A Method for Semantic City Modeling
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 3rd International Civil Engineering and Architecture Conference - CEAC 2023 |
| Editors | Marco Casini |
| Publisher | Springer Singapore |
| Pages | 903-912 |
| ISBN (electronic) | 978-981-99-6368-3 |
| ISBN (print) | 978-981-99-6367-6, 978-981-99-6370-6 |
| Publication status | Published - 2024 |
Publication series
| Name | Lecture Notes in Civil Engineering |
|---|---|
| Volume | 389 |
| ISSN (Print) | 2366-2557 |
| ISSN (electronic) | 2366-2565 |
Conference
| Title | 3rd International Civil Engineering and Architecture Conference (CEAC 2023) |
|---|---|
| Location | |
| Place | Japan |
| City | Kyoto |
| Period | 17 - 20 March 2023 |
Link(s)
Abstract
Semantic city models have been widely used in computer graphics, geomatics, gaming, planning, construction, and urban simulation. Different from the traditional geometric models which serve for visualization purposes only, semantic city models contain more information, such as location, classification, thematic attributes, functional aspects, and their logical and spatial interrelationships, which facilitate computers to understand the built environment better. However, the availability of such models, case-specificity of city object type and features, and unclear spatial semantics bring challenges to their application. Therefore, this study proposes a method, called OSMsc, for constructing semantic city models, including generating analytical layers for building, vegetation, waterbody, transportation, and UrbanTile objects, exploring the spatial semantics between city objects, calculating geometric properties, and outputting semantic city models in CityJSON format. In the end, this study selected a study area of Paris to demonstrate the construction process of the semantic city models, showing the potential of OSMsc in improving the availability, consistency, and spatial semantics of such models. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Research Area(s)
- CityJSON, OpenStreetMap, Python, Semantic city model
Citation Format(s)
A Method for Semantic City Modeling. / Ma, Rui; Chen, Jiayu; Yang, Chendi et al.
Proceedings of the 3rd International Civil Engineering and Architecture Conference - CEAC 2023. ed. / Marco Casini. Springer Singapore, 2024. p. 903-912 (Lecture Notes in Civil Engineering; Vol. 389).
Proceedings of the 3rd International Civil Engineering and Architecture Conference - CEAC 2023. ed. / Marco Casini. Springer Singapore, 2024. p. 903-912 (Lecture Notes in Civil Engineering; Vol. 389).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
