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Analysis of Highway Construction Project Time Overruns Using Survey Approach

机译：使用调查方法分析公路建设项目时间超支

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摘要

A higher number of highway construction projects are experiencing delays in their scheduled completion time, and thissituation, in turn, leads to overrun in the schedule as well as cost. This paper mainly categorizes the causes of time overrunand provides a mathematical model for predicting the time overrun percentage, using highway projects in Northern India as acase study. A survey of randomly selected samples yielded responses from 72 contractors and 44 clients. The study dependson forty-eight factors that influence schedule delays in highway projects. Based upon the average medium fuzzy influencingvalue and the respective frequency index value, the time overrun causing factors were ranked and categorized under differenttime overrun risk categories, namely red zone, yellow zone, and green zone. The analysis of the received responses indicatescomplications in the land acquisition process, utility shifting, constructability under traffic, lack of project planning and designchanges were the top five most critical time overrun causing factors in highway projects. The medium fuzzy influencing valueand the frequency index value for these five factors were above 18% and 80%, respectively. These factors lie under the redzone and need close attention. Factor such as opposing the projects by locals also gained much importance in this study ascompared to previous studies as it lies under the red zone. The prediction model developed through the application of multipleregression analysis can explain 71.9% of the variability in the data, which is an excellent indicator of the model’s expectedperformance.
机译：较数较多数量的公路建设项目正在经历其预定的完井时间延迟，这反过来，情况又导致计划中的超支以及成本。本文主要分类时间超支的原因并提供了一种用于预测时间超额百分比的数学模型，使用北部北部的高速公路项目作为一个案例分析。对随机选择的样品的调查产生了72个承包商和44名客户的反应。研究取决于论高速公路项目中延误的四十八因素。基于平均媒体模糊影响值和相应的频率指标值，在不同的情况下排名和分类导致因子的时间时间超额风险类别，即红色区域，黄色区域和绿区。对所接收的反应的分析表明土地征收过程中的并发症，公用事业转移，交通的结构，缺乏项目规划和设计变化是公路项目中最关键的最关键时间造成因素。媒体模糊影响值这五种因素的频率指标值分别高于18％和80％。这些因素躺在红色下区域并需要密切关注。反对当地人的项目等因素也在这项研究中获得了很多重要的因素与之前的研究相比，它在红色区域下方。通过多个应用开发的预测模型回归分析可以解释数据中的71.9％的可变性，这是模型的最佳指标表现。

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