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Construction workers are frequently exposed to safety hazards on sites. Wearable sensing systems (e.g. wearable inertial measurement units (WIMUs), wearable insole pressure system (WIPS)) have been used to collect workers' gait patterns for distinguishing safety hazards. However, the performance of measuring WIPS-based gait parameters for identifying safety hazards as compared to a reference system (i.e. WIMUs) has not been studied. Therefore, this study examined the validity and reliability of measuring WIPS-based gait parameters as compared to WIMU-based gait parameters for distinguishing safety hazards in construction.

Five fall-risk events were conducted in a laboratory setting, and the performance of the proposed approach was assessed by calculating the mean difference (MD), mean absolute error (MAE), mean absolute percentage error (MAPE), root mean square error (RMSE) and intraclass correlation coefficient (ICC) of five gait parameters.

Comparable results of MD, MAE, MAPE and RMSE were found between WIPS-based gait parameters and the reference system. Furthermore, all measured gait parameters had validity (ICC = 0.751) and test-retest reliability (ICC = 0.910) closer to 1, indicating a good performance of measuring WIPS-based gait parameters for distinguishing safety hazards.

Overall, this study supports the relevance of developing a WIPS as a noninvasive wearable sensing system for identifying safety hazards on construction sites, thus highlighting the usefulness of its applications for construction safety research.

This is the first study to examine the performance of a wearable insole pressure system for identifying safety hazards in construction.

This work affords a practical checklist that specifies the civil engineering trades-related hazards and offers a safety indicator to identify the safety level of a construction project concerning the hazards of the civil engineering trades.

The methodology depends on reviewing the archival works, visiting the construction sites, utilizing the direct observation and preliminary hazard analysis methods and conducting semistructured interviews to pinpoint and validate the checklist of the civil engineering trades-related hazards. Additionally, a questionnaire-based survey with the rank sum weight technique has been employed to assemble and analyze the data required to build the safety indicator.

Relying upon the used methodology, 70 hazards under the trades of general environment, earth, demolition, excavation, concrete, dewatering, waterproofing insulation and scaffolding have been pinpointed and validated. This is in addition to the safety level indicator of the civil engineering trades-related hazards (SLICETH), which indicates high viability during its validation in five national and international projects.

The value of this work lies in its ability to tackle the gap existing in the safety management knowledge regarding the notion of the hazards of the civil engineering trades and their influences on the safety performance of the construction projects. As a result, it offers a complete knowledge to the academics and the practitioners for confronting the negative impacts of the civil engineering trades-related hazards. Consequently, it helps in enhancing the safety performance level in the sites of the construction projects.

Organizations working in high-hazard environments contribute significantly to modern society and the economy, not only for the valuable resources they hold but also for the indispensable products and services they provide, such as power generation, transportation and defense weapons. Therefore, the main purpose of this study is to develop a framework that outlines future research on systems safety and provides a better understanding of how organizations can effectively manage hazard events.

In this research, we developed the high hazard theory (HHT) and a theoretical framework based on the grounded theory method (GTM) and the integration of three established theoretical perspectives: normal accident theory (NAT), high reliability theory (HRT) and resilience engineering (RE) theory.

We focused on the temporal aspect of accidents to create a timeline showing the progression of hazard events and the factors contributing to safety and hazards in organizations. Given the limitations of the previous theories in providing a coherent explanation of hazard event escalation in high-hazard organizations (HHOs), we argue that the highlighted theories can be more complementary than contradictory regarding their standpoints on disasters and accident prevention.

A proper appreciation of the hazard nature of organizations can help reduce their susceptibility to failure, prevent outages and breakdowns of systems, identify areas for improvement and develop strategies to enhance performance.

By developing HHT, we contribute to systems safety research by developing a new, refined theory and enrich the theoretical debate. We also expand the understanding of scholars and practitioners about the characteristics of organizations working in high-hazard environments.

Every year, hundreds of people have died and thousands have been injured because of insufficient management of well control at oil and gas drilling and production sites. Major causes which have been reported in previous studies included uncontrollable blowouts and failure of blowout preventers because of insufficient safety practices. These onshore and offshore blowout disasters not only harm the work force but also critically affect the environment and marine life. In this research paper, a detailed quantitative survey and qualitative risk assessments (RA) have been carried out for assessing the potentially hazardous activities associated with well control along with their appropriate controls and risk reduction factors and mitigating measures in Middle East and south East Asian countries.

