Critical factors for successful implementation of just-in-time concept in modular integrated construction: A systematic review and meta-analysis

M Hussein, T Zayed - Journal of cleaner production, 2021 - Elsevier
Modular integrated construction (MiC) is a revolutionary construction method. However, the
logistics management of MiC has always been a major barrier to the wider adoption of MiC …

Sensor-based safety management

A Asadzadeh, M Arashpour, H Li, T Ngo… - Automation in …, 2020 - Elsevier
The construction industry has one of the most hazardous working environments worldwide,
which accounts for about 1 in every 5 occupational fatalities. The high rates of workplace …

Digital twin-based safety risk coupling of prefabricated building hoisting

Z Liu, X Meng, Z Xing, A Jiang - Sensors, 2021 - mdpi.com
Safety management in hoisting is the key issue to determine the development of
prefabricated building construction. However, the security management in the hoisting stage …

[HTML][HTML] Offshore wind H&S: A review and analysis

D Rowell, D McMillan, J Carroll - Renewable and Sustainable Energy …, 2024 - Elsevier
The offshore wind industry is growing rapidly around the world. Many governments have set
ambitious targets for growth to achieve their decarbonisation goals. As the industry grows it …

[HTML][HTML] Vision zero: Developing proactive leading indicators for safety, health and wellbeing at work

G Zwetsloot, S Leka, P Kines, A Jain - Safety Science, 2020 - Elsevier
The importance of leading occupational safety and health (OSH) indicators in
complementing lagging indicators is an emerging topic for the promotion of a prevention …

Safety management in construction: 20 years of risk modeling

M Alkaissy, M Arashpour, B Ashuri, Y Bai, R Hosseini - Safety science, 2020 - Elsevier
Construction industry has one of the highest rates of fatalities and injuries compared to other
industries, despite technological advancements and implementations of occupational health …

Performance of machine learning algorithms in predicting the pavement international roughness index

MZ Bashar, C Torres-Machi - Transportation Research …, 2021 - journals.sagepub.com
Significant research efforts have documented the capabilities of machine learning (ML)
algorithms to model pavement performance. Several challenges, however, limit the …

[HTML][HTML] Audit masquerade: How audits provide comfort rather than treatment for serious safety problems

B Hutchinson, S Dekker, A Rae - Safety science, 2024 - Elsevier
Investigations following major accidents sometimes find that auditing failed to identify critical
deficiencies. Such findings assume that the deficiencies were just waiting to be found: if only …

[HTML][HTML] Organizational factors and specific risks on construction sites

FJ Forteza, JM Carretero-Gómez, A Sesé - Journal of safety research, 2022 - Elsevier
Introduction: This study develops an empirical test of two theoretical models using the
approach of Structural Equation Model (SEM) to test the relationships between specific …

Safety leading indicators in construction: A systematic review

J Xu, C Cheung, P Manu, O Ejohwomu - Safety science, 2021 - Elsevier
Safety leading indicators have been investigated as an emergent area in the construction
industry. Yet the fundamental concepts of leading indicators, including definitions, viability …