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Cost Overruns and Formal Risk Assessment Program in US Rail Transit Projects

机译:美国轨道交通项目的成本超支和正式风险评估计划

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Cost overrun in rail transit projects in the United States is a pervasive and constant phenomenon, yet there has been a lack of rigorous statistical analysis on project costs. This has been partly due to the difficulty of obtaining reliable cost data and the small size of the sample. In addition, the Federal Transit Administration (FTA) has required formal risk assessment on transit projects since 2003. Whether this strategy has improved the accuracy of cost estimates is not known. To fill these gaps, this study has collected the cost data of 81 US rail transit projects built during the last 40 years, the largest sample of its kind. It is found that the accuracy of cost estimates at the decision-making phase has improved over time. Also, major projects have higher percentage cost overruns than smaller projects. Further, the accuracy of cost estimates decrease as project implementation durations increase. The utilized statistical methods yielded no evidence to suggest that cost overruns differ between projects designed before and after 2003, when the FTA risk assessment program started. However, since project size and implementation duration have increased over time, the positive impact of the FTA risk assessment program can be inferred and acknowledged to some extent. This research can serve as a reference point for studies on the accuracy of conceptual cost estimates and help in budgeting future projects. It can also help in understanding the causes of cost overruns in capital projects.
机译:在美国,铁路运输项目中的成本超支现象是普遍且持续的现象,但一直缺乏对项目成本的严格统计分析。这部分是由于难以获得可靠的成本数据和样本量小。此外,自2003年以来,联邦运输管理局(FTA)要求对运输项目进行正式的风险评估。尚不清楚该策略是否提高了成本估算的准确性。为了填补这些空白,本研究收集了过去40年中建立的81个美国铁路运输项目的成本数据,这是同类项目中最大的样本。可以发现,随着时间的推移,决策阶段成本估算的准确性有所提高。而且,大型项目比小型项目具有更高的百分比成本超支。此外,随着项目实施时间的增加,成本估算的准确性也会降低。使用的统计方法没有证据表明2003年之前和之后FTA风险评估计划开始时设计的项目之间的成本超支有所不同。但是,由于项目规模和实施期限随着时间的推移而增加,因此可以推断并认可FTA风险评估计划的积极影响。这项研究可以作为概念性成本估算准确性研究的参考,并有助于对未来项目进行预算。它还可以帮助您了解资本项目中成本超支的原因。

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