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Barriers and Risks in BIM-Embedded Design Collaboration: A Two-Mode Social Network Analysis Read chapter Read first chapter

2022 | OriginalPaper | Chapter

Spatial and Temporal Characteristics and Prediction of C&DW in Shenzhen

Authors : Meiqin Xiong, Clyde Zhengdao Li, Bing Xiao, Vivian W. Y. Tam, Shanyang Li, Zhenchao Guo

Published in: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Publisher: Springer Nature Singapore

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Abstract

Recently, with the acceleration of urbanization and the increase of construction and demolition waste (C&DW) production, the research on C&DW management has been paid more attention. To optimize C&DW management, it is essential to accurately obtain information on the quantity, time, location and flow direction of waste generated. In this study, a prediction model of C&DW production was established based on the yield method per unit floor area. With the help of Google Earth software and corresponding database to collect and process data, the waste production of Shenzhen city from 2021 to 2030 is predicted by using GIS and grey prediction method, to complete the prediction of the temporal and spatial distribution of the waste production. Reasonable prediction results of C&DW can provide valuable reference information for waste resource utilization, to realize efficient and sustainable waste management.

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previous chapter A Review of Research on Supply Chain Resilience in the Construction Industry
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Metadata
Title
Spatial and Temporal Characteristics and Prediction of C&DW in Shenzhen
Authors
Meiqin Xiong
Clyde Zhengdao Li
Bing Xiao
Vivian W. Y. Tam
Shanyang Li
Zhenchao Guo
Copyright Year
2022
Publisher
Springer Nature Singapore
Book
Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Print ISBN: 978-981-19-5255-5

Electronic ISBN: 978-981-19-5256-2

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-19-5256-2_23