Study on Management of Large-Scale Urban Demolition Waste Based on GIS
Jingrong Zhang,
Jiayuan Wang (wangjy@szu.edu.cn),
Bo Yu and
Kunyang Chen
Additional contact information
Jingrong Zhang: Shenzhen University
Jiayuan Wang: Shenzhen University
Bo Yu: Shenzhen University
Kunyang Chen: Shenzhen University
A chapter in Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 1603-1617 from Springer
Abstract:
Abstract The urbanization process not only promotes the development and transformation of the city, but also produces a large number of demolition waste. However, due to the decentralization of basic data and related technical support, there is currently a lack of large-scale construction waste management methods, which leads to major problems in the management of urban-scale demolition waste. The purpose of this study is to provide decision makers with information management tools for urban scale and project scale. Based on the study of the basic properties, economic benefits and environmental impact analysis of demolition waste, this paper uses the spatial analysis function of Web GIS, and uses JavaScript, HTML, JSP and other development languages. EditPlus text editor is also used as a development tool. At the same time, a lightweight visualization method of massive digital surface model data and urban demolition waste data in the network environment is proposed. Three-dimensional visualization data resources are organized and managed using the three-dimensional data format G1TF. This method can realize information management of demolition waste at city scale, and provide theoretical and practical reference for stakeholders according to economic benefits and environmental impacts.
Keywords: Demolition waste; GIS; Spatial analysis; Data lightweight (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8892-1_112
Ordering information: This item can be ordered from
http://www.springer.com/9789811588921
DOI: 10.1007/978-981-15-8892-1_112
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com).