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

Zhikun Ding, Mengjie Shi, Chen Lu, Zezhou Wu, Dan Chong and Wenyan Gong
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Zhikun Ding: Department of Construction Management and Real Estate, 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
Dan Chong: School of Management, Shanghai University, Shanghai 200444, China
Wenyan Gong: Country Garden, Dong Guan 523777, China

Sustainability, 2019, vol. 11, issue 16, 1-13

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.

Keywords: renovation waste; generation prediction; management; grey system theory (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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