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AlChaer, E and Issa, C A (2020) Engineering Productivity Measurement: A Novel Approach. Journal of Construction Engineering and Management, 146(08).

Cai, S, Ma, Z, Skibniewski, M J, Bao, S and Wang, H (2020) Construction Automation and Robotics for High-Rise Buildings: Development Priorities and Key Challenges. Journal of Construction Engineering and Management, 146(08).

Chen, Y, Chen, S, Hu, C, Jin, L and Zheng, X (2020) Novel Probabilistic Cost Estimation Model Integrating Risk Allocation and Claim in Hydropower Project. Journal of Construction Engineering and Management, 146(08).

Han, Y, Yin, Z, Zhang, J, Jin, R and Yang, T (2020) Eye-Tracking Experimental Study Investigating the Influence Factors of Construction Safety Hazard Recognition. Journal of Construction Engineering and Management, 146(08).

Ibrahim, M W, Hanna, A S, Russell, J S, Abotaleb, I S and El-adaway, I H (2020) Quantitative Analysis of the Impacts of Out-of-Sequence Work on Project Performance. Journal of Construction Engineering and Management, 146(08).

Jiang, Y and Bai, Y (2020) Estimation of Construction Site Elevations Using Drone-Based Orthoimagery and Deep Learning. Journal of Construction Engineering and Management, 146(08).

Kim, J J, Miller, J A and Kim, S (2020) Cost Impacts of Change Orders due to Unforeseen Existing Conditions in Building Renovation Projects. Journal of Construction Engineering and Management, 146(08).

  • Type: Journal Article
  • Keywords: Change orders; Construction costs; Existing conditions; Renovation; Commercial building; Statistics;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001888
  • Abstract:
    A renovation project generally requires time, money, or costly equipment to examine the existing conditions of a structure. When unforeseen existing conditions are not properly examined, unexpected costs and/or schedule impacts can adversely affect the successful completion of a renovation project. This paper examines whether the cost impact of change orders due to unforeseen existing conditions is significant compared with the cost impacts of all other change orders, and quantifies the impact on the total project costs and the construction trade. Statistical analyses such as t-test and ANOVA were conducted, using information on 517 change orders obtained from 27 building renovation projects. The results show that change orders due to unforeseen existing conditions have significant impacts compared with change orders caused by other reasons, and that the calculated mean cost is higher for change orders stemming from unforeseen existing conditions. The results also show that the concrete trade is most impacted by change orders from unforeseen existing conditions, while the trade with the highest cost impact is heating, ventilating, and air conditioning. This paper investigates the effect of unforeseen existing conditions on the costs associated with change orders. The paper also identifies those construction trades that are more impacted than others and, therefore, require special attention. This knowledge is essential for identifying areas of possible cost overruns and minimizing overruns in building renovation projects.

Li, H, Lv, L, Zuo, J, Su, L, Wang, L and Yuan, C (2020) Dynamic Reputation Incentive Mechanism for Urban Water Environment Treatment PPP Projects. Journal of Construction Engineering and Management, 146(08).

Li, J, Wang, H, Xie, Y and Zeng, W (2020) Human Error Identification and Analysis for Shield Machine Operation Using an Adapted TRACEr Method. Journal of Construction Engineering and Management, 146(08).

Ryu, J, Alwasel, A, Haas, C T and Abdel-Rahman, E (2020) Analysis of Relationships between Body Load and Training, Work Methods, and Work Rate: Overcoming the Novice Mason’s Risk Hump. Journal of Construction Engineering and Management, 146(08).

Sonmez, R, Aminbakhsh, S and Atan, T (2020) Activity Uncrashing Heuristic with Noncritical Activity Rescheduling Method for the Discrete Time-Cost Trade-Off Problem. Journal of Construction Engineering and Management, 146(08).

Tan, T, Lu, W, Tan, G, Xue, F, Chen, K, Xu, J, Wang, J and Gao, S (2020) Construction-Oriented Design for Manufacture and Assembly Guidelines. Journal of Construction Engineering and Management, 146(08).

Yin, X, Chen, Y, Bouferguene, A, Zaman, H, Al-Hussein, M and Russell, R (2020) Data-Driven Framework for Modeling Productivity of Closed-Circuit Television Recording Process for Sewer Pipes. Journal of Construction Engineering and Management, 146(08).

Zhan, W and Pan, W (2020) Formulating Systemic Construction Productivity Enhancement Strategies. Journal of Construction Engineering and Management, 146(08).

Zhang, R P, Lingard, H and Oswald, D (2020) Impact of Supervisory Safety Communication on Safety Climate and Behavior in Construction Workgroups. Journal of Construction Engineering and Management, 146(08).

Zheng, J, Wen, Q and Qiang, M (2020) Understanding Demand for Project Manager Competences in the Construction Industry: Data Mining Approach. Journal of Construction Engineering and Management, 146(08).

Zhu, L, Cheung, S O, Gao, X, Li, Q and Liu, G (2020) Success DNA of a Record-Breaking Megaproject. Journal of Construction Engineering and Management, 146(08).