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Construction Waste Generation Rate (WGR) Revisited: A Big Data Approach

In: Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Xi Chen

    (University of Hong Kong)

  • Weisheng Lu

    (University of Hong Kong)

  • Meng Ye

    (University of Hong Kong
    Chongqing University)

  • Liyin Shen

    (Chongqing University)

Abstract

Benchmarking performance is one of the most efficient ways to improve construction and demolition (C&D) waste management continuously. Waste generation rate (WGR), however it is defined, is often utilized as the key performance indicator (KPI) for this benchmarking purpose. Yet, the WGR cannot be known with any precision, as current studies, for various reasons, can only investigate a relatively small sample of projects hence their results cannot justifiably be generalized to estimate WGRs in other projects. Managers have complained that current WGRs are too divergent to be confidently accepted as KPIs for benchmarking. This research aims at developing a set of convergent KPIs/WGRs, by making use of a large set of data that has become available only recently. By mining the big data of construction waste disposal records accumulated in Hong Kong over 2011, it is found that the WGRis convergent with the increase of data. It thus can be used for benchmarking the performance of C&D waste management. The study provides not only more accurate WGRs in Hong Kong, but also insightful understanding of the usage of WGRs for C&D waste management decision-makers, researchers and the like.

Suggested Citation

  • Xi Chen & Weisheng Lu & Meng Ye & Liyin Shen, 2015. "Construction Waste Generation Rate (WGR) Revisited: A Big Data Approach," Springer Books, in: Liyin Shen & Kunhui Ye & Chao Mao (ed.), Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate, edition 127, chapter 0, pages 843-854, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-46994-1_69
    DOI: 10.1007/978-3-662-46994-1_69
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