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Urban Mining Cadastre — a Geospatial data challenge (6946)

Schnitzer, Benjamin and Köhler, Sonja Tine (2014):
Urban Mining Cadastre — a Geospatial data challenge (6946).
In: Proceedings of FIG XXV Congress 2014 in Kuala Lumpur, 2014, ISSN 2308-3441 ,
[Online-Edition: http://www.fig.net/pub/fig2014/papers/ts09h/TS09H_schnitzer_...],
[Article]

Abstract

Regarding the worldwide demand on resources like minerals and metal the need of improving the mining of secondary raw material becomes clear. One of the biggest warehouses unlocked is the building stock. The approach of recovering resources from the anthropogenic stock is called ‘Urban Mining’. Unfortunately, the effective potential is unknown yet, neither in a spatial nor in a temporal comprehension. The availability depends on the type of building and this leads to two main categories which have to be taken into account: On the one hand side space matters, since there is a specific spatial distribution of types of buildings. Concerning the industrial buildings for instance, an urban region with a high density of automotive industry will show a different potential than a rural area with less industry. On the other hand, the remaining life of buildings is based on both the constructional conditions and the specific use. This information could be merged by an urban mining cadaster. Thus, in a research project at Technische Universität Darmstadt a resource cadaster in the metropolitan region Frankfurt/Rhine-Main will be provided, comprising the industrial and commercial buildings of the region. Based on single samples of building types, a projection of the spatial distribution as well as the temporal availability for the whole region will be given. Due to the variety of data sources – most of them in a spatial context – geoinformatic approaches can be used to combine and analyze these data. Different spatial data warehouses are providing information on building types in the research area, combined in a centralized data model can be the key element to calculate a secondary resource inventory. This paper shows the methodical approach of gaining a cadaster of secondary resources using private, OpenData, and official geo- and building meta-data as well as modeling the resource inventory. The complex study is initially focused on the city region Darmstadt

Item Type: Article
Erschienen: 2014
Creators: Schnitzer, Benjamin and Köhler, Sonja Tine
Title: Urban Mining Cadastre — a Geospatial data challenge (6946)
Language: English
Abstract:

Regarding the worldwide demand on resources like minerals and metal the need of improving the mining of secondary raw material becomes clear. One of the biggest warehouses unlocked is the building stock. The approach of recovering resources from the anthropogenic stock is called ‘Urban Mining’. Unfortunately, the effective potential is unknown yet, neither in a spatial nor in a temporal comprehension. The availability depends on the type of building and this leads to two main categories which have to be taken into account: On the one hand side space matters, since there is a specific spatial distribution of types of buildings. Concerning the industrial buildings for instance, an urban region with a high density of automotive industry will show a different potential than a rural area with less industry. On the other hand, the remaining life of buildings is based on both the constructional conditions and the specific use. This information could be merged by an urban mining cadaster. Thus, in a research project at Technische Universität Darmstadt a resource cadaster in the metropolitan region Frankfurt/Rhine-Main will be provided, comprising the industrial and commercial buildings of the region. Based on single samples of building types, a projection of the spatial distribution as well as the temporal availability for the whole region will be given. Due to the variety of data sources – most of them in a spatial context – geoinformatic approaches can be used to combine and analyze these data. Different spatial data warehouses are providing information on building types in the research area, combined in a centralized data model can be the key element to calculate a secondary resource inventory. This paper shows the methodical approach of gaining a cadaster of secondary resources using private, OpenData, and official geo- and building meta-data as well as modeling the resource inventory. The complex study is initially focused on the city region Darmstadt

Journal or Publication Title: Proceedings of FIG XXV Congress 2014 in Kuala Lumpur
Volume: 2014
Uncontrolled Keywords: urban mining, resources, SDI, cadastre, data management, renewable landmanagement, urban facility management, city lifecycle management
Divisions: 13 Department of Civil and Environmental Engineering Sciences > Institute of Geodesy > Land Management
13 Department of Civil and Environmental Engineering Sciences > Institute of Geodesy
13 Department of Civil and Environmental Engineering Sciences
Event Title: XXV FIG Congress 2014
Event Location: Kuala Lumpur, Malaysia
Date Deposited: 19 Dec 2014 16:16
Official URL: http://www.fig.net/pub/fig2014/papers/ts09h/TS09H_schnitzer_...
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