Spatial and temporal characteristics and prediction of C&DW in Shenzhen

Meiqin Xiong; Clyde Zhengdao Li; Bing Xiao; Vivian W. Y. Tam; Shanyang Li; Zhenchao Guo

doi:10.1007/978-981-19-5256-2_23

Spatial and temporal characteristics and prediction of C&DW in Shenzhen

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

School of Built, Environment & Design

Research output: Chapter in Book / Conference Paper › Chapter › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate
Editors	Hongling Guo, Dongping Fang, Weisheng Lu, Yi Peng
Place of Publication	Singapore
Publisher	Springer
Pages	284-294
Number of pages	11
ISBN (Electronic)	9789811952562
ISBN (Print)	9789811952555
DOIs	https://doi.org/10.1007/978-981-19-5256-2_23
Publication status	Published - 2022

Publication series

Name	Lecture Notes in Operations Research
Volume	Part F3783
ISSN (Print)	2731-040X
ISSN (Electronic)	2731-0418

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

Keywords

Construction and demolition waste
Urban renewal
Waste prediction

Access to Document

10.1007/978-981-19-5256-2_23

Cite this

Xiong, M., Li, C. Z., Xiao, B., Tam, V. W. Y., Li, S., & Guo, Z. (2022). Spatial and temporal characteristics and prediction of C&DW in Shenzhen. In H. Guo, D. Fang, W. Lu, & Y. Peng (Eds.), Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate (pp. 284-294). (Lecture Notes in Operations Research; Vol. Part F3783). Springer. https://doi.org/10.1007/978-981-19-5256-2_23

Xiong, Meiqin ; Li, Clyde Zhengdao ; Xiao, Bing et al. / Spatial and temporal characteristics and prediction of C&DW in Shenzhen. Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate. editor / Hongling Guo ; Dongping Fang ; Weisheng Lu ; Yi Peng. Singapore : Springer, 2022. pp. 284-294 (Lecture Notes in Operations Research).

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title = "Spatial and temporal characteristics and prediction of C\&DW in Shenzhen",

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.",

keywords = "Construction and demolition waste, Urban renewal, Waste prediction",

author = "Meiqin Xiong and Li, \{Clyde Zhengdao\} and Bing Xiao and Tam, \{Vivian W. Y.\} and Shanyang Li and Zhenchao Guo",

year = "2022",

doi = "10.1007/978-981-19-5256-2\_23",

language = "English",

isbn = "9789811952555",

series = "Lecture Notes in Operations Research",

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pages = "284--294",

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booktitle = "Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate",

}

Xiong, M, Li, CZ, Xiao, B, Tam, VWY, Li, S & Guo, Z 2022, Spatial and temporal characteristics and prediction of C&DW in Shenzhen. in H Guo, D Fang, W Lu & Y Peng (eds), Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate. Lecture Notes in Operations Research, vol. Part F3783, Springer, Singapore, pp. 284-294. https://doi.org/10.1007/978-981-19-5256-2_23

Spatial and temporal characteristics and prediction of C&DW in Shenzhen. / Xiong, Meiqin; Li, Clyde Zhengdao; Xiao, Bing et al.
Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate. ed. / Hongling Guo; Dongping Fang; Weisheng Lu; Yi Peng. Singapore: Springer, 2022. p. 284-294 (Lecture Notes in Operations Research; Vol. Part F3783).

Research output: Chapter in Book / Conference Paper › Chapter › peer-review

TY - CHAP

T1 - Spatial and temporal characteristics and prediction of C&DW in Shenzhen

AU - Xiong, Meiqin

AU - Li, Clyde Zhengdao

AU - Xiao, Bing

AU - Tam, Vivian W. Y.

AU - Li, Shanyang

AU - Guo, Zhenchao

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Construction and demolition waste

KW - Urban renewal

KW - Waste prediction

UR - https://www.scopus.com/pages/publications/85212482258

UR - https://go.openathens.net/redirector/westernsydney.edu.au?url=https://doi.org/10.1007/978-981-19-5256-2_23

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DO - 10.1007/978-981-19-5256-2_23

M3 - Chapter

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SN - 9789811952555

T3 - Lecture Notes in Operations Research

SP - 284

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BT - Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

A2 - Guo, Hongling

A2 - Fang, Dongping

A2 - Lu, Weisheng

A2 - Peng, Yi

PB - Springer

CY - Singapore

ER -

Xiong M, Li CZ, Xiao B, Tam VWY, Li S, Guo Z. Spatial and temporal characteristics and prediction of C&DW in Shenzhen. In Guo H, Fang D, Lu W, Peng Y, editors, Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate. Singapore: Springer. 2022. p. 284-294. (Lecture Notes in Operations Research). doi: 10.1007/978-981-19-5256-2_23

Spatial and temporal characteristics and prediction of C&DW in Shenzhen

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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