Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 15 results ...
Al-Qalyuby, H A (2005) Inductive learning methodology using OSHA construction accident and citation data, Unpublished PhD Thesis, , Wayne State University.
Alpmen, A S (2013) Development and implementation of a proactive safety performance evaluation system for general contractors, Unpublished PhD Thesis, , Wayne State University.
Alzeraa, A (2018) Impact of project communications effectiveness on construction disputes, Unpublished PhD Thesis, , Wayne State University.
Arafat, G H (1991) Concept evaluation in structural design utilizing multiattribute utility theory and a knowledge-based approach, Unpublished PhD Thesis, , Wayne State University.
Atin, A (2016) Project risk propagation modeling of engineering, procurement and construction, Unpublished PhD Thesis, , Wayne State University.
Baradan, S (2004) Comparative injury risk analysis of building trades, Unpublished PhD Thesis, , Wayne State University.
Cakan, H (2012) Analysis and modeling of roofer and steel worker fall accidents, Unpublished PhD Thesis, , Wayne State University.
Elkhatib, M M (1995) Developing an integrated highway information system for safety management using gis, Unpublished PhD Thesis, , Wayne State University.
Kazan, E E (2013) Analysis of fatal and nonfatal accidents involving earthmoving equipment operators and on-foot workers, Unpublished PhD Thesis, , Wayne State University.
- Type: Thesis
- Keywords: construction equipment; equipment; injury; earthmoving; safety; training
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/1442894054
- Abstract:
In view of the limitations of univariate statistics for studying construction accidents, a multivariate approach was undertaken using crosstabulation analysis and logistic regression. Heavy construction equipment accidents related data for four type of equipment; backhoe, bulldozer, excavator and scraper were incorporated in the study using categorical variables. Degree of injury indicating the severity of accident outcome (fatal vs. nonfatal) was selected as the dependent variable, and a variety of factors potentially affecting the outcome comprised the independent variables. Cross tabulation results enabled the understanding and evaluation of associations between the research variables, while logistic regression yielded predictive models that helped describe accident severity in terms of the contributing factors. Factors increasing or decreasing the odds of accident severity (degree of injury) in the presence or absence of various factors were identified and quantified. It was concluded that multivariate analysis serves as a much more powerful tool than univariate methods in eliciting information from construction accident data. Union status of workers and the safety training they were provided according to OSHA guidelines vastly affect the degree of injury and lessen the odds of fatality.
Koehn, E (1975) Probabilistic system for project management, Unpublished PhD Thesis, , Wayne State University.
Kulaksiz, T (2019) Analysis of factors influencing return on investment (ROI) for building information modeling (BIM) implementation, Unpublished PhD Thesis, , Wayne State University.
Mishra, S (2009) Transportation infrastructure investment decision making under uncertainty and risk, Unpublished PhD Thesis, , Wayne State University.
Naizghi, M S (2021) Factors affecting implementation of earned value management (EVM) in construction projects, Unpublished PhD Thesis, , Wayne State University.
Najib, T (2005) Investigation of success factors for smaller engineering firms, Unpublished PhD Thesis, , Wayne State University.
Vaglica, J (2018) Investigation of factors contributing to building code violations in residential construction, Unpublished PhD Thesis, , Wayne State University.