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Ahuja, V, Yang, J and Shankar, R (2010) Benchmarking Framework to Measure Extent of ICT Adoption for Building Project Management. Journal of Construction Engineering and Management, 136(05), 538–45.

Alnuaimi, A S, Taha, R A, Al Mohsin, M and Al-Harthi, A S (2010) Causes, Effects, Benefits, and Remedies of Change Orders on Public Construction Projects in Oman. Journal of Construction Engineering and Management, 136(05), 615–22.

Chan, A P C, Lam, P T I, Chan, D W M, Cheung, E and Ke, Y (2010) Critical Success Factors for PPPs in Infrastructure Developments: Chinese Perspective. Journal of Construction Engineering and Management, 136(05), 484–94.

Chan, D W M, Chan, A P C, Lam, P T I and Wong, J M W (2010) Empirical Study of the Risks and Difficulties in Implementing Guaranteed Maximum Price and Target Cost Contracts in Construction. Journal of Construction Engineering and Management, 136(05), 495–507.

Cheung, S O, Yiu, T W and Chan, H W (2010) Exploring the Potential for Predicting Project Dispute Resolution Satisfaction Using Logistic Regression. Journal of Construction Engineering and Management, 136(05), 508–17.

Christodoulou, S E, Ellinas, G and Michaelidou-Kamenou, A (2010) Minimum Moment Method for Resource Leveling Using Entropy Maximization. Journal of Construction Engineering and Management, 136(05), 518–27.

Creedy, G D, Skitmore, M and Wong, J K W (2010) Evaluation of Risk Factors Leading to Cost Overrun in Delivery of Highway Construction Projects. Journal of Construction Engineering and Management, 136(05), 528–37.

  • Type: Journal Article
  • Keywords: Construction management; Costs; Highways and roads; Risk management; Project delivery; Construction management; Cost estimates; Cost overrun; Highway construction; Risk management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000160
  • Abstract:
    Accurate owner budget estimates are critical to the initial decision-to-build process for highway construction projects. However, transportation projects have historically experienced significant construction cost overruns from the time the decision to build has been taken by the owner. This paper addresses the problem of why highway projects overrun their predicted costs. It identifies the owner risk variables that contribute to significant cost overrun and then uses factor analysis, expert elicitation, and the nominal group technique to establish groups of importance ranked owner risks. Stepwise multivariate regression analysis is also used to investigate any correlation of the percentage of cost overrun with risks, together with attributes such as highway project type, indexed cost, geographic location, and project delivery method. The research results indicate a correlation between the reciprocal of project budget size and percentage cost overrun. This can be useful for owners in determining more realistic decision-to-build highway budget estimates by taking into account the economies of scale associated with larger projects.

Elyamany, A and Abdelrahman, M (2010) Contractor Performance Evaluation for the Best Value of Superpave Projects. Journal of Construction Engineering and Management, 136(05), 606–14.

Horta, I M, Camanho, A S and Da Costa, J M (2010) Performance Assessment of Construction Companies Integrating Key Performance Indicators and Data Envelopment Analysis. Journal of Construction Engineering and Management, 136(05), 581–94.

Javernick-Will, A N and Scott, W R (2010) Who Needs to Know What? Institutional Knowledge and Global Projects. Journal of Construction Engineering and Management, 136(05), 546–57.

Klotz, L and Horman, M (2010) Counterfactual Analysis of Sustainable Project Delivery Processes. Journal of Construction Engineering and Management, 136(05), 595–605.

Lim, J N, Schultmann, F and Ofori, G (2010) Tailoring Competitive Advantages Derived from Innovation to the Needs of Construction Firms. Journal of Construction Engineering and Management, 136(05), 568–80.

Rezgui, Y and Miles, J (2010) Exploring the Potential of SME Alliances in the Construction Sector. Journal of Construction Engineering and Management, 136(05), 558–67.

Yang, L and Shi, J J (2010) Experimental Study on the Impact of Rainfall on RCC Construction. Journal of Construction Engineering and Management, 136(05), 477–83.