About 80–90% of accidents are caused by the unsafe actions and behaviors employees in construction. Behavior management thus plays a key role enhancing safety, particularly, behavior observation is most critical element for modifying workers’ safe manner. However, there lack practical methods to measure To analyze actions, this paper uses an advanced economical depth sensor collect motion data then investigates consequent motion-analysis techniques detect workers, which main focus paper....

Work-related musculoskeletal disorders (WMSDs) are reported to be the most common category of nonfatal occupational injuries that result in days away from work and also a leading cause temporary permanent disability. One effective approaches preventing WMSDs is evaluate ergonomics considerations early design construction planning stage before worker encounters unsafe conditions. However, lack tools for identifying potential ergonomic risks proposed workplace has led difficulties integrating...

Construction projects are capital-intensive and risk-prone, which can lead to serious claims disputes. Thus, early identification intervention of potential risks in contracts play significant roles preventing conflicts advance. However, traditional approaches mostly limited the simple task predicting fragmentary information (e.g., a type risk) from contracts. This study aims predict comprehensive determine risk-handling actions by simultaneously performing three classification tasks (i.e.,...

Abstract Background For construction management, data collection is a critical process for gathering and measuring information the evaluation control of ongoing project performances. Taking into account that involves significant amount manual work, worker monitoring can play key role in analyzing operations improving productivity safety. However, time-consuming tasks involved field observation have brought up issue implementing daily management practice. Methods In an effort to address...

In construction, workers are frequently exposed to ergonomic risks that can lead musculoskeletal disorders. To prevent injuries, proper assessment of risk is a key identifying factors and modifying work practice in timely manner. field observation, however, difficulties visually estimating human postures (e.g., body joint angles) required for analysis have led inconsistent results due the subjectiveness observers. This study thus proposes fuzzy logic approach posture-based evaluation tools....

Purpose As a means of data acquisition for the situation awareness, computer vision-based motion capture technologies have increased potential to observe and assess manual activities prevention accidents injuries in construction. This study thus aims present computationally efficient robust method human on-site sensing analysis. Design/methodology/approach investigated tracking approach three-dimensional (3D) skeleton extraction from stereo video streams. Instead detecting body joints on...

Rapid development of motion sensors and video processing has triggered growing attention to action recognition for safety health analysis, as well operation in construction. Specifically occupational health, worker behavior monitoring allows the automatic detection workers' unsafe actions feedback on their behavior, both which enable proactive prevention an accident by reducing number that occur. Previous studies provide insight into tracking human movements recognizing actions, but further...

Understanding the causal relationships between safety management system (SMS) factors and accident precursors helps construction organizations identify which require improvement upon observing an precursor. Previous research has not clearly distinguished SMS precursors. This background examines using empirical data. Specifically, five structural equation models (SEMs) were developed to map paths Each of SEMs what specific would have a significant influence on occurrence particular type These...

Evaluating the site-selection process for photovoltaic (PV) plants is essential securing available areas solar power plant installation in limited spaces. Although vicinities of highway networks can be suitable installing PV plants, terms economic feasibility, they have rarely been investigated because impacts various factors, including geographic or weather patterns, not analyzed. In this respect, study conducts a case on selecting site PV-panel vicinity (e.g., slopes) by integrating...

The performance of a safety management system (SMS) is influenced by large number internal and external factors. Loss control these factors can create unsafe conditions, which eventually lead to worksite accidents. Identification prioritization crucial for optimal SMS performance. However, because the complex dynamic nature accident occurrence, identification critical precursors remains difficult in practice. This paper proposes use risk-rating approach understanding complexity between from...

In modular construction, quality control is a crucial step in meeting requirements, leading to the completion of project within planned schedule and cost. Currently, inspection visually performed by inspectors, which can be costly unreliable. This study thus proposes vision-based approach off-site that reconstructs (three-dimensional) 3D point clouds using projector-camera system computes deviations between scans virtual model generate error maps for assessment. Particularly, an experimental...

The application of deep learning (DL) for solving construction safety issues has achieved remarkable results in recent years that are superior to traditional methods. However, there is limited literature examining the links between DL and management highlighting contributions studies practice. Thus, this study aims synthesize current status on outline practical challenges future opportunities. A total 66 influential articles were analyzed from a technical aspect, such as convolutional neural...

Marker-less motion capture has been extensively studied in recent years as a means of evaluating productivity, safety, and workplace design for manual operations on-site. These technologies are ideal circumstances which traditional systems ineffective due to the need laboratory setting movement-inhibiting markers or sensors. However, many marker-less rely on RGB-D sensors that have limited range susceptibility interference from sunlight ferromagnetic radiation, making them unsuitable...

Workers in the construction industry are frequently exposed to physically demanding manual tasks with a high level of ergonomic risk. To prevent injuries and disorders, posture-based evaluation methods, which require inputs describing worker's posture (e.g., body joint angles), have been developed used widely practice. However, reliability these methods has not investigated fully from input measurement perspective, as when collected by human observer or motion capture sensors, may inevitably...