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Arif, F (2013) A decision support framework for infrastructure maintenance investment decision-making, Unpublished PhD Thesis, , Florida International University.
Azhar, N (2014) Integrated construction project delivery system in the U.S. Public sector: An information modeling framework, Unpublished PhD Thesis, , Florida International University.
Farooqui, R U-H (2011) Achieving zero accidents: a strategic framework for continuous safety improvement in the construction industry, Unpublished PhD Thesis, , Florida International University.
Ibrahim, M (2016) Analyzing decision making in alternative contracting for highway pavement rehabilitation projects, Unpublished PhD Thesis, , Florida International University.
Inyim, P (2015) Time, cost, and environmental impact analysis for sustainable design at multiple building levels, Unpublished PhD Thesis, , Florida International University.
Jia, J (2017) Multi-criteria evaluation in support of the decision-making process in highway construction projects, Unpublished PhD Thesis, , Florida International University.
Ozcan-Deniz, G (2011) An integrated multi-agent framework for optimizing time, cost and environmental impact of construction processes, Unpublished PhD Thesis, , Florida International University.
Panthi, K (2009) A methodological framework for modeling pavement maintenance costs for projects with performance-based contracts, Unpublished PhD Thesis, , Florida International University.
Perkinson, C L (2008) The use of computing technology in highway construction contractor companies as a total jobsite management tool (TJMT), Unpublished PhD Thesis, , Florida International University.
Raihan, M A (2018) Improved methods for network screening and countermeasure selection for highway improvements, Unpublished PhD Thesis, , Florida International University.
Sheykhi, R (2016) Risk-based decision making support for construction corporate resource management, Unpublished PhD Thesis, , Florida International University.
Vesali Mahmoud, N (2016) A comprehensive decision support framework in the front-end phase of major transportation projects, Unpublished PhD Thesis, , Florida International University.
- Type: Thesis
- Keywords: complexity; decision support; project team; stakeholders; Canada; probability; case study; Monte Carlo simulation; simulation
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2014470924
- Abstract:
Identifying the best project alternative is a critical challenge facing major transportation projects (MTPs) at the front-end phase. The increasing complexity and dynamism of MTPs have imposed substantial uncertainties and subjectivities in the decision-making process. Despite the efforts made in previous studies, a stochastic framework to facilitate the comprehensive assessment is still missing. In this research, a stochastic decision support framework has been developed to cope with the considerable uncertainties in MTPs. The features of the proposed decision support framework are achieved by using the Bayesian belief network modeling technique to provide a comprehensive registry of the relevant decision factors, establish the interrelationships between these decision factors, and consequently quantify uncertainties of decision indicators. The calculated probabilities for decision indicators have been interpreted to a satisfaction level of stakeholders based on their constraints as a multi-criteria decision model. A Monte Carlo simulation has been conducted to simulate a real condition using the decision indicators probability as input. Finally, MTP alternatives prioritized according to the anticipated satisfactory gained among various stakeholders. The created framework is used in a preliminary alternative assessment for case study related to Detroit River International Crossing project. The case study investigates the decision-making of key stakeholders related to prioritization of alternative projects for a new access between Detroit, US and Winsdor, Canada. The project team verified applicability of the model. The developed framework and the case study highlight the significance of identification of a stochastic project alternative assessment method. The proposed framework provides decision-makers with a decision support tool to facilitate front-end phase of MTPs.
Zhu, J (2016) A system-of-systems framework for assessment of resilience in complex construction projects, Unpublished PhD Thesis, , Florida International University.