Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 13 results ...

Arif, F (2013) A decision support framework for infrastructure maintenance investment decision-making, Unpublished PhD Thesis, , Florida International University.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N (2014) Integrated construction project delivery system in the U.S. Public sector: An information modeling framework, Unpublished PhD Thesis, , Florida International University.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(2011) Achieving zero accidents: a strategic framework for continuous safety improvement in the construction industry, Unpublished PhD Thesis, , Florida International University.

Ibrahim, M (2016) Analyzing decision making in alternative contracting for highway pavement rehabilitation projects, Unpublished PhD Thesis, , Florida International University.

Inyim, P (2015) Time, cost, and environmental impact analysis for sustainable design at multiple building levels, Unpublished PhD Thesis, , Florida International University.

Jia, J (2017) Multi-criteria evaluation in support of the decision-making process in highway construction projects, Unpublished PhD Thesis, , Florida International University.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An integrated multi-agent framework for optimizing time, cost and environmental impact of construction processes, Unpublished PhD Thesis, , Florida International University.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A methodological framework for modeling pavement maintenance costs for projects with performance-based contracts, Unpublished PhD Thesis, , Florida International University.

  • Type: Thesis
  • Keywords: complexity; failure; highway; pavement; budgeting; deterioration; estimating; maintenance contract; payment; performance-based contract; case study
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/305132345
  • Abstract:
    Performance-based maintenance contracts differ significantly from material and method-based contracts that have been traditionally used to maintain roads. Road agencies around the world have moved towards a performance-based contract approach because it offers several advantages like cost saving, better budgeting certainty, better customer satisfaction with better road services and conditions. Payments for the maintenance of road are explicitly linked to the contractor successfully meeting certain clearly defined minimum performance indicators in these contracts. Quantitative evaluation of the cost of performance-based contracts has several difficulties due to the complexity of the pavement deterioration process. Based on a probabilistic analysis of failures of achieving multiple performance criteria over the length of the contract period, an effort has been made to develop a model that is capable of estimating the cost of these performance-based contracts. One of the essential functions of such model is to predict performance of the pavement as accurately as possible. Prediction of future degradation of pavement is done using Markov Chain Process, which requires estimating transition probabilities from previous deterioration rate for similar pavements. Transition probabilities were derived using historical pavement condition rating data, both for predicting pavement deterioration when there is no maintenance, and for predicting pavement improvement when maintenance activities are performed. A methodological framework has been developed to estimate the cost of maintaining road based on multiple performance criteria such as crack, rut and, roughness. The application of the developed model has been demonstrated via a real case study of Miami Dade Expressways (MDX) using pavement condition rating data from Florida Department of Transportation (FDOT) for a typical performance-based asphalt pavement maintenance contract. Results indicated that the pavement performance model developed could predict the pavement deterioration quite accurately. Sensitivity analysis performed shows that the model is very responsive to even slight changes in pavement deterioration rate and performance constraints. It is expected that the use of this model will assist the highway agencies and contractors in arriving at a fair contract value for executing long term performance-based pavement maintenance works.

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.