Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 11 results ...

Candaş, A B and Tokdemir, O B (2022) Automated Identification of Vagueness in the FIDIC Silver Book Conditions of Contract. Journal of Construction Engineering and Management, 148(04).

Guevara, J, Herrera, L and Salazar, J (2022) Interorganizational Sponsor Networks in Road and Social Infrastructure PPP Equity Markets. Journal of Construction Engineering and Management, 148(04).

Han, S, Jiang, Y and Bai, Y (2022) Fast-PGMED: Fast and Dense Elevation Determination for Earthwork Using Drone and Deep Learning. Journal of Construction Engineering and Management, 148(04).

Hosseinian, S M, Arjomand, A, Li, C Q and Zhang, G (2022) Developing a Model for Assessing Project Completion Time Reliability during Construction Using Time-Dependent Reliability Theory. Journal of Construction Engineering and Management, 148(04).

Liu, Q, Ye, G, Yang, J, Xiang, Q and Liu, Q (2022) Construction Workers’ Representativeness Heuristic in Decision Making: The Impact of Demographic Factors. Journal of Construction Engineering and Management, 148(04).

Ma, L and Fu, H (2022) A Governance Framework for the Sustainable Delivery of Megaprojects: The Interaction of Megaproject Citizenship Behavior and Contracts. Journal of Construction Engineering and Management, 148(04).

Tiruneh, G G and Fayek, A R (2022) Hybrid GA-MANFIS Model for Organizational Competencies and Performance in Construction. Journal of Construction Engineering and Management, 148(04).

Wang, P, Wang, K, Huang, Y, Fenn, P and Stewart, I (2022) Auditing Construction Cost from an In-Process Perspective Based on a Bayesian Predictive Model. Journal of Construction Engineering and Management, 148(04).

Xie, H, Hong, Y and Brilakis, I (2022) Analysis of User Needs in Time-Related Risk Management for Holistic Project Understanding. Journal of Construction Engineering and Management, 148(04).

  • Type: Journal Article
  • Keywords: Construction schedule; Decision tree; Project execution; User needs; Risk assessment;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002241
  • Abstract:
    Evaluation of time-related risks often leads to changes and adjustments in construction schedules, but this influential process is not extensively mapped in literature because of the unstructured data. This absence causes information deficiency and confusion in communication, which, in turn, affects project planning and control, and hinders knowledge sharing and management. This research aims to investigate the obstacles in project execution with the assumption that a decision tree model can map user needs and trace workflows. To understand user needs, we first recorded the focus group discussions followed by semi-structured interviews, then transcribed them into a combined script of 120,000 words. Meanwhile, the prevailing standards of project execution were diagrammed to define ten interconnected categories and derive the workflow schemes to obtain a novel decision tree model, which was used together with the interview data to validate the probabilities and the weighted significance values. The next step was to quantify and prioritize the exact user needs and data specifications of the industry professionals during project execution. After the verification with the invited expert panel, the results show that the most predominant urgencies of time-related risk management are (1) the decision support tools using automated functions to check schedule logic and evaluating risks, (2) preparation assistance for risk communication, and (3) generation of risk mitigation scenarios. The findings can help to line up software development steps for scheduling programs and improve the quality of the risk response strategies for construction projects. One limitation of the current work is the sample size of interviewees, which could be enhanced by designing a questionnaire based on the findings and survey the construction industry.

Zhang, X and Liu, J (2022) Incentive Mechanism and Value-Added in PPP Projects Considering Financial Institutions’ Early Intervention. Journal of Construction Engineering and Management, 148(04).

Zhu, H, Hwang, B, Ngo, J and Tan, J P S (2022) Applications of Smart Technologies in Construction Project Management. Journal of Construction Engineering and Management, 148(04).