Abstracts – Browse Results
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Abraham, D M (1990) A state-based framework using indicators for construction monitoring and evaluation, Unpublished PhD Thesis, , University of Maryland, College Park.
Ahrari, A (2012) A decision support system for dynamic integrated project scheduling and equipment operation planning, Unpublished PhD Thesis, , University of Maryland, College Park.
Akar, G (2009) Analysis of activity choice: The role of activity attributes and individual schedules, Unpublished PhD Thesis, , University of Maryland, College Park.
Al-Fadhala, M M (2002) Uncertainty-based condition assessment of existing concrete structures, Unpublished PhD Thesis, , University of Maryland, College Park.
Al-Wazeer, A A-R (2007) Risk-based bridge maintenance strategies, Unpublished PhD Thesis, , University of Maryland, College Park.
Avetisyan, H G (2013) Sustainable infrastructure modeling and policy analyses: Construction, energy and transportation industries, Unpublished PhD Thesis, , University of Maryland, College Park.
Bai, L (2013) RFID sensor-driven structural condition monitoring in integrated building information modeling environment, Unpublished PhD Thesis, , University of Maryland, College Park.
Bender, W J (2000) A risk-based cost control methodology for constructing complex structures with the mobile offshore base as a case study, Unpublished PhD Thesis, , University of Maryland, College Park.
Chelson, D E (2010) The effects of building information modeling on construction site productivity, Unpublished PhD Thesis, , University of Maryland, College Park.
Chen, C-H (2003) Integrated management of highway maintenance and traffic, Unpublished PhD Thesis, , University of Maryland, College Park.
Cheung, M (2017) The antecedents of safety leadership, Unpublished PhD Thesis, , University of Maryland, College Park.
Chung, B (2007) An analysis of success and failure factors for ERP systems in engineering and construction firms, Unpublished PhD Thesis, , University of Maryland, College Park.
Ding, Q (2018) Using social media to evaluate public acceptance of infrastructure projects, Unpublished PhD Thesis, , University of Maryland, College Park.
Eldukair, Z A R (1988) Safety assessment and optimization of construction operations based on fuzzy sets, Unpublished PhD Thesis, , University of Maryland, College Park.
Erfani, A (2023) Data-driven risk modeling for infrastructure projects using artificial intelligence techniques, Unpublished PhD Thesis, , University of Maryland, College Park.
Hao, J X (2007) Infrastructure investment and economic development, Unpublished PhD Thesis, , University of Maryland, College Park.
Hickey, P J (2023) A study of gender diversity in u.S. Architecture, engineering, and construction (AEC) industry leadership, Unpublished PhD Thesis, , University of Maryland, College Park.
Hsu, S-C (2013) A complexity-based approach to intra-organizational team selection, Unpublished PhD Thesis, , University of Maryland, College Park.
Hu, M (2022) Influence of project design team characteristics on construction cost of sustainable buildings, Unpublished PhD Thesis, , University of Maryland, College Park.
Ingraham, A T (2001) Bidder-auctioneer cheating in sealed-bid auctions, Unpublished PhD Thesis, , University of Maryland, College Park.
Jang, W S (2007) Embedded system for construction material tracking using combination of radio frequency and ultrasound signal, Unpublished PhD Thesis, , University of Maryland, College Park.
Karimi, S (2021) A systematic methodology for evaluating and balancing acceptance risks with pay factors for highway construction materials, Unpublished PhD Thesis, , University of Maryland, College Park.
Lessani, A (2016) Decision analysis in construction claims, Unpublished PhD Thesis, , University of Maryland, College Park.
Lu, R (2010) Impacts of local item dependence of testlet items with the multistage tests for pass-fail decisions, Unpublished PhD Thesis, , University of Maryland, College Park.
McCahill, D F (1990) A practical model for simulation of earthwork construction, with applications for scheduling, Unpublished PhD Thesis, , University of Maryland, College Park.
Mohieldin, Y A (1989) Analysis of construction processes with nonstationary work task durations, Unpublished PhD Thesis, , University of Maryland, College Park.
Moore, W B (1989) Modeling the impact of large construction projects on surrounding communities, Unpublished PhD Thesis, , University of Maryland, College Park.