The sequential explanatory research design has been adopted in this study. Whereas, descriptive statistical approach has been used for the quantitative data analysis of this study. While, in-depth interview approach has been used for qualitative data collection. Similarly, what-if analysis method has been adopted in this study for the identification of effective safety and health risk mitigating factors because it provides in-depth information from health and safety environment experts.

The cumulative quantitative results based on the response from Saudi Arabian drilling industry have indicated that the well control operation is highly hazardous then Malaysian and Pakistani oil and gas industries. Likewise, findings from what-if analysis approach demonstrate that the drilling crewmembers have repetitively faced life threatening hazards which occur (safety and chemical) during well control onshore and offshore operation because of oil base mud, confined space at site, pinch points and falling during working on blow out preventers. According to the overall result, respondents have highly recommended engineering and administrative hazard controlling factors as most suitable for the elimination of safety and chemical hazards during well control activities.

Besides, the developed methodological framework for the identification of suitable hazard controls can also be effectively used for potential hazards reorganization and identification of suitable hazard controls for other drilling and production industries and regions for accident prevention and safety and health management.

This is a first comparative research study which has been carried out in Malaysian, Saudi Arabian and Pakistani onshore and offshore oil and gas industries for well control health and safety management and reorganization of most effective hazards mitigating factors at drilling sites.

Occupational safety issues among employees remains a contemporary and omnipresent concern. In developing countries, safety-related problems are amplified, resulting in higher incidences of serious accidents and occupational diseases. This study aims to evaluate employees’ knowledge and attitudes toward occupational health and safety, and how these influence overall occupational health and safety compliance. Ghana’s oil and gas industry provides the contextual backdrop for this research, given it is characterized by high rates of injury.

A positivist and deductive research strategy was used to quantitatively analyze both primary and secondary data sources. A structured survey was administered to industry employees, and multiple linear regression was used to establish the effects of employee’s knowledge and attitude toward occupational health hazards on overall health and safety compliance.

The findings indicate that most employees had both a high level of knowledge and positive attitude toward mitigating occupational health hazards. Moreover, the study reveals that most employees complied with occupational health safety practices. However, the study also reveals that the effect of employees’ knowledge and attitude toward occupational health hazards does not translate into deployment of comprehensive safety practices. Interestingly, female employees were found to be more knowledgeable and compliant with occupational health and safety practices than their male counterparts.

Premised upon the findings, the study recommends: implementation of relevant education and training programs encompassing the proper usage of machinery and equipment, tailored hazard safety training appropriate to specific employee job requirements, effective dissemination of risk information and governance initiatives that enforce strict adherence to correct safety procedures.

The study uniquely examines the influence of employee’s knowledge of health and safety to overall compliance within the oil and gas industry. Cumulatively, the study’s findings and recommendations contribute to improving the occupational health and safety outcomes within the industry.

High-reliability performance and high-hazard are intertwined in High-Reliability Organizations (HROs) operations; these organizations are highly safe, highly hazardous and highly significant for the modern society, not only for the valuable resources they have, but also the indispensable services they provide. This research intend to understand how HROs could produce high quality performance despite their challenging and demanding contexts. The research followed an emic approach to develop an organizational framework that reflects the contribution of the seeming traits of the organizations to the operations safety based on the workers point of views about the safety of workstations.

This research adopted mixed methods of in-depth interviews and literature review to identify the structural characteristics of high-reliability organizations (HROs) embedded in the organizations studies and developed a theoretical based structural framework for HROs. Furthermore, a systemic literature review was adopted to find the evidence from the organizations literature for the identified characteristics from the interviews from the first stage. The setting for this study is six Chinese power stations, four stations in Hubei province central China and two stations in the southern China Guangdong province.

