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Al-Qalyuby, H A (2005) Inductive learning methodology using OSHA construction accident and citation data, Unpublished PhD Thesis, , Wayne State University.
- Type: Thesis
- Keywords: learning; safety; probability
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/305382429
- Abstract:
This research idea started with the simple concept that there are causal factors, if present together, leading to a high probability of a construction accident. To explore and define those factors we solicited accident information through several sources. All of these sources did not provide us with adequate encoded data that we could work with. However, detailed accident investigation reports and their associated citations had been published by OSHA over its website and were available. These reports have provided us with a comprehensive set of data that we can organize and manipulate. Out of these data mine, relevant factors were extracted and processed to obtain the information that contributed to this research. A simple relational database that can organize, control, process, and more importantly, update data, was created using the Microsoft Office Excel program. A systematic process was used in this research to eliminate the superfluous data and to identify mutually exclusive independent variables to arrive at an overall the data set. The refinement process allowed us to focus on critical and effective variables, and to build and explore the relationship among the variables. Data was grouped and sorted out. Values of each variable were identified and their frequency occurrence was counted. Simple analytical tools were utilized to achieve inductive learning to explore the relationships among accident and citation variables levels, either separate or combined. These analytical tools used were: (1) Frequency analysis (bar chart, pie chart) and probability and frequency-based techniques; (2) Simple counting and utilization of mode-based relationships; and (3) Probabilistic relationships (probability of joint occurrences) to explore relationships between variables. Certain relationships emerged out of this research that will enhance the safety practices and awareness in the construction industry, pinpointing those causal factors in order to eliminate them or at least to pay more attention to their presence. In conclusion this research introduced a new methodology to study and understand construction accidents. In an industry that is characterized by a high accident rate and poor safety practices, this study will pave the road for further studies with more accurate results that will enhance safety records of the construction industry.
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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.
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.