To maintain underground utilities in a safe condition, the need for a comprehensive management and maintenance system is becoming more prominent. There are several problems with the current operation maintenance applications in underground utilities, including the lack of a digitalized 3D model with a comprehensive database for dynamically editing data on the site. This research proposes a pipeline operation and maintenance management system (POMMS) by employing building information modeling (BIM), geographic information system (GIS), and augmented reality (AR) and integrating various project information sources through application programming interface (API) and cloud database. This system can facilitate decision-making by more realistic 3D visualizations, enhanced integration of construction, geographic and inspection information, and efficient data retrieval. The proposed system is applied to an actual project to validate its efficiency. In this research, two scenarios and one survey were conducted to investigate the performance of POMMS. The case study and survey results indicates POMMS’s efficiency in improving data collection, communication among stakeholders, and perception of as-built subsurface utility map while unfolding several crucial challenges and limitations of real-world implementation of the system.

Addressing safety risks in construction is an ongoing priority, and integrating safety considerations into construction scheduling is a crucial aspect of this effort. A notable challenge is the safety risk posed by concurrent tasks, which has received limited attention in prior research. This study aims to address this research gap by introducing a novel Building Information Modeling (BIM)-based model that assesses the increased hazardousness resulting from overlapping construction activities. Historically, research has predominantly focused on individual task safety, with less emphasis on the risks associated with overlapping activities. Our innovative approach introduces the concept of a ‘source–target’ match, which evaluates the degree of hazardousness escalation when activities overlap. Drawing on data from the Occupational Safety and Health Administration (OSHA) and the National Institute for Occupational Safety and Health (NIOSH) fatal accident reports, we extracted 11 hazardous and 9 susceptibility attributes to build a source–target match table. This table reveals the characteristics of activities that generate hazardous conflicts when overlapping. The key contribution of this research is the assessment, prioritization, and visualization of risk levels in a BIM environment. This framework empowers safety managers to proactively address safety risks resulting from overlapping construction activities, ultimately reducing accidents in the construction industry. By shedding light on this overlooked aspect of construction safety, our research highlights the importance of integrating safety considerations into construction scheduling and provides a practical tool for mitigating risks, enhancing workplace safety, and ultimately improving project outcomes.

Job safety analysis (JSA) is a safety management framework for the construction sector that relies on manual processes and is constrained by the limitations of manual performance. Although ...