Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 28 results ...

Abbasian Hosseini, S A (2015) Social and engineering aspects of construction site management using simulation and social network analysis, Unpublished PhD Thesis, , North Carolina State University.

Abudayyeh, O Y (1991) An automated data acquisition and data storage model for improving cost and schedule control, Unpublished PhD Thesis, , North Carolina State University.

Al-Ibrahim, A (2006) Optimizing roof maintenance and replacement decisions, Unpublished PhD Thesis, , North Carolina State University.

Alsharef, A F A (2022) Leveraging data analytics to improve construction operations and occupational safety, Unpublished PhD Thesis, , North Carolina State University.

Arocho Rosa, I d M (2015) The impact of transportation construction projects and activities on emissions, Unpublished PhD Thesis, , North Carolina State University.

Attia, T M (2002) The impact of communication technologies on group problem-solving performance in construction, Unpublished PhD Thesis, , North Carolina State University.

Bai, Y (1996) Planning and control model for robotic bridge painting, Unpublished PhD Thesis, , North Carolina State University.

Banerjee, S (2022) Developing an organization-wide knowledge repository with intelligent knowledge transference to enhance construction project outcomes, Unpublished PhD Thesis, , North Carolina State University.

Becker, T C (2012) Improving the predictability of construction project outcomes through project level indirect construction cost practices, Unpublished PhD Thesis, , North Carolina State University.

Chmielewski, H T (2023) Overcoming modeling barriers in long-term interdependent infrastructure systems planning, Unpublished PhD Thesis, , North Carolina State University.

Choi, B (2003) Topics in risk-based design and performance evaluation of structures, Unpublished PhD Thesis, , North Carolina State University.

Dorr, E E (1979) Economies of scale in high school construction and operation, Unpublished PhD Thesis, , North Carolina State University.

Hollar, D A (2011) Predicting preliminary engineering costs for highway projects, Unpublished PhD Thesis, , North Carolina State University.

Isied, M M (2023) Critical assessment of asphalt mixture design procedures and asphalt mixture classification systems, Unpublished PhD Thesis, , North Carolina State University.

Javanmardi, A (2019) Strategies and predictive models for reducing workflow variability in construction production systems, Unpublished PhD Thesis, , North Carolina State University.

Kranz, C N (2021) Optimizing compost incorporation for stormwater infiltration, runoff quality, and vegetation establishment in post-construction soils, Unpublished PhD Thesis, , North Carolina State University.

Lee, D (2023) Development of a real-time automated mobile robotic welding system in construction, Unpublished PhD Thesis, , North Carolina State University.

Lee, J (2005) Value analysis of Wi-Fi agent functions in construction, Unpublished PhD Thesis, , North Carolina State University.

Namian, M (2017) Factors affecting construction hazard recognition and safety risk perception, Unpublished PhD Thesis, , North Carolina State University.

  • Type: Thesis
  • Keywords: hazards; safety; training; United States; construction worker; professional
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/2016185492
  • Abstract:
    Construction hazard recognition and the accurate perception of safety risk are fundamental to the success of any safety management program. When hazards remain unrecognized, or the associated safety risk is underestimated, the likelihood of catastrophic and unexpected injuries dramatically increases. Unfortunately, recent research has shown that a large number of hazards remain unrecognized in construction workplaces. Likewise, past studies have demonstrated that safety risk is widely underestimated within construction. Therefore, to improve safety performance, a proper understanding of factors that influence hazard recognition and safety risk perception is vital. Towards achieving this goal, the objective of the research was to evaluate the effects of three factors – namely (1) safety training methods, (2) training transfer elements, and (3) workplace distractions – on hazard recognition and safety risk perception. The research objectives were accomplished through three independent studies. Study I focused on evaluating the effect of training on hazard recognition performance and safety risk perception, Study II focused on evaluating the role of training transfer elements in ensuring that concepts learned in training are adopted at the workplace, and Study III examined the effect of distraction on hazard recognition and safety risk perception. The objectives of Study I and Study II were accomplished by gathering empirical data from 51 active projects in the United States. Specifically, data pertaining to the training method (i.e., high-engagement versus low-engagement training) and training transfer elements adopted at the project level were gathered, following which the hazard recognition ability of representative workers and their safety risk perception levels were measured. The results revealed that (1) compared to low-engagement training, high-engagement training is associated with higher levels of hazard recognition and safety risk perception; (2) the effect of training on safety risk perception is mediated by hazard recognition performance; and (3) training efforts may be undermined if training transfer elements are not synergistically adopted. The objectives of Study III were accomplished through an experimental effort involving 70 construction workers who were randomly assigned to a distracted or an undistracted condition. While in the assigned condition the worker’s hazard recognition performance and safety risk perception levels were measured using construction case images captured from real projects. The findings revealed that the distracted workers recognized a smaller proportion of hazards compared to the undistracted workers. However, there were no significant differences in the level of perceived safety risk between the two groups. This study advances knowledge by examining factors that affect hazard recognition and safety risk perception levels among construction workers. It is expected that the research, presented in this dissertation, will be beneficial to construction professionals and workers seeking to improve hazard recognition levels and safety outcomes in construction.

Noghabaei, M (2021) Visual and behavioral data analysis in immersive virtual environments for enhancing construction safety, planning, and control, Unpublished PhD Thesis, , North Carolina State University.

Nuntasunti, S (2004) The effects of visual-based information logistics in construction, Unpublished PhD Thesis, , North Carolina State University.

Orgut, R E (2017) Metrics that matter: Improving project controls and analytics in construction industry, Unpublished PhD Thesis, , North Carolina State University.

Piper, B E B (2014) Optimization methods for improving the resilience of civil infrastructure systems subject to natural hazards, Unpublished PhD Thesis, , North Carolina State University.

Rihani, R A (2006) An investigation of critical success factors for robotic masonry, Unpublished PhD Thesis, , North Carolina State University.

Russell, M M (2013) Allocation of time buffer to construction project task durations, Unpublished PhD Thesis, , North Carolina State University.

Vereen, S C (2013) Forecasting skilled labor demand in the US construction industry, Unpublished PhD Thesis, , North Carolina State University.

Wambeke, B W (2011) Identifying, prioritizing, and reducing variation of construction related tasks, Unpublished PhD Thesis, , North Carolina State University.

Zuluaga Santa, C M (2018) Protecting bridge maintenance workers: Evaluating fall protection supplementary devices using virtual prototyping and wearable technology, Unpublished PhD Thesis, , North Carolina State University.