Developing a CityGML-based Graph Data Model for Utility Infrastructure in Smart Cities
Graph data models are essential for the development of smart cities, where interconnected systems such as utility networks, transportation, and IoT devices must function cohesively. The complexity of smart city infrastructure necessitates 3D data structures capable of managing intricate relationship...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2025-07-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-G-2025/405/2025/isprs-annals-X-G-2025-405-2025.pdf |
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| _version_ | 1849702615105929216 |
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| author | E. Javaherian Pour B. Atazadeh A. Rajabifard S. Sabri |
| author_facet | E. Javaherian Pour B. Atazadeh A. Rajabifard S. Sabri |
| author_sort | E. Javaherian Pour |
| collection | DOAJ |
| description | Graph data models are essential for the development of smart cities, where interconnected systems such as utility networks, transportation, and IoT devices must function cohesively. The complexity of smart city infrastructure necessitates 3D data structures capable of managing intricate relationships, dynamic environments, and high connectivity across diverse systems. Graph data models are particularly suited for this purpose, as they offer an integrated 3D digital representation of urban complexity and interconnectivity. This study employs the Labelled Property Graph (LPG) framework to develop a 3D graph data model based on the Utility Network Application Domain Extension (ADE) of the CityGML standard. The proposed approach enhances utility network data management, enabling advanced analyses such as connectivity assessment and pathfinding. The developed graph data model is evaluated in terms of constraint preservation, information integrity, and connection realism. Results demonstrate that the model accurately represents real-world utility network structures while preventing data loss and duplication. |
| format | Article |
| id | doaj-art-f0fbea1ddfa64d4dbed262beb821ffa3 |
| institution | DOAJ |
| issn | 2194-9042 2194-9050 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-f0fbea1ddfa64d4dbed262beb821ffa32025-08-20T03:17:35ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502025-07-01X-G-202540541210.5194/isprs-annals-X-G-2025-405-2025Developing a CityGML-based Graph Data Model for Utility Infrastructure in Smart CitiesE. Javaherian Pour0B. Atazadeh1A. Rajabifard2S. Sabri3The Centre for Spatial Data Infrastructure and Land Administration, Department of Infrastructure Engineering, The University of Melbourne, Victoria 3010, AustraliaThe Centre for Spatial Data Infrastructure and Land Administration, Department of Infrastructure Engineering, The University of Melbourne, Victoria 3010, AustraliaThe Centre for Spatial Data Infrastructure and Land Administration, Department of Infrastructure Engineering, The University of Melbourne, Victoria 3010, AustraliaUrban Digital Twin Lab, School of Modelling Simulation and Training, University of Central Florida, Orlando, USAGraph data models are essential for the development of smart cities, where interconnected systems such as utility networks, transportation, and IoT devices must function cohesively. The complexity of smart city infrastructure necessitates 3D data structures capable of managing intricate relationships, dynamic environments, and high connectivity across diverse systems. Graph data models are particularly suited for this purpose, as they offer an integrated 3D digital representation of urban complexity and interconnectivity. This study employs the Labelled Property Graph (LPG) framework to develop a 3D graph data model based on the Utility Network Application Domain Extension (ADE) of the CityGML standard. The proposed approach enhances utility network data management, enabling advanced analyses such as connectivity assessment and pathfinding. The developed graph data model is evaluated in terms of constraint preservation, information integrity, and connection realism. Results demonstrate that the model accurately represents real-world utility network structures while preventing data loss and duplication.https://isprs-annals.copernicus.org/articles/X-G-2025/405/2025/isprs-annals-X-G-2025-405-2025.pdf |
| spellingShingle | E. Javaherian Pour B. Atazadeh A. Rajabifard S. Sabri Developing a CityGML-based Graph Data Model for Utility Infrastructure in Smart Cities ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Developing a CityGML-based Graph Data Model for Utility Infrastructure in Smart Cities |
| title_full | Developing a CityGML-based Graph Data Model for Utility Infrastructure in Smart Cities |
| title_fullStr | Developing a CityGML-based Graph Data Model for Utility Infrastructure in Smart Cities |
| title_full_unstemmed | Developing a CityGML-based Graph Data Model for Utility Infrastructure in Smart Cities |
| title_short | Developing a CityGML-based Graph Data Model for Utility Infrastructure in Smart Cities |
| title_sort | developing a citygml based graph data model for utility infrastructure in smart cities |
| url | https://isprs-annals.copernicus.org/articles/X-G-2025/405/2025/isprs-annals-X-G-2025-405-2025.pdf |
| work_keys_str_mv | AT ejavaherianpour developingacitygmlbasedgraphdatamodelforutilityinfrastructureinsmartcities AT batazadeh developingacitygmlbasedgraphdatamodelforutilityinfrastructureinsmartcities AT arajabifard developingacitygmlbasedgraphdatamodelforutilityinfrastructureinsmartcities AT ssabri developingacitygmlbasedgraphdatamodelforutilityinfrastructureinsmartcities |