Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 19 results ...
Ahmed, S and Arocho, I (2022) Implementing a Choosing-by-Advantages Decision-Making Method to Evaluate the Critical Success Factors of Mass-Timber Building Materials in the US. Journal of Construction Engineering and Management, 148(10).
Chen, H, Zhu, Y and Luo, X (2022) TableGraph: An Image Segmentation–Based Table Knowledge Interpretation Model for Civil and Construction Inspection Documentation. Journal of Construction Engineering and Management, 148(10).
da Silva, T F L, de Carvalho, M M and Vieira, D R (2022) BIM Critical-Success Factors in the Design Phase and Risk Management: Exploring Knowledge and Maturity Mediating Effect. Journal of Construction Engineering and Management, 148(10).
Gan, V J L (2022) BIM-Based Building Geometric Modeling and Automatic Generative Design for Sustainable Offsite Construction. Journal of Construction Engineering and Management, 148(10).
Hassandokht Mashhadi, A, Handy, R, Farhadmanesh, M, Rashidi, A, Honda, T, Sleeth, D K and Henry, T (2022) Feasibility Study of Using Nebulizer-Retrofitted UAVs at Construction Projects: The Case Study of Residential Jobsites in Utah. Journal of Construction Engineering and Management, 148(10).
Kamardeen, I and Hasan, A (2022) Occupational Health and Safety Implications of an Aging Workforce in the Australian Construction Industry. Journal of Construction Engineering and Management, 148(10).
Kurwi, S, Demian, P, Hassan, T M and Blay, K B (2022) A Process Model for Collaboration at the Design Stage of Rail Project Delivery. Journal of Construction Engineering and Management, 148(10).
Li, N, Du, J, González, V A and Chen, J (2022) Methodology for Extended Reality–Enabled Experimental Research in Construction Engineering and Management. Journal of Construction Engineering and Management, 148(10).
Lin, S and Cheung, S O (2022) Intention to Settle as an Indispensable Element of Negotiated Construction Dispute Settlement. Journal of Construction Engineering and Management, 148(10).
Lingard, H, Zhang, R P, LaBond, C, Clarke, J and Doan, T (2022) Situated Learning: How Interactions with Supervisors Shape Construction Apprentices’ Safety Learning and Practice. Journal of Construction Engineering and Management, 148(10).
Mantha, B R K and Garcia de Soto, B (2022) Investigating the Fiducial Marker Network Characteristics for Autonomous Mobile Indoor Robot Navigation Using ROS and Gazebo. Journal of Construction Engineering and Management, 148(10).
Naji, K K, Gunduz, M and Hamaidi, M F (2022) Major Factors Affecting Construction Waste Management in Infrastructure Projects Using Structural Equation Model. Journal of Construction Engineering and Management, 148(10).
- Type: Journal Article
- Keywords: Construction waste management (CWM); Infrastructure; Importance index; Confirmatory factor analysis; Critical success factors (CSF); Rework; Key performance indicators; Lean; Productivity; Sustainability; Structural equation modeling (SEM);
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002358
- Abstract:
The construction industry has grown significantly to fulfill the expanding need for accommodation, facilities, welfare, and services resulting from the rapid increase in the global population. Infrastructure projects in particular facilitate transportation and services for both new and existing areas, yet they are also one of the primary producers of construction waste, which is harmful to both society and the environment. Hence, the objective of this paper is to identify the factors affecting construction waste management in infrastructure projects (CWMIIP) and study their respective impacts on construction waste management (CWM) performance. This study makes a unique contribution by not only addressing the factors that influence the development of construction wastes and their importance, but also by giving quantifiable solutions and action plans to reduce the waste. Using a literature review, 26 factors were selected as the major contributors to construction waste in infrastructure projects. An online questionnaire was then developed to collect data on the respective impacts of these factors. A total of 167 complete responses to the questionnaire were collected, and a structural equation model (SEM) was developed to quantitatively measure the impact of each factor on waste management performance. The model was validated using goodness of fit (GOF), multivariate normality, construct validity, reliability, and hypotheses analyses. The results indicate that the most significant factors affecting the generation of construction wastes are “quantity take-off error by contractor,” “unforeseen incidents damaging site and/or completed works,” “design errors,” and “extreme weather conditions damaging completed works.” The model results showed that all predefined hypotheses were supported, except for the positive effect of the logistics group, which was dropped during model development. Individual factors were also divided into groups, and the total impact of each group was assessed; the “management” group had the greatest impact, followed by “execution,” “others,” and “procurement.” Based on these findings, we make several recommendations to construction industry professionals to reduce waste and mitigate its harmful effects, such as requiring a construction waste management implementation plan before awarding a project to a contractor; engaging with project suppliers to provide execution training for contractor staff; ensuring proper implementation of health, safety, and environmental plans; and purchasing locally available materials.
Paquin, J, Morin, P, Lambert, A and Koplyay, T (2022) Assessing Project Contingency Reserves with the Expected Cost Overrun Risk Measure. Journal of Construction Engineering and Management, 148(10).
Retamal, F, Salazar, L A and Alarcón, L F (2022) Online Monitoring and Implementation of Commitment Management Performance and Its Impact on Project Planning in Four Construction Projects. Journal of Construction Engineering and Management, 148(10).
Tian, D, Li, M, Han, S and Shen, Y (2022) A Novel and Intelligent Safety-Hazard Classification Method with Syntactic and Semantic Features for Large-Scale Construction Projects. Journal of Construction Engineering and Management, 148(10).
Wang, B, Geng, L, Dang, P and Zhang, L (2022) Developing a Framework for Dynamic Organizational Resilience Analysis in Prefabricated Construction Projects: A Project Life Cycle Perspective. Journal of Construction Engineering and Management, 148(10).
Wu, H, Zhang, P, Li, H, Zhong, B, Fung, I W H and Lee, Y Y R (2022) Blockchain Technology in the Construction Industry: Current Status, Challenges, and Future Directions. Journal of Construction Engineering and Management, 148(10).
Xue, H, Sun, T and Zheng, J (2022) Organizational Elements and Collaborative Organizational Citizenship Behavior in Off-Site Construction Projects: Configurational Approach. Journal of Construction Engineering and Management, 148(10).
Zhu, Q, Zhou, T, Xia, P and Du, J (2022) Robot Planning for Active Collision Avoidance in Modular Construction: Pipe Skids Example. Journal of Construction Engineering and Management, 148(10).