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Article . 2018
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Extending Semantic 3D City Models by Supply and Disposal Networks for Analysing the Urban Supply Situation

Authors: Kutzner, Tatjana; Kolbe, Thomas H.;

Extending Semantic 3D City Models by Supply and Disposal Networks for Analysing the Urban Supply Situation

Abstract

For applications of 3D city models such as simulating the impact of failures in supply networks, information on the city objects as well as on the supply networks are required. The CityGML extension UtilityNetworkADE allows for modelling different types of networks, the focus currently being on the representation of topographical and topological aspects. However, for representing supply and disposal tasks, also functional aspects are of relevance, in particular, when no detailed modelling of supply networks is available, but the impact of a failure on a certain region is to be analysed nevertheless. This paper presents three methods complementing the CityGML UtilityNetworkADE by functional aspects regarding the modelling of supply areas, the characterisation of city objects and network features according to functional roles and the representation of the potential and current supply of commodities to city objects.

Keywords

GISPro_CityGML;GISPro_CityGML_UtilityNetworkADE; GISTop_Standardization; GISTop_CityModeling; LOCenter; LOCTop_Urban_Information_Modeling_Virtual_3D_City_Model, ddc: ddc:620, ddc: ddc:

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green