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Predicting Renovation Waste Generation Based on Grey System Theory: A Case Study of Shenzhen

Author

Listed:
  • Zhikun Ding

    (Department of Construction Management and Real Estate, Shenzhen University, Shenzhen 518060, China
    Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China)

  • Mengjie Shi

    (Department of Construction Management and Real Estate, Shenzhen University, Shenzhen 518060, China)

  • Chen Lu

    (School of Management, Guangzhou University, Guangzhou 510006, China)

  • Zezhou Wu

    (Department of Construction Management and Real Estate, Shenzhen University, Shenzhen 518060, China
    Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China)

  • Dan Chong

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Wenyan Gong

    (Country Garden, Dong Guan 523777, China)

Abstract

With the rapid development of urbanization, more and more people are willing to improve their living conditions, thus substantial attention has been paid to residential renovation in China. As a result, large quantities of renovation waste are generated annually which seriously challenge sustainable urban development. To effectively manage renovation waste, accurate prediction of waste generation rates is a prerequisite. However, in the literature, few attempts have been made for predicting renovation waste as renovation activities vary significantly in different cases. This study offers an approach to estimate the amount of renovation waste based on the vacancy rate and renovation waste generation rates at a city level. The grey system theory was applied to predict the amount of renovation waste in Shenzhen. Results showed that the amount of renovation waste would reach 135,620 tons in 2023. The research findings can provide supportive information to relevant stakeholders for developing a renovation waste management framework.

Suggested Citation

  • Zhikun Ding & Mengjie Shi & Chen Lu & Zezhou Wu & Dan Chong & Wenyan Gong, 2019. "Predicting Renovation Waste Generation Based on Grey System Theory: A Case Study of Shenzhen," Sustainability, MDPI, vol. 11(16), pages 1-13, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4326-:d:256503
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    References listed on IDEAS

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    Cited by:

    1. Liang Qiao & Doudou Liu & Xueliang Yuan & Qingsong Wang & Qiao Ma, 2020. "Generation and Prediction of Construction and Demolition Waste Using Exponential Smoothing Method: A Case Study of Shandong Province, China," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    2. Ting Wang & Kaiyi Li & Defu Liu & Yang Yang & Dong Wu, 2022. "Estimating the Carbon Emission of Construction Waste Recycling Using Grey Model and Life Cycle Assessment: A Case Study of Shanghai," IJERPH, MDPI, vol. 19(14), pages 1-16, July.

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