Abstracts – Browse Results
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Arif, F (2013) A decision support framework for infrastructure maintenance investment decision-making, Unpublished PhD Thesis, , Florida International University.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N (2014) Integrated construction project delivery system in the U.S. Public sector: An information modeling framework, Unpublished PhD Thesis, , Florida International University.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(2011) Achieving zero accidents: a strategic framework for continuous safety improvement in the construction industry, Unpublished PhD Thesis, , Florida International University.
Ibrahim, M (2016) Analyzing decision making in alternative contracting for highway pavement rehabilitation projects, Unpublished PhD Thesis, , Florida International University.
Inyim, P (2015) Time, cost, and environmental impact analysis for sustainable design at multiple building levels, Unpublished PhD Thesis, , Florida International University.
Jia, J (2017) Multi-criteria evaluation in support of the decision-making process in highway construction projects, Unpublished PhD Thesis, , Florida International University.
- Type: Thesis
- Keywords: liability; reliability; construction cost; construction project; highway; traffic; utilities; safety; simulation
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2017176108
- Abstract:
The decision-making process in highway construction projects identifies and selects the optimal alternative based on the user requirements and evaluation criteria. The current practice of the decision-making process does not consider all construction impacts in an integrated decision-making process. This dissertation developed a multi-criteria evaluation framework to support the decision-making process in highway construction projects. In addition to the construction cost and mobility impacts, reliability, safety, and emission impacts are assessed at different evaluation levels and used as inputs to the decision-making process. Two levels of analysis, referred to as the planning level and operation level, are proposed in this research to provide input to a Multi-Criteria Decision-Making (MCDM) process that considers user prioritization of the assessed criteria. The planning level analysis provides faster and less detailed assessments of the inputs to the MCDM utilizing analytical tools, mainly in a spreadsheet format. The second level of analysis produces more detailed inputs to the MCDM and utilizes a combination of mesoscopic simulation-based dynamic traffic assignment tool, and microscopic simulation tool, combined with other utilities. The outputs generated from the two levels of analysis are used as inputs to a decision-making process based on present worth analysis and the Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Situation) MCDM method and the results are compared.
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.
Zhu, J (2016) A system-of-systems framework for assessment of resilience in complex construction projects, Unpublished PhD Thesis, , Florida International University.