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Multi-parameter bidding in highway construction and rehabilitation projects.

机译:公路建设和修复项目中的多参数招标。

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摘要

According to the 2013 ASCE infrastructure report card, roads have been given a grade of D. In addition, the level of federal, state, and local capital investment is insufficient and projected to result in a farther decline in conditions and performance in the long term. Poor highway conditions have caused transportation agencies to shift their focus from expanding road networks to rehabilitation of their existing infrastructures. In response to increasing road user costs caused by rehabilitation or reconstruction projects and limited resources due to insufficient capital investments, State Highway Agencies (SHAs) have started to utilize innovative contracting methods by incorporating construction time and life-cycle cost into the bidding process. In multi-parameter bidding method, a combination of price, construction time, and life-cycle cost is considered the decisive factor in awarding a contract to the successful bidder. The purpose of these bidding methods is to obtain accelerated construction at the lowest possible cost in order to minimize inconvenience to the public. However, unlike conventional bidding, SHAs are required to determine the Unit Time Value (incentive/disincentive rate) and life-cycle cost parameters before the bid process.;This study focuses on the impact of different Unit Time Values on the competitiveness of contractors in the A+B bidding process. A new criterion is introduced to assist SHAs to determine an optimal Unit Time Value to maximize the competition during the bid process. To assist SHAs in determining the value of the life-cycle cost factor, an association analysis method in data mining is applied to historical pavement treatment datasets in order to identify the sequential patterns of various maintenance and rehabilitation activities. Since the newly developed life-cycle cost analysis models are based on the actual treatment strategies, it is expected that the life-cycle cost factor determined by this model is more realistic and closer to actual costs than that of the traditional approach suggested by the Federal Highway Administration. The results of this research will facilitate collaboration among different parties in highway construction contracts. It will advance Integrated Project Delivery (IPD) methods which are a collaborative alliance between SHAs and contractors.
机译:根据2013年ASCE基础设施报告卡,道路的等级为D级。此外,联邦,州和地方的资本投资水平不足,从长期来看,预计还会导致条件和性能进一步下降。恶劣的高速公路条件导致运输机构将重点从扩大道路网络转移到恢复现有基础设施。为了应对由于修复或重建项目而导致的道路使用者成本增加以及由于资本投资不足而造成的资源有限,国家公路局(SHA)已开始通过将施工时间和生命周期成本纳入招标过程来利用创新的承包方法。在多参数投标方法中,价格,施工时间和生命周期成本的组合被认为是将合同授予中标人的决定性因素。这些招标方法的目的是以尽可能最低的成本获得加速施工,以最大程度地减少对公众的不便。但是,与常规招标不同,SHA需要在招标过程之前确定单位时间价值(激励/抑制率)和生命周期成本参数。本研究着眼于不同单位时间价值对承包商的竞争力的影响。 A + B竞标过程。引入了新的标准来帮助SHA确定最佳单位时间值,以使投标过程中的竞争最大化。为了帮助SHA确定生命周期成本因子的值,将数据挖掘中的关联分析方法应用于历史路面处理数据集,以识别各种维护和修复活动的顺序模式。由于新开发的生命周期成本分析模型基于实际的治疗策略,因此与联邦政府建议的传统方法相比,预期该模型确定的生命周期成本因子更加现实,并且更接近于实际成本。公路管理局。这项研究的结果将促进公路建设合同中各方之间的合作。它将推进综合项目交付(IPD)方法,这是SHA与承包商之间的合作联盟。

著录项

  • 作者

    Abdollahipour, Saeed.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 242 p.
  • 总页数 242
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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