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Highway Construction Data Collection and Treatment in Preparation for Statistical Regression Analysis

机译:公路建设数据收集与处理,为统计回归分析做准备

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Currently, there is not an understanding of the project factors having a statistically significant relationship with highway construction duration. Other industry sectors have successfully used statistical regression analysis to identify and model the project parameters related to construction duration. While the need is seen for such work in highway construction, there are very few studies which attempt to identify duration-influential parameters and their relationship with the highway construction duration. The purpose of this work is to describe the highway construction data needed for such a study, identify a data source, collect early-design project data, and prepare the data for statistical regression analysis. The Virginia Department of Transportation is identified as the optimal data source. The data collected include historical contract and project level parameters. To prepare for statistical regression analysis, the contract duration collected is converted to construction duration by a seasonal adjustment process which removes historically typical nonworking days.
机译:当前,尚不了解与公路建设工期在统计上有显着关系的项目因素。其他行业已经成功使用统计回归分析来识别和建模与工期有关的项目参数。尽管在公路建设中需要进行此类工作,但很少有研究试图确定工期影响参数及其与公路建设工期的关系。这项工作的目的是描述进行此项研究所需的高速公路建设数据,识别数据源,收集早期设计的项目数据以及为统计回归分析准备数据。弗吉尼亚运输部被确定为最佳数据源。收集的数据包括历史合同和项目级别参数。为了准备进行统计回归分析,通过季节性调整过程将收集的合同工期转换为施工工期,该过程会删除历史上典型的非工作日。

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