scholarly journals Two-Staged Early Cost Estimation for Highway Construction Projects

Author(s):  
Du Yon Kim ◽  
Byoungil Kim ◽  
Seung Heon Han
DYNA ◽  
2015 ◽  
Vol 82 (193) ◽  
pp. 155-164
Author(s):  
Hernán Darío Gómez ◽  
Armando Orobio

Time and cost overruns in highway construction are usual in Colombia. Contractors regularly fail in cost estimation and construction scheduling. An analysis of important factors on time and cost overruns in highway construction in southwest Colombia is presented in this paper. Forty highway construction projects were reviewed. Data from construction documents were collected to prepare a data base for probabilistic analysis. Data collected include scheduled construction time and cost, actual construction time and cost, and unexpected events which could have affected the construction process. Data were used in a probabilistic cost and schedule risk analysis to identify critical factors in construction time and cost overruns in the region. It was found that the activities that most affect the time and cost overruns are the construction of the granular base and the asphalt layer. The most common causes of construction overruns were found to be poor cost and duration estimates, rain, and materials supply problems.


2018 ◽  
Vol 162 ◽  
pp. 02035
Author(s):  
Bevian I. Al Hadithi

The highways sector is a prominent sector in any country’s economy because of its impact on the well-being and safety of its citizens. The transport sector has an impact on social improvement and investment in the nation on the illustration that allows access to markets, production, jobs, health and other social services.This study investigates the causes of delay of highway construction projects in Iraq, which is frequent occurrence. Data was collected using questionnaires which were distributed to the key project participants; contractors, owners and consultants. The data were analyzed using the Frequency index and Spearman‟s rank correlation. The top seven causes of project delays were observed to be political decisions and political realities, the economic crisis of the country, delays in materials test of and obtaining the results, delay in monthly payments of contractor, failure treatment of the delays when implementing the project, the effects of weather, rain and high temperatures, delay in activities during implementation. It is recommended to establish an appropriate number of laboratories and adopt the field laboratory mechanism for the external and remote screens. Owners should give special attention to pay progress payment to contractors on time. The competent contractor who has prior experience in implementing the high projects should be selected. The contractor must take into consideration the weather conditions when preparing the time plan necessary to implement the project. The project management should identify these reasons and deal with them quickly in order to reduce the total delay of the project.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yoonseok Shin

Among the recent data mining techniques available, the boosting approach has attracted a great deal of attention because of its effective learning algorithm and strong boundaries in terms of its generalization performance. However, the boosting approach has yet to be used in regression problems within the construction domain, including cost estimations, but has been actively utilized in other domains. Therefore, a boosting regression tree (BRT) is applied to cost estimations at the early stage of a construction project to examine the applicability of the boosting approach to a regression problem within the construction domain. To evaluate the performance of the BRT model, its performance was compared with that of a neural network (NN) model, which has been proven to have a high performance in cost estimation domains. The BRT model has shown results similar to those of NN model using 234 actual cost datasets of a building construction project. In addition, the BRT model can provide additional information such as the importance plot and structure model, which can support estimators in comprehending the decision making process. Consequently, the boosting approach has potential applicability in preliminary cost estimations in a building construction project.


2007 ◽  
Vol 42 (3) ◽  
pp. 545-563 ◽  
Author(s):  
Konstantina Gkritza ◽  
Kumares C. Sinha ◽  
Samuel Labi ◽  
Fred L. Mannering

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