This dissertation focuses on occupational risk communication created by grantees of the Occupational Safety and Health Administration\'s Susan Harwood Training Grant (SHTG) Program. Although the SHTG program is aimed at workers in most high-hazard industries, I focus on occupational risk communication developed for residential construction workers, who remain the most at-risk for on-the-job injuries and fatalities. In 2011 (the most recent year for which statistics are available), 721 construction workers died in work-related accidents (Bureau of Labor Statistics, 2012). In this study, I relied primarily on two research methods: context-sensitive text analysis of deliverables created by twelve SHTG program grantees from 2006-2009 and interviews with representatives of four of these twelve grantees. The findings from this research illustrate the complexity of creating occupational risk communication in grant-related institutional settings. Although the process might seem straightforward, it is composed of twelve milestones, each of which can result in difficulties for the final deliverables. Grantees are asked to create safety training deliverables that includes principles of active workplace learning; however, qualitative analysis of these deliverables indicates that such principles are rarely enacted. Instead, the deliverables are marked by an emphasis on technical language, as well as by death-focused justification strategies that scare trainees into following the guidelines being presented. Each of these characteristics can alienate audiences of varied linguistic and cultural backgrounds, such as those found in the construction industry. / Ph. D.

This thesis presents the design and analysis of a vest-worn alerting system with the purpose of warning those who wear it. The goal of this thesis has been shaped around roadside construction workers, people who endeavor to build and maintain the roadways in highly noisy and dangerous environments. Our goal is to determine what type of alerting method best interrupts the worker, allowing him or her to know that danger approaches. Multiple alerting methods will be compared via reaction time and user data derived through critical incidents from the Critical Incident Technique (CIT) and notification-focused questionnaires. All testing is done in a simulated noisy environment. Each of these alerting methods involve combinations of auditory, visual, or haptic components. At the end of this thesis, the different alerting methods will be compared and a mode will be suggested for wearable notification activities. The work proposed in this thesis focuses mostly on vest design and alert testing for construction-based scenarios, but the work can be extended to police and highway worker scenarios. / Master of Science

Occupational Health and Safety is largely determined by the creation of a Safety Culture that minimises risk. In South Africa the construction sector is the second most hazardous industry after mining. This study focuses on two exemplary construction firms in the Western Cape. The main research question is "How do the companies ensure coherent safety management practices that create a safety culture?" Based on a modification of a Balanced Health and Safety Scorecard for the Construction sector five sub-questions address safety management practices from a Management Perspective, an Operational Perspective, a Learning Perspective and a Client and Compliance Perspective. Data has been gathered from company documents, semistructured interviews, together with on-site observation. In conclusion the study reveals that management commitment, active communication and employee acknowledgement contribute positively to creating an effective safety culture on-site. Further studies are recommended with a specific view on small and medium companies in the construction sector. / Magister Commercii - MCom

The poor safety situation in the United Kingdom (UK) construction industry and its adverse socio-economic record are well documented in the existing literature. The application of Lean Construction techniques has been proposed as an effective strategy to address accidents on construction sites, a major safety concern in the construction industry. However, examination of the relationship between Lean Construction techniques and safety issues has been marginal. This study explores this relationship with the aim of developing a framework for using Lean Construction techniques to promote safety on UK construction sites. A framework was initially devised based on a synthesis of the literature and further refined based on findings from interviews held with 10 Lean Construction practitioners on antecedents of Lean Construction techniques and safety issues. In order to develop and confirm the framework, data was collected from practicing Lean Construction organisations using a questionnaire survey and analysed using descriptive statistics, inferential statistics and inter-rater agreement statistical test to examine the pattern and extent of the relationships. The study found a total of thirty-eight (38) relationships between Lean Construction techniques and safety issues. These relationships are mainly positive in nature in that they demonstrate path to improvement in safety on construction sites. They show which techniques could be used to address the relevant safety issue. Furthermore, it was established that the application of Lean Construction techniques on construction sites can be impeded by challenges such as: lack of Lean Construction knowledge, complexity, misconception about Lean and difficulties in changing employees’ working culture. The study identified strategies that could be used to address these challenges. These include enlightenment on benefits of Lean practice, publication of improvements realised from Lean practice, training, workers’ involvement and empowerment, persistence, robust planning and gradual step-by-step implementation. The study, therefore, concludes that Lean Construction techniques have positive relationships with safety issues on construction sites in the UK and on the basis of the relationships develops an integrated framework to guide application of the techniques by contracting organisations in promoting safety. The study makes a number of recommendations including the incorporation of Lean Construction practice into government health and safety initiatives, regulations and policies, and identifies areas for further research.