Neely, L E (2017) Project scheduling disputes: Expert characterization and estimate aggregation, Unpublished PhD Thesis, , University of Maryland, College Park.
Negahban, S (2008) Utilization of enterprise resource planning tools by small to medium size construction organizations: A decision-making model, Unpublished PhD Thesis, , University of Maryland, College Park.
Nyakaana Blair, A M A (1999) Risk analysis of cost and schedule of complex engineering systems, Unpublished PhD Thesis, , University of Maryland, College Park.
Ordonez Arizaga, J F (2007) A methodology for project risk analysis using Bayesian belief networks within a Monte Carlo simulation environment, Unpublished PhD Thesis, , University of Maryland, College Park.
Owoyemi, J A (2018) Performance evaluation of higway transportation design-build project delivery: A case study, Unpublished PhD Thesis, , University of Maryland, College Park.
Parvan, K (2012) Estimating the impact of building information modeling (BIM) utilization on building project performance, Unpublished PhD Thesis, , University of Maryland, College Park.
Quadri, H A (2019) Value engineering decisioneering: A risk management tool in the project management office- case study of electricity distribution companies in Nigeria, Unpublished PhD Thesis, , University of Maryland, College Park.
Salgado, C A (2005) Construction project organizational structuring, Unpublished PhD Thesis, , University of Maryland, College Park.
Shafahi, A (2016) Mathematical model and framework for multi-phase project optimization, Unpublished PhD Thesis, , University of Maryland, College Park.
Sharma, D K (2012) Design of availabilty payment mechanism for public private partnerships, Unpublished PhD Thesis, , University of Maryland, College Park.
Sundararajan, S K (2004) Project performance-based optimal capital structure for privately financed infrastructure projects, Unpublished PhD Thesis, , University of Maryland, College Park.
- Type: Thesis
- Keywords: measurement; uncertainty; government; infrastructure project; investment; project performance
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/305174019
- Abstract:
Privately Financed Infrastructure (PFI) projects are characterized by huge and irreversible investments and are faced with various risks. Project performance risks, such as project completion time and costs, affect the project value significantly, particularly in project development phase. This is because a major part of the project investments is made during this phase. Due to high uncertainties in managing the project performance risks, the selection of optimal financial structure is a challenge to Project Company sponsors and Lenders. Conventional project performance measurement and valuation methods cannot capture the dynamics of risk variables and their impact on the project value. Without such dynamic performance information, the decision of capital structure may not only be suboptimal, but lead to erroneous results. This research proposes an uncertainty evolution model, with which the dynamics of the project performance risk variables can be predicted at any desired time over the project development phase. A dynamic capital structure model is proposed that explicitly considers the performance risks and adjusts the capital structure dynamically to counter the impact of performance risks. Numerical results show that such a model can add a significant value to a PFI project. Two risk-sharing mechanisms are incorporated in the capital structure for a PFI project: active project management (self-support) and government support. An active project management method called dynamic crashing is proposed. By dynamically controlling the project performance through dynamic crashing, we show that the project value can be unproved and the chances of potential bankruptcies can be reduced. In addition, the significance of government support as a risk-sharing mechanism is also modeled, which may be viewed as another means to protect the Project Company against the potential bankruptcies and improves the project value. Numerical results are implemented to validate the models. Overall, this research contributes an integrated framework to capital structure decisions for projects with performance uncertainties.
Tatari, M O (2009) Empirical analysis of construction enterprise information systems: Assessing the critical factors and benefits, Unpublished PhD Thesis, , University of Maryland, College Park.
Vecino, G A (2016) The feasibility of using web-based technology for the management of dredging projects, Unpublished PhD Thesis, , University of Maryland, College Park.
Yang, N (2010) Optimization of highway work zone decisions considering short-term and long-term impacts, Unpublished PhD Thesis, , University of Maryland, College Park.
Zeng, Y (2010) Risk management for enterprise resource planning system implementations in project-based firms, Unpublished PhD Thesis, , University of Maryland, College Park.
Zhao, Y (2023) Sustainability, acceptance risk analysis and machine learning in assessing mechanical properties and the impact of highway materials in transportation infrastructure, Unpublished PhD Thesis, , University of Maryland, College Park.