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Al-Qalyuby, H A (2005) Inductive learning methodology using OSHA construction accident and citation data, Unpublished PhD Thesis, , Wayne State University.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A S (2013) Development and implementation of a proactive safety performance evaluation system for general contractors, Unpublished PhD Thesis, , Wayne State University.
Alzeraa, A (2018) Impact of project communications effectiveness on construction disputes, Unpublished PhD Thesis, , Wayne State University.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(1991) Concept evaluation in structural design utilizing multiattribute utility theory and a knowledge-based approach, Unpublished PhD Thesis, , Wayne State University.
Atin, A (2016) Project risk propagation modeling of engineering, procurement and construction, Unpublished PhD Thesis, , Wayne State University.
Baradan, S (2004) Comparative injury risk analysis of building trades, Unpublished PhD Thesis, , Wayne State University.
Cakan, H (2012) Analysis and modeling of roofer and steel worker fall accidents, Unpublished PhD Thesis, , Wayne State University.
- Type: Thesis
- Keywords: injury; nD modeling; safety; training; construction worker; roofer
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/1032963212
- Abstract:
There are more than nine million construction workers in the US. Roofers and steel workers are the highest risk construction trades according to BLS, and fall from elevation accounts for a large percentage of fatalities and injuries among the construction trades. In this study, 2114 OSHA accident case reports involving roofers and steel workers were reviewed to identify and analyze the factors contributing to construction fall accidents. Using data for the years between 1994 and 2008, the relationships between these factors were determined and further studied to develop predictive models. Univariate frequency, cross tabulation and logistic regression analyses were used to estimate the effect of the statistically significant factors on the degree of injury (fatality vs. nonfatality). Chi square tests on the entire data showed that there is a significant relationship between the degree of injury and union status, SIC code, construction operation prompting fall, environmental factor, human factor, project type, construction end use, safety protective system provision, safety protective system usage, fall distance, and fatality/injury cause. Logistic regression model created for the combined SIC Codes of 1761 and 1791 showed that among the six independent dichotomous variables only four were significantly associated with the degree of injury. These factors were project type, SIC code, safety training and safety protection system usage. Two separate logistic regression models, one for roofers and another for steel workers were also developed. The roofers' model showed that among the five independent categorical dichotomous variables only three showed significant association with injury severity. These were project type, safety training, and safety protection system usage. The steel worker model showed that only two independent variables had significant association with the degree of injury, and they were union status and project type. The study showed that cross tabulation analysis and logistic regression modeling can be used for analyzing data on construction fall accidents in a meaningful way, producing useful results.
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.
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.