Modelling Below- And Above-Ground Utility Network Features With the Citygml Utility Network Ade: Experiences From Rotterdam

Abstract

<p><strong>Abstract.</strong> Precise and comprehensive knowledge about 3D urban space is required for simulation and analysis in the fields of urban and environmental planning, city administration and disaster management. In order to facilitate these applications, geo-information about functional, semantic, and topographic aspects of urban features, their mutual dependencies and relations is needed. Substantial work has been done in the modelling and representation of above-ground features in the context of 3D city modelling. However, the belowground part of the real world, of which utility networks form a big part, is often neglected. Existing data models for utility networks are generally very domain-specific and, therefore, not suitable either. This paper describes a 3D data modelling approach for integrated management of below-ground utility networks and related above-ground city objects. This approach consists of manipulating first the structure of existing utility data in the commonly used Feature Manipulation Engine ETL software in order to make the data compliant to the CityGML Utility Network ADE data model. Subsequently, workspaces are created that take care of storing the CityGML data into the free and open-source 3D City Database, which has been extended in order to manage utility network data, too. Moreover, the research shows the suitability of the extended 3DCityDB to perform graph-based topological operations by means of the PostgreSQL pgRouting extension. Lastly, the results are visualized in typical GIS applications, e.g. QGIS and ArcGIS.</p>

LADM Based Utility Network Cadastre in Serbia

“…This brings up the question of whether some of the existing utility network data models could be used for the purpose of a more efficient visualization of the desired 3D data. Several utility network data models for visualization, exchange, analysis, and storage of utility network data have been developed by different organizations to meet the needs of a specific domain [30][31][32]. In the literature, the most commonly mentioned utility network data models are the INSPIRE Utility Networks model [33], IFC (Industry Foundation Classes) Utility model [34], ESRI Utility Network model [35], LandInfra [36], PipelineML [37], and the CityGML Utility Network ADE (Application Domain Extension) [38].…”

Underground Land Administration from 2D to 3D: Critical Challenges and Future Research Directions

“…Data models play underpinning roles in integrating physical and legal data and managing underground space. Several studies have focused on modelling aboveground assets; however, underground objects are often neglected [66]. On the other hand, current data models focus on the physical or legal aspects of underground space and are mostly based on 2D approaches.…”

Ontology-based modelling of lifecycle underground utility information to support operation and maintenance

“…Besides, Wang et al developed the extension of IFC for underground utility, which however was only a conceptual model [1]. CityGML utility network ADE [60] was another effort based on CityGML to model different utility networks in 3D city models, which was utilized as the base model in some studies [13,61]. On the other hand, semantic web and ontology technologies are also investigated for integrating geospatial data and underground utilities.…”