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Multi-party and multi-objective network design analysis for the build-operate-transfer scheme.

机译：构建-运营-转移方案的多方和多目标网络设计分析。

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摘要

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.
机译：建造－经营－转让（BOT）方法是通过使用私人资金承接新的基础设施来促进运输基础设施发展的私有化机制之一。有许多因素影响BOT项目的实现。其中两个因素是BOT项目收费和道路通行能力的选择，以及对私营部门，政府和道路使用者的相关利益的评估。本文将需求和道路通行能力的最优选择作为具有不确定需求的随机双层数学程序。上层是最大化各方观点的目标，下层是道路使用者的路线选择行为。基于仿真的遗传算法（SGA）过程用于解决随机双层BOT网络设计模型。由于随机模拟已嵌入优化过程中，因此可以评估不同角度的项目绩效的概率风险分析。此外，BOT模型还扩展为考虑收入水平和空间公平问题的多类用户。对多目标BOT网络设计问题进行建模是本论文的另一任务。研究了几种多目标模型：均方差BOT模型，随机利润-社会福利权衡模型和三目标优化模型。基于仿真的多目标遗传算法（SMOGA）程序用于生成一组Pareto解决方案，使决策者可以评估设计方案不同目标之间的权衡。有了真正折衷形式的清晰输出，决策者就可以轻松地与参与方就不同需求之间的冲突问题进行沟通。最后，将开发的BOT网络设计模型应用于实际案例研究。

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  • 作者

    Subprasom, Kitti.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Engineering Civil.; Transportation.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 277 p.
  • 总页数 277
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;综合运输;
  • 关键词

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