Abstracts – Browse Results
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Al-Gahtani, K S (2006) A comprehensive construction delay analysis technique: Enhanced with a float ownership concept, Unpublished PhD Thesis, , State University of New York at Buffalo.
Aramvareekul, P (2003) An analysis of labor productivity in the United States construction industry, Unpublished PhD Thesis, , State University of New York at Buffalo.
Delaney, J W (2018) The effect of competition on bid quality and final results on state dot projects, Unpublished PhD Thesis, , State University of New York at Buffalo.
Deng, F (2004) Expert and decision-support system approaches for construction project financing and cash flow management for large infrastructure projects, Unpublished PhD Thesis, , State University of New York at Buffalo.
Hu, H (2014) Development of interoperable data protocol for integrated bridge project delivery, Unpublished PhD Thesis, , State University of New York at Buffalo.
Liang, D (2001) Improved reliability and economic modeling for new and retrofitted low-rise structures subjected to extreme wind hazards, Unpublished PhD Thesis, , State University of New York at Buffalo.
Mannarino, J A (2001) Evaluation of the construction management delivery system and establishing a model for selection: A qualitative approach, Unpublished PhD Thesis, , State University of New York at Buffalo.
Nikellis, A (2019) Risk-informed decision making for civil infrastructure subjected to single and multiple hazards, Unpublished PhD Thesis, , State University of New York at Buffalo.
Pan, N-H (1996) Automatic data processing technologies and industry-wide information transfer standards in the construction industry, Unpublished PhD Thesis, , State University of New York at Buffalo.
Ren, S (1997) GIS-based tools for earthquake risk assessment of point and spatially distributed lifeline systems, Unpublished PhD Thesis, , State University of New York at Buffalo.
Schmidt, J R (1997) Quantifying the impact of construction accidents using predictive models, Unpublished PhD Thesis, , State University of New York at Buffalo.
- Type: Thesis
- Keywords: disability; construction safety; injury; insurance; safety; professional
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/304394718
- Abstract:
A simple method for a contractor to predict the impact of construction accidents does not currently exist. This research looks at the efficacy of statistical modeling of construction safety data, investigates methods to model construction safety performance, and presents tools to predict the impacts of accident losses in compensation weeks. This is done for a given source and nature of injury or illness, accident type, disability type, occupation, part of body involved, and age of injured. The results of this research have demonstrated the efficacy of a few modeling approaches, exposing the potential for continued research and refinement to suit the user industry. The New York State Workers' Compensation data of 91,953 cases of construction injuries and illnesses closed between 1980 to 1988 serve as the basis for this research. Linear regression modeling is investigated and suggestions for improvement of such a model are presented. The introduction of classification and regression trees (CART) as a tool for simplified analyses of the impact of construction-related accidents is presented. The concepts for the models developed herein can be used to predict the impact of construction work site accident losses in compensation weeks. Refined versions of these regression and CART models may prove useful to many in the construction industry including insurance providers, contractors, safety professionals, construction engineers, construction managers, and design engineers.
Small, E P (1999) Development of a methodology for the integration of seismic risk mitigation activities in project and network level bridge management systems, Unpublished PhD Thesis, , State University of New York at Buffalo.
Zech, W C (2004) Enhancing work zone safety, Unpublished PhD Thesis, , State University of New York at Buffalo.