CAREER: Optimizing the Selection of Added Capacity Trans- portation Infrastructure Improvements

事业：优化增加容量的交通基础设施改进的选择

• 批准号: 9703319
• 负责人: Debbie Niemeier
• 金额: $ 27.45万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9703319&HistoricalAwards=false
• 关键词: CAREER; Optimizing; Selection; Added; Capacity

Abstract Proposal: CMS 97-03319 PI: Debbie A. Niemeier, U. California at Davis "Career: Optimizing the Selection of Added Capacity Transportation Infrastructure Improvements " The increasing complexity of transportation systems demands that engineers provide theoretical guidance on the issue of program-specific resource allocation. Program-specific models in use seek to optimize resources within an engineering-based funding category without linkage to other funding categories. This research will address this theoretical gap and will provide the necessary framework to optimize future infrastructure investments in such a way that the overall transportation system productivity, including both longevity and performance, is enhanced. Specific objectives of the workplan include to: 1) develop a new theoretical optimization model to dynamically allocate funds between transportation infrastructure programs; 2) specify and evaluate an empirical model for validation; 3) develop new performance measures that relate funding allocation to performance; and 4) develop new guidelines to better link infrastructure funding policies and system performance optimization. Educational opportunities will be enhanced by including opportunities for both graduate and undergraduate researchers, and by directly utilizing the results in undergraduate and graduate transportation courses. The new theoretical model will allow transportation agencies to work within a framework that optimizes total infrastructure performance. The theoretical and empirical models will be used to develop new policy guidelines for 1) assessing the amount of funding required to maintain a specified level of total system performance, 2) optimizing resource allocations among spending programs, and 3) to assist in the development of appropriate data bases to monitor long-term infrastructure performance. These results will play a crucial role in advancing the concept of evaluating and maintaining tota l infrastructure system productivity as opposed to concentrating on discrete infrastructure performance. ***

摘要提案：CMS 97-03319 PI：Debbie A. Niemeier，美国加州戴维斯分校“职业：优化增加容量运输基础设施改进的选择” 运输系统日益复杂，要求工程师提供有关程序问题的理论指导具体的资源分配。 正在使用的特定计划模型旨在优化基于工程的资助类别内的资源，而不与其他资助类别挂钩。 这项研究将解决这一理论差距，并将提供必要的框架来优化未来的基础设施投资，从而提高整体交通系统的生产力，包括寿命和性能。 该工作计划的具体目标包括：1）开发新的理论优化模型，在交通基础设施项目之间动态分配资金； 2）指定并评估用于验证的经验模型； 3）制定新的绩效衡量标准，将资金分配与绩效联系起来； 4）制定新的指导方针，更好地将基础设施融资政策与系统性能优化联系起来。通过为研究生和本科生研究人员提供机会，并直接利用本科生和研究生交通课程的成果，将增加教育机会。 新的理论模型将允许运输机构在优化总体基础设施性能的框架内开展工作。 理论和实证模型将用于制定新的政策指南，以实现以下目的：1）评估维持特定系统总体绩效水平所需的资金数额，2）优化支出计划之间的资源分配，以及3）协助制定适当的数据库来监测长期基础设施性能。 这些结果将在推进评估和维护整体基础设施系统生产力的概念方面发挥至关重要的作用，而不是专注于离散基础设施性能。 ***