BIM-Based Tools for Managing Construction and Demolition Waste (CDW): A Scoping Review

Bahareh Nikmehr, M. Reza Hosseini, Jun Wang, Nicholas Chileshe and Raufdeen Rameezdeen
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Bahareh Nikmehr: School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia
M. Reza Hosseini: School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia
Jun Wang: School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia
Nicholas Chileshe: UniSA STEM, Scarce Resources and Circular Economy (ScaRCE), University of South Australia, Adelaide, SA 5810, Australia
Raufdeen Rameezdeen: UniSA STEM, Scarce Resources and Circular Economy (ScaRCE), University of South Australia, Adelaide, SA 5810, Australia

Sustainability, 2021, vol. 13, issue 15, 1-19

Abstract: This article provides a picture of the latest developments in providing BIM-based tools for construction and demolition waste (CDW) management. The coverage and breadth of the literature on offering BIM-based tools and technologies for dealing with CDW throughout the whole life cycle of construction are investigated, and gaps are identified. Findings reveal that, although various BIM-based technologies are closely associated with CDW, much of the existing research on this area has focused on the design and construction phase; indeed, the problem of CDW in post-construction stages has received scant attention. Besides, the now available tools and technologies are lacking in cross-phase insights into project waste aspects and are weak in theoretical rigor. This article contributes to the field by identifying the intellectual deficiencies in offering BIM-based tools and technologies when dealing with CDW. So, too, it points to major priorities for future research on the topic. For practitioners, the study provides a point of reference and raises awareness in the field about the most advanced available BIM-based technologies for dealing with CDW problems.

Keywords: digital engineering; building information modeling; sustainable construction; application program interface (API); algorithm; data mining (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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