Factors affecting the accuracy of cost estimate during various design stages

The purpose of this paper is to identify factors affecting cost estimate accuracy in each of five design stages preceding building construction: order of magnitude, conceptual/schematic, detailed design, construction document and bid phase.,Data were collected using an online survey completed by 138 respondents who work in design consultancy firms in Jordan, including project managers, architects and quantity surveyors (QSs). Survey responses were analyzed using descriptive statistics. Confirmatory interviews and case study comparisons were used to confirm the statistical analysis results.,The results of this study indicated that each design stage’s cost estimate was affected by several factors. Two significant factors were common across four of the five design stages: client experience and project team experience. In addition, a high level of agreement was observed among the project managers, architects and QSs regarding the factors affecting cost estimate accuracy.,Accurately estimating building construction costs during the design process has posed a challenge for designers and their clients in Jordan. Despite the care and effort involved in preparing cost estimates in each of the five design stages, deviations are commonly observed. Because the accuracy of building construction cost estimates directly affect the success or failure of a project, the results of this study can be used to reduce uncertainties in building construction cost estimation and subsequently increase the likelihood of project success

[1]  Suzanne Wilkinson,et al.  Risk impact assessments in project budget development: architects’ perspectives , 2016 .

[2]  H. Murat Gunaydin,et al.  A neural network approach for early cost estimation of structural systems of buildings , 2004 .

[3]  Yean Yng Ling,et al.  Improving the accuracy estimates of building of approximate projects , 2001 .

[4]  Li Liu,et al.  Improving Cost Estimates of Construction Projects Using Phased Cost Factors , 2007 .

[5]  A. H. Boussabaine,et al.  Critical determinants of construction tendering costs: Quantity surveyors’ standpoint , 2005 .

[6]  Suzanne Wilkinson,et al.  Why do the design stage elemental cost plan and final tender sum differ in New Zealand , 2015 .

[7]  Novel Multi-shell Membrane Reactor for Efficient Dehydrogenation of Ethylbenzene , 2005 .

[8]  John A. Gambatese,et al.  Designer, Contractor, and Owner Views on the Topic of Design for Construction Worker Safety , 2012 .

[9]  Dino Bouchlaghem Architectural Engineering and Design Management: Sustainability Themed Issue , 2012 .

[10]  Garold D. Oberlender,et al.  Predicting accuracy of early cost estimates based on estimate quality , 2001 .

[11]  Alfredo Serpell,et al.  Towards a knowledge-based assessment of conceptual cost estimates , 2004 .

[12]  Martin Skitmore,et al.  Comparative analysis of pre-bid forecasting of building prices based on Singapore data , 1999 .

[13]  Søren L. Buhl,et al.  Underestimating Costs in Public Works Projects: Error or Lie? , 2002, 1303.6604.

[14]  Víctor Yepes,et al.  Model for Systematic Innovation in Construction Companies , 2014 .

[15]  Omar M. Shehatto Cost Estimation for Building Construction Projects in Gaza Strip Using Artificial Neural Network (ANN) , 2013 .

[16]  Patrick X.W. Zou,et al.  Case Studies on Risk and Opportunity at Design Stage of Building Projects in Australia: Focus on Safety , 2008 .

[17]  Farrukh Arif,et al.  Factors influencing accuracy of construction project cost estimates in Pakistan: Perception and reality , 2015 .

[18]  Nicholas Chileshe,et al.  An evaluation of risk factors impacting construction projects in Ghana , 2012 .

[19]  Garold D. Oberlender,et al.  Predicting Accuracy of Early Cost Estimates using Factor Analysis and Multivariate Regression , 2003 .

[20]  Munther Ahmed Ibraheem Abdal-hadi Factors Affecting Accuracy of Pre-tender Cost Estimate in Gaza Strip , 2010 .

[21]  Chung C. Fu,et al.  Contingency estimation using a real options approach , 2009 .

[22]  Akintola Akintoye,et al.  Analysis of factors influencing project cost estimating practice , 2000 .

[23]  Yu-Ren Wang,et al.  Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models , 2012 .