Subprasom, K (2004) Multi-party and multi-objective network design analysis for the build-operate-transfer scheme. PhD thesis, Utah State University, USA.
Abstract
The build-operate-transfer (BOT) approach is one of the privatization mechanisms for promoting transportation infrastructure development by using private funds to undertake new infrastructure facility. There are many factors affecting the achievement of the BOT project. Two of these factors are the selection of toll charge and roadway capacity of the BOT project and the evaluation of the relevant benefits to the private sectors, government, and road users. In this dissertation, the optimal selection of both toll level and road capacity is formulated as a stochastic bi-level mathematical program with uncertain demand. The upper level is to maximize the objective for different parties' viewpoints, and the lower level describes route choice behavior of road users. A simulation-based genetic algorithm (SGA) procedure is used to solve the stochastic bi-level BOT network design model. Since the stochastic simulation is embedded in the optimization process, probabilistic risk analysis of the project performances of the different perspectives can be assessed. In addition, the BOT model is also extended to consider multi-class users in terms of the income levels with the spatial equity issue. Modeling a multi-objective BOT network design problem is another task of this dissertation. Several multi-objective models are investigated: mean-variance BOT models, a stochastic profit-social welfare tradeoff model, and a three-objective optimization model. The simulation-based multi-objective genetic algorithm (SMOGA) procedure is used to generate a set of Pareto solutions that allow the decision makers to assess the tradeoff among different objectives of the design scheme. With a clear output in the form of the real tradeoffs, the decision makers can communicate easily with the involved parties on the issue of the conflict among the different requirements. Finally, the developed BOT network design model is applied to the real case study.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Chen, A |
| Uncontrolled Keywords: | optimization; private sector; build-operate-transfer; government; privatization; risk analysis; project performance; risk analysis; simulation |
| Index terms: | variance, case study, private sector, transportation infrastructure, income, build-operate-transfer, project performance, privatization, modelling, dissertation, genetic algorithm, design model, toll, tradeoff, profit, program, design analysis, risk analysis |
| Subjects: | design process, project management theory and practice, algorithms, software systems, infrastructure and transport systems, industry analysis, environmental hazards, transportation engineering, measurement and scaling, decision analysis, research dissemination and communication, data collection methods, contractual arrangements, analytical methods, economic analysis, design analysis |
| Topics: | Risk Management, Sustainability, Procurement, Engineering Principles, Project Management, Digital Applications, Design Practice, Business Strategy, Research Practice |
| Descriptive scope: | 4 PCEA |
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