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Ababutain, A Y (2002) A multi-criteria decision-making model for selection of BOT toll road proposals within the public sector, Unpublished PhD Thesis, , University of Pittsburgh.
- Type: Thesis
- Keywords: government; private sector; build-operate-transfer; markets; privatization; regulation; selection criteria; market; uncertainty; analytical hierarchy process; case study
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/305488404
- Abstract:
In recent years, governments in many countries have begun privatizing infrastructure sectors. Some of the forces driving this movement have been a scarcity of public resources, an increase in the demand for services, a political trend toward the deregulation of infrastructure, and an expansion of global capital markets. The build-operate-transfer (BOT) approach has played a growing role in the implementation of infrastructure privatization. Due to the type, uncertainty, and high risk of BOT projects, the evaluation/selection process is a crucial part of a BOT project. To date, decision-makers within the public sector have lacked a set of complete selection criteria or a systematic process to help them make quality selections. The main objectives of this research are to understand the details of toll road projects in order to (1) identify the major criteria and variables related to toll roads, and (2) develop an integrated decision-making process model as a framework to help the public sector make quality decisions. The methodology of this research includes the development of a multi-criteria decision-making model based on the analytical hierarchy process (AHP) and validated by use of a California Department of Transportation (Caltrans) privatization program as a case study. The model makes the selection process clear and able to be traced back by all parties. Because of this, it will likely encourage the private sector to bid on BOT projects. This research developed a framework that will enable the public sector to make better decisions when selecting BOT toll road proposals and also save decision-makers time and effort.
Aktas, C B (2011) Impact of product lifetime on life cycle assessment results, Unpublished PhD Thesis, , University of Pittsburgh.
Aktas, E (2001) Structural design code calibration using reliability-based cost optimization, Unpublished PhD Thesis, , University of Pittsburgh.
Alkhathami, M M (2004) Examination of the correlation of critical success and delay factors in construction projects in the kingdom of Saudi Arabia, Unpublished PhD Thesis, , University of Pittsburgh.
Almazroa, D A (2003) Project delivery system decision framework using the weighting factors and analytic hierarchy process methods, Unpublished PhD Thesis, , University of Pittsburgh.
Amruthapuri, R S G R (2021) Partnership between diverse stakeholders: A potential solution to issues migrant construction workers face in Bengaluru, India, Unpublished PhD Thesis, , University of Pittsburgh.
Banawi, A A (2013) Improving construction processes by integrating lean, green, and six-sigma, Unpublished PhD Thesis, , University of Pittsburgh.
Bilec, M M (2007) A hybrid life cycle assessment model for construction processes, Unpublished PhD Thesis, , University of Pittsburgh.
Campion, N A (2015) Advancing life cycle assessment: Perspectives from the building and healthcare industries, Unpublished PhD Thesis, , University of Pittsburgh.
Hussain, M A D (2001) Value engineering expert system in suburban highway design (VEESSHD), Unpublished PhD Thesis, , University of Pittsburgh.
Kalainesan, S (2007) Best management practices for highway construction site sedimentation basins, Unpublished PhD Thesis, , University of Pittsburgh.
Osman, A E (2006) Life cycle optimization model for integrated cogeneration and energy systems applications in buildings, Unpublished PhD Thesis, , University of Pittsburgh.
Rajagopalan, N (2011) Residential life cycle assessment modeling for green buildings and building products, Unpublished PhD Thesis, , University of Pittsburgh.
Sanoubar, S (2022) Temporal and spatial considerations in maintenance planning, Unpublished PhD Thesis, , University of Pittsburgh.