informatics, 2024 - Elsevier
The predictive performance of machine learning (ML) models is challenged when trained on
class imbalance real-world construction datasets, reducing the accuracy of relevant …

Network-Based Safety Risk Analysis and Interactive Dashboard for Root Cause Identification in Construction Accident Management

L Kumi, J Jeong, J Jeong, J Son, H Mun - Reliability Engineering & System …, 2025 - Elsevier
Construction projects are characterized by dynamic environments where numerous safety
risks interact, leading to high rates of accidents and fatalities. Traditional safety analysis …