Recent research studies have been conducted for automating the safety assessment process in order to identify risks and safety hazards on a job site without human intervention. Regardless of the benefits of automated assessment, safety planners still face challenges selecting applicable devices, methods, and algorithms for safety assessment. This is due to the fact that (1) such devices, methods, and algorithms typically have measurement and processing errors, (2) construction operations and sites are unique and complex, and (3) the impact of the errors is different depending on workspaces. The primary objective of this research is to develop an error impact analysis method to model data collection and data processing errors caused by image-based devices and algorithms and to analyze the impact of the errors for spatial safety assessment of earthmoving and surface mining activities. The literature review revealed the possible causes of accidents on earthmoving activities, investigated the spatial risk factors of these types of accident, and identified spatial data needs for safety assessment based on current safety regulations. Image-based data collection devices and algorithms for safety assessment were then evaluated. Analysis methods and rules for monitoring safety violations were also discussed. A testbed to model and simulate workspaces and related spatial safety violations was finally designed. Using the testbed, the impacts of image-based algorithm and device errors―more specifically, object identification and tracking errors―on the data collected and processed were investigated for the safety planning purpose. Field experiments assessed the feasibility of automated spatial data collection and analysis methods. Industrial project and safety experts verified the proposed safety rules and the testbed design. Computer simulations were conducted for testing the proposed testbed. The testbed was used to model several earthmoving operation scenarios, detect simulated safety violations using safety rules, and finally evaluate the impact of different object identification and tracking errors on the safety analyses. The result of this research could be used for improving site safety assessment and planning by assisting safety planners to understand workspaces and to evaluate errors related to the use of different image-based technologies for safety assessment of earthmoving and surface mining activities. / text

Work zones are visually and physically complex environments, requiring that drivers maintain control of their vehicle and comprehend atypical and often discontinuous traffic control devices to safely navigate appropriate paths. Freeway diverges represent particularly difficult work zones areas. This thesis investigates current methods of delineating diverges in freeway work zones to determine important characteristics of these methods for future research. A virtual environment was constructed with two ramp geometries: a freeway continuing straight and one curving left. Still images of work zones on these geometries were created using drums spaced 10 ft apart, drums spaced 40 ft apart, drums spaced 40 ± 2 ft apart, and portable concrete barriers. These alternatives were used to construct temporary ramps that were either open or closed. 39 participants were asked to identify whether the ramp was open or closed and their responses were recorded to evaluate the performance of each alternative. Results indicate the importance of the Gestalt principles of closure, proximity, and continuity in perception of temporary exit ramps in work zones. These results will be used to guide future research into methods of delineating diverges in freeway work zones.

The U.S. construction industry continues to rank as one of the most dangerous work environments when compared to other industrial sectors. Construction companies are required to record and report lagging safety leading indicators including fatalities, injuries, and illnesses. Safety leading indicators provide an opportunity to identify construction site hazards and hazardous worker behavior before a fatality, injury, or illness occurs. Further improvements are also necessary for construction safety through the use of technology. The application of advanced or emerging technologies can have a significant role in enhancing construction worker safety performance. This research seeks to report and analyze safety leading indicators, specifically near misses. Furthermore, technologies capable of providing alerts in real-time to construction equipment operators and ground workers during hazardous proximity situations are reviewed. A testing method for proximity detection and alert devices for the construction environment is presented. Operator visibility, including impacts of design components, is also measured and analyzed. One major contribution of this research is the creation of a near miss reporting program ready for implementation for construction companies. Other research contributions include understanding of impacts of design on operator visibility, scientific evaluation data of proximity sensing technology, and a test method for proximity detection and alert system deployed in the construction environment. Research findings can be disseminated for improved construction worker safety education and training.

