Schnitzer, Benjamin ; Köhler, Sonja Tine (2014)
Urban Mining Cadastre — a Geospatial data challenge (6946).
In: Proceedings of FIG XXV Congress 2014 in Kuala Lumpur, 2014
Artikel, Bibliographie
Kurzbeschreibung (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
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2014 |
| Autor(en): | Schnitzer, Benjamin ; Köhler, Sonja Tine |
| Art des Eintrags: | Bibliographie |
| Titel: | Urban Mining Cadastre — a Geospatial data challenge (6946) |
| Sprache: | Englisch |
| Publikationsjahr: | 16 Juni 2014 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Proceedings of FIG XXV Congress 2014 in Kuala Lumpur |
| Jahrgang/Volume einer Zeitschrift: | 2014 |
| Veranstaltungstitel: | XXV FIG Congress 2014 |
| Veranstaltungsort: | Kuala Lumpur, Malaysia |
| URL / URN: | http://www.fig.net/pub/fig2014/papers/ts09h/TS09H_schnitzer_... |
| Kurzbeschreibung (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 |
| Freie Schlagworte: | urban mining, resources, SDI, cadastre, data management, renewable landmanagement, urban facility management, city lifecycle management |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie > Landmanagement 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie 13 Fachbereich Bau- und Umweltingenieurwissenschaften |
| Hinterlegungsdatum: | 19 Dez 2014 16:16 |
| Letzte Änderung: | 13 Jan 2015 08:20 |
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