Strategies for construction hazard recognition

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TABLES

CHAPTER 1: INTRODUCTION CHAPTER 2: EMERGING STRATEGIES FOR CONSTRUCTION SAFETY AND HEALTH HAZARD RECOGNITION Table 1: Emerging hazard recognition programs with application to construction Table 2: Decision Criterion for down-selection process Table 3: Results of rating process CHAPTER 3: ENHANCING CONSTRUCTION HAZARD RECOGNITION WITH HIGH FIDELITY AUGMENTED VIRTUALITY Table 1: Energy sources for hazard identification process Table 2: Interrupted time series regression models Table 3: Results of Case 1- Multiple baseline study on oil and gas facility Table 4: Results of Study 2- Multiple baseline study on fluff pulp processing facility CHAPTER 4: ENHANCING CONSTRUCTION HAZARD RECOGNITION AND COMMUNICATION WITH ENERGY-BASED COGNITIVE MNEMONICS AND A SAFETY MEETING MATURITY MODEL A MULTIPLE BASELINE STUDY Table 1: Energy sources for hazard identification process Table 2: Interrupted time series regression models Table 3: Results of Case 1- Multiple baseline study on modular construction project Table 4: Results of Case 2- Multiple baseline study on power plant project CHAPTER 5: EXPERIMENTAL FIELD TESTING OF A REAL-TIME CONSTRUCTION HAZARD IDENTIFICATION AND TRANSMISSION TECHNIQUE Table 1: Interrupted time series regression models Table 2: Results of Case 1- Multiple baseline study on food processing facility Table 3: Results of Case 2- Multiple baseline study on manufacturing plant CHAPTER 6: CONCLUSIONS AND RECOMMENDATIONS

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Figures

CHAPTER 1: INTRODUCTION Figure Phases of the Study Figure 2: Detailed Research Overview CHAPTER 2: EMERGING STRATEGIES FOR CONSTRUCTION SAFETY AND HEALTH HAZARD RECOGNITION Error! Bookmark not defined. Figure 1: Stages of the pre-job safety meeting Figure 2: Continuous improvement maturity levels Figure 3: Rendering of the preliminary augmented and interactive virtuality training environment CHAPTER 3: ENHANCING CONSTRUCTION HAZARD RECOGNITION WITH HIGH FIDELITY AUGMENTED VIRTUALITY Error! Bookmark not defined. Figure 1: Development of SAVES Figure 2: D User interface shown in SAVES to the user when a hazard is recognized in the D environment. ……………………………………………………………………….……………49 Figure 3: Conceptual framework of SAVES Figure 4: Mathematical model selection flowchart for analysis Figure 5: Results of Case 1- Multiple baseline study on oil and gas facility Figure 6: Results of Case 1- Multiple baseline study on fluff pulp processing facility CHAPTER 4: ENHANCING CONSTRUCTION HAZARD RECOGNITION AND COMMUNICATION WITH ENERGY-BASED COGNITIVE MNEMONICS AND A SAFETY MEETING MATURITY MODEL A MULTIPLE BASELINE STUDY Figure 1: Mathematical model selection flowchart for analysis Figure 2: Construction scenario image with examples of identifiable hazards Figure 3: Results of Case 1- Multiple baseline study on modular construction project Figure 4: Results of Case 2- Multiple baseline study on power plant project

xiii CHAPTER 5: EXPERIMENTAL FIELD TESTING OF A REAL-TIME CONSTRUCTION HAZARD IDENTIFICATION AND TRANSMISSION TECHNIQUE Figure 1: The role of hazard recognition in injury prevention Figure 2: Hazard identification and management process Figure 3: Hazard identification and Transmission (HIT Board) …………………………….…130 Figure 4: Results of Case 1- Multiple baseline study on food processing facility Figure 5: Results of Case 2- Multiple baseline study on manufacturing plant CHAPTER 6: CONCLUSIONS AND RECOMMENDATIONS Figure 1: Outcome strategies of the research Figure 2: Components of SAVES model ………………………………………………………160 Figure 3: Components of SMQM model …………………………………………………....…161 Figure 4: Components of HIT ………………………………………………………………….161 Figure 5: Schematic comparision of pedagogy and andragogy based safety training methods Figure 6: Social network diagram of crew 2 and crew 10……………………………………...170

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