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Chen, Y-K (1991) An analysis of decision strategy as applied to construction portfolios, Unpublished PhD Thesis, , Stevens Institute of Technology.
El-Choum, M K (1994) Identification and modelling of construction cost overruns parameters for public infrastructure projects using multivariate statistical methods, Unpublished PhD Thesis, , Stevens Institute of Technology.
- Type: Thesis
- Keywords: uncertainty; construction cost; infrastructure project; nD modeling; public infrastructure; rehabilitation; urban infrastructure
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/304163970
- Abstract:
The primary objective of this dissertation was to identify the factors that influence construction cost overruns, and to provide a conceptual and analytical framework to overcome uncertainties and shortcomings of current practices. The uncertainty in construction becomes more evident in dealing with aging infrastructure. Construction processes are heterogeneous in nature, and therefore, it is imperative to employ models that explain the variability of the construction cost overruns. A major hurdle in urban infrastructure rehabilitation projects, is that each project is unique with respect to its environment. Accordingly, the shortage of federal funds for Capital Projects, and the demand for capital spending on the aging infrastructure reflect the need for such models. Therefore, this research investigation is focused on the identification and modeling of construction cost overruns, with particular interest in public infrastructure projects. Most significantly, this thesis presents a list of the most significant causes of construction cost overruns on recent infrastructure rehabilitation projects; along with the listing of a composite input from the author and the survey responses on recommended measures needed to overcome construction cost overruns. Furthermore, the modeling technique involves the use of multivariate statistical method. The developed models were evaluated to determine their ability to represent actual conditions, and to explain the variability of the construction cost overruns on the basis of predefined parameter using data-splitting method. The key feature of this investigation is a quantitative tool aimed at helping decision-makers to ultimately manage situation subject to uncertainty, and subsequently reducing construction cost overruns. The derived models also provide a conceptual framework for understanding the public construction industry as a whole.
Gao, T (2014) Dynamic approach to stakeholder theory for temporary organizations, Unpublished PhD Thesis, , Stevens Institute of Technology.
Mayo, R E (1992) Improved optimum bid markup estimation through work load related bid distribution functions, Unpublished PhD Thesis, , Stevens Institute of Technology.
Morkan, B (2020) Unexpected events in mega construction projects: Responding to unexpected events through multi-stakeholder strategies, Unpublished PhD Thesis, , Stevens Institute of Technology.