The construction industry has consistently suffered the highest number of fatalities among all human involved industries over the years. Safety managers struggle to prevent injuries and fatalities by monitoring at-risk behavior exhibited by workers and equipment operators. Current methods of identifying and reporting potential hazards on site involve periodic manual inspection, which depends upon personal judgment, is prone to human error, and consumes enormous time and resources. This research presents a framework for automatic identification and analysis of potential hazards by analyzing spatio-temporal data from construction resources. The scope of the research is limited to human-equipment interactions in outdoor construction sites involving ground workers and heavy equipment. A grid-based mapping technique is developed to quantify and visualize potentially hazardous regions caused by resource interactions on a construction site. The framework is also implemented to identify resources that are exposed to potential risk based on their interaction with other resources. Cases of proximity and blind spots are considered in order to create a weight-based scoring approach for mapping hazards on site. The framework is extended to perform ``what-if'' safety analysis for operation planning by iterating through multiple resource configurations. The feasibility of using both real and simulated data is explored. A sophisticated data management and operation analysis platform and a cell-based simulation engine are developed to support the process. This framework can be utilized to improve on-site safety awareness, revise construction site layout plans, and evaluate the need for warning or training workers and equipment operators. It can also be used as an education and training tool to assist safety managers in making better, more effective, and safer decisions.

abstract: The construction industry faces important performance problems such as low productivity, poor quality of work, and work-related accidents and injuries. Creating a high reliability work system that is simultaneously highly productive and exceptionally safe has become a challenge for construction practitioners and scholars. The main goal of this dissertation was to create an understanding of high reliability construction work systems based on lessons from the production practices of high performance work crews. High performance work crews are defined as the work crews that constantly reach and maintain a high level of productivity and exceptional safety record while delivering high quality of work. This study was conceptualized on findings from High Reliability Organizations and with a primary focus on lean construction, human factors, safety, and error management. Toward the research objective, this dissertation answered two major questions. First, it explored the task factors and project attributes that shape and increase workers' task demands and consequently affect workers' safety, production, and quality performance. Second, it explored and investigated the production practices of construction field supervisors (foremen) to understand how successful supervisors regulate task and project demands to create a highly reliable work process. Employing case study methodology, this study explored and analyzed the work practices of six work crews and crew supervisors in different trades including concrete, masonry, and hot asphalt roofing construction. The case studies included one exceptional and one average performing crew from each trade. Four major factors were considered in the selection of exceptional crew supervisors: (1) safety performance, (2) production performance, (3) quality performance, and (4) the level of project difficulty they supervised. The data collection was carried out in three phases including: (1) interview with field supervisors to understand their production practices, (2) survey and interview with workers to understand their perception and to identify the major sources of task demands, and (3) several close field observations. Each trade's specific findings including task demands, project attributes, and production practices used by crew supervisors are presented in a separate chapter. At the end the production practices that converged to create high reliability work systems are summarized and presented in nine major categories. / Dissertation/Thesis / Ph.D. Construction 2012

Magister Commercii - MCom / Occupational Health and Safety is largely determined by the creation of a Safety Culture that minimises risk. In South Africa the construction sector is the second most hazardous industry after mining. This study focuses on two exemplary construction firms in the Western Cape. The main research question is "How do the companies ensure coherent safety management practices that create a safety culture?" Based on a modification of a Balanced Health and Safety Scorecard for the Construction sector five sub-questions address safety management practices from a Management Perspective, an Operational Perspective, a Learning Perspective and a Client and Compliance Perspective. Data has been gathered from company documents, semistructured interviews, together with on-site observation. In conclusion the study reveals that management commitment, active communication and employee acknowledgement contribute positively to creating an effective safety culture on-site. Further studies are recommended with a specific view on small and medium companies in the construction sector.