Abstracts – Browse Results
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Al-Qalyuby, H A (2005) Inductive learning methodology using OSHA construction accident and citation data, Unpublished PhD Thesis, , Wayne State University.
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A S (2013) Development and implementation of a proactive safety performance evaluation system for general contractors, Unpublished PhD Thesis, , Wayne State University.
Alzeraa, A (2018) Impact of project communications effectiveness on construction disputes, Unpublished PhD Thesis, , Wayne State University.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(1991) Concept evaluation in structural design utilizing multiattribute utility theory and a knowledge-based approach, Unpublished PhD Thesis, , Wayne State University.
Atin, A (2016) Project risk propagation modeling of engineering, procurement and construction, Unpublished PhD Thesis, , Wayne State University.
Baradan, S (2004) Comparative injury risk analysis of building trades, Unpublished PhD Thesis, , Wayne State University.
Cakan, H (2012) Analysis and modeling of roofer and steel worker fall accidents, Unpublished PhD Thesis, , Wayne State University.
Elkhatib, M M (1995) Developing an integrated highway information system for safety management using gis, Unpublished PhD Thesis, , Wayne State University.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E E (2013) Analysis of fatal and nonfatal accidents involving earthmoving equipment operators and on-foot workers, Unpublished PhD Thesis, , Wayne State University.
Koehn, E (1975) Probabilistic system for project management, Unpublished PhD Thesis, , Wayne State University.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Analysis of factors influencing return on investment (ROI) for building information modeling (BIM) implementation, Unpublished PhD Thesis, , Wayne State University.
Mishra, S (2009) Transportation infrastructure investment decision making under uncertainty and risk, Unpublished PhD Thesis, , Wayne State University.
- Type: Thesis
- Keywords: optimization; ownership; private sector; uncertainty; decision making; governance; policy; programming; public sector; Canada; risk analysis; analytic hierarchy process; Monte Carlo simulation; questionnaire survey; investment; owner
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/305019264
- Abstract:
Investment in new transportation infrastructure is capital-intensive and irreversible in nature. Uncertainty and risk are two inherent problems associated with such investments, and must be analyzed prudently. Though these two terms are often used interchangeably, their implications from investment viewpoint are somewhat different. While uncertainties stem from lack of knowledge about the state of future affairs, risks are associated with some understanding of the likelihood of the future outcomes. Private sector participation in infrastructure investment has gained popularity in recent times because of scarcity of resources at the public sector, and because of the ability of the private sector to build, operate, maintain such facilities, and share future risk. Transportation infrastructures investment is of interest to three principal entities: (1) the private, (2) the public, and (3) the user, each having a different set of objectives/expectations. It is imperative to determine the economic viability of the investment from single and multiple entity perspective. A bi-level programming is proposed to address uncertainty in decision making for these entities. At the upper level, the objective of each entity is optimized while at the lower level, optimal demand is obtained by elastic traffic assignment. Randomness in travel demand reflects uncertainty and used in the elastic traffic assignment procedure. The bi-level process results in the feasibility of each single entity perspective. A set of relaxation policies is proposed to form Ownership, Tenure, and Governance (OTG) strategies reflecting the nature and level of participation of the three entities. The uncertainty analysis output serves as input to the risk analysis. Monte Carlo Simulation is used to address risks for feasible policy options selected from uncertainty analysis. The concept of Value at Risk (VaR) is used to quantify risk. A methodology is proposed to integrate uncertainty and risk. Finally, a multi-objective optimization (MOO) reflecting the perspectives of all three entities are proposed. MOO resulted in pareto optimal solutions to serve as tradeoff between the participation levels of the multiple entities. To obtain the relative importance of each entity within an OTG strategy, a questionnaire survey was conducted among knowledgeable transportation professionals in the states of Michigan and Ohio. Analytic Hierarchy Process (AHP) is used as a tool to determine the relative importance of entities obtained from survey responses. AHP and MOO are integrated to determine the feasibility of OTG strategies from multi entity perspectives. The framework is tested on the proposed multibillion dollar international river crossing connecting the city of Detroit in the U.S. and the city of Windsor in Canada. The combination of both uncertainty and risk reveals insights to the probable outcomes for a transportation infrastructure investment. This methodology can be used as a tool for transportation infrastructure investment decision making process.
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.