The organizational framework is a key determinant to achieve high-reliability performance; however, solely it cannot explain how HROs manage the risks of hazard events and operate safely in high-hazard environments. High-reliability performance is attributed to the interaction between two sets of determinants of safety and hazard. The findings of this research indicate that HROs systems would be described as reliable or hazardous depending on the tightly coupled setting, complexity, bureaucracy involvement and dynamicity within the systems from one hand, and safety orientation, failure intolerance, systemwide processing, the institutional setting and the employment of redundant systems on other hand.

The authors developed an organizational framework of organizing the safety work in HROs. The applied method of interviewing and literature review was not adopted in any other researches.

Safety training can effectively facilitate workers’ safety awareness and prevent injuries and fatalities on construction sites. Traditional training methods are time-consuming, low participation, and less interaction, which is not suitable for students who are born in Generation Z (Gen Z) and expect to be positively engaged in the learning process. With the characteristic of immersive, interaction, and imagination, virtual reality (VR) has become a promising training method. The purpose of this study is to explore Gen Z students’ learning differences under VR and traditional conditions and determine whether VR technology is more suitable for Gen Z students.

This paper designed a comparison experiment that includes three training conditions: VR-based, classroom lecturing, and on-site practice. 32 sophomore students were divided into four groups and received different training methods. The eye movement data and hazard-identification index (HII) scores from four groups were collected to measure their hazard-identification ability. The differences between the participants before and after the test were tested by paired sample t-test, and the differences between the groups after the test were analyzed by one-way Welch’s analysis of variance (ANOVA) test.

The statistical findings showed that participants under VR technology condition spent less time finding and arriving at the Areas of Interest (AOIs). Both the eye movement data and HII scores indicated that VR-based safety training is an alternative approach for Gen Z students to traditional safety training methods.

These findings contribute to the theoretical implications by proving the applicability of VR technology to Gen Z students and empirical implications by guiding colleges and universities to design attractive safety training lessons.

The use of building information modelling (BIM) methodology has been increasing in the architecture, engineering, construction and operation sector, driven to a new paradigm of work with the use of three-dimensional (3D) parametric models. However, building information modelling (BIM) has been mostly used for as-built models of a building, not yet been widely used by designers during project and construction phases for occupational risks prevention and safety planning. This paper aims to show the capacity of developing tools that allow adding functionalities to Revit software to improve safety procedures and reduce the time spent on modelling them during the design phase.

To reach this objective, a structural 3D model of a building is used to validate the developed tools. A plugin prototype based on legal regulations was developed, allowing qualitative safety assessment through the application of job hazard analysis (JHA), SafeObject and checklists. These tools allow the automated detection of falls from height situations and the automated placement of the correspondent safety systems.

Revit application programming interface allowed the conception and addition of several functionalities that can be used in BIM methodology, and more specifically in the prevention of occupational risks in construction, contributing this paper to the application of a new approach to the prevention through design.

This paper is innovative and important because the developed plugins allowed: automated detection of potential falls from heights in the design stage; automated introduction of safety objects from a BIM Safety Objects Library; and the intercommunication between a BIM model and a safety database, bringing JHA integration directly on the project. The prototype of this work was validated for fall from height hazards but can be extended to other potentials hazards since the initial design stage.

The construction industry in Singapore has been recording higher accident rates compared with other industries. As an initiative to reduce occupational accidents, the Building and Construction Authority of Singapore proposed to clients to adopt quality‐fee method (QFM) for tender evaluation, departing from the traditional lowest price method. Assessing tenderers' safety proposals is a crucial task for clients' project managers to implement QFM, but it is a difficult and challenging task. This study aims to provide a tool to facilitate this.

A triple‐index model was developed for estimating potential accident risks in building projects, given that a contractor's proposed safety system is in place to combat the accident hazards inherent in the project. The model was then automated as a decision support system (DSS). Case studies were conducted to test the reliability and accuracy of the DSS.

The DSS produces project accident indices, and it was found in the case studies that values for this index are positively correlated with the number of accidents in building projects. The findings proved that the DSS makes a significant contribution to the state‐of‐the‐art of risk assessment.

The proposed model and its DSS would facilitate the implementation of QFM for tender evaluation and thereby reduce accidents.

The paper presents a novel tool to combat accidents in construction at the early stage of tender evaluation.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.