Journal
RESOURCES CONSERVATION AND RECYCLING
Volume 146, Issue -, Pages 462-474Publisher
ELSEVIER
DOI: 10.1016/j.resconrec.2019.02.020
Keywords
Construction waste; Automated quantification; Reuse; Recycling; Disposal planning
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The large proportions of waste generated from the construction industry have led to adverse environmental and economic impacts. Consequentially, there is a need for effective construction waste management (CWM) at construction sites. This study seeks to define Building Information Modeling (BIM) dimensions and respective conceptual interactions that shape the integration of CWM with construction management. A multi-dimensional framework is proposed that leverages BIM-based automated construction waste (CW) estimation capabilities to provide guidance on CWM applications, specifically, CW disposal scheduling, disposal cost estimation, onsite reuse, and allocation of waste bins. The framework presents interactions between these CWM applications and construction management fields-scheduling, estimation, sustainability, and site planning-to enable a strategic alignment between conventional project objectives and CWM. To demonstrate the framework, a real-world pilot project is employed for the case of concrete waste. Data used are documented and tracked from the project and interviews. The results reveal a 5.3% difference between estimated and actual concrete waste quantities. Accordingly, the expected dates for scheduling concrete waste pick-up are estimated for proposed integration into the project schedule. The study estimates savings of over $35,000 from reuse and recycling. Construction activities related to a retaining wall-requiring backfill-are identified from the project schedule as opportunities for reuse. Findings reveal that waste bins could be dedicated to waste streams with high generation rates at each construction stage. Findings from this study would serve as a guide for construction practitioners in assessing key benefits of CWM in improving the scheduling, cost, and sustainability performance of construction projects.
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