A Method for Semantic City Modeling

Rui Ma; Jiayu Chen; Chendi Yang; Xin Li

doi:10.1007/978-981-99-6368-3_73

A Method for Semantic City Modeling

Rui Ma, Jiayu Chen, Chendi Yang, Xin Li^*

^*Corresponding author for this work

Department of Architecture and Civil Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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

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
DOIs	https://doi.org/10.1007/978-981-99-6368-3_73
Publication status	Published - 2024
Event	3rd International Civil Engineering and Architecture Conference (CEAC 2023) - Kyoto, Japan Duration: 17 Mar 2023 → 20 Mar 2023 https://www.ceac.net/ceac2023.html

Publication series

Name	Lecture Notes in Civil Engineering
Volume	389
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	3rd International Civil Engineering and Architecture Conference (CEAC 2023)
Country/Territory	Japan
City	Kyoto
Period	17/03/23 → 20/03/23
Internet address	https://www.ceac.net/ceac2023.html

Research Keywords

CityJSON
OpenStreetMap
Python
Semantic city model

Access Output

10.1007/978-981-99-6368-3_73

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{9ba2bd58b22b4676ab17dd6c2e947436,

title = "A Method for Semantic City Modeling",

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. {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024",

keywords = "CityJSON, OpenStreetMap, Python, Semantic city model",

author = "Rui Ma and Jiayu Chen and Chendi Yang and Xin Li",

year = "2024",

doi = "10.1007/978-981-99-6368-3_73",

language = "English",

isbn = "978-981-99-6367-6",

series = "Lecture Notes in Civil Engineering",

publisher = "Springer Singapore",

pages = "903--912",

editor = "Marco Casini",

booktitle = "Proceedings of the 3rd International Civil Engineering and Architecture Conference - CEAC 2023",

address = "Singapore",

note = "3rd International Civil Engineering and Architecture Conference (CEAC 2023) ; Conference date: 17-03-2023 Through 20-03-2023",

url = "https://www.ceac.net/ceac2023.html",

}

Ma, R , Chen, J , Yang, C & Li, X 2024, A Method for Semantic City Modeling. in M Casini (ed.), Proceedings of the 3rd International Civil Engineering and Architecture Conference - CEAC 2023. Lecture Notes in Civil Engineering, vol. 389, Springer Singapore, pp. 903-912, 3rd International Civil Engineering and Architecture Conference (CEAC 2023), Kyoto, Japan, 17/03/23. https://doi.org/10.1007/978-981-99-6368-3_73

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).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Method for Semantic City Modeling

AU - Ma, Rui

AU - Chen, Jiayu

AU - Yang, Chendi

AU - Li, Xin

PY - 2024

Y1 - 2024

N2 - 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

AB - 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

KW - CityJSON

KW - OpenStreetMap

KW - Python

KW - Semantic city model

UR - http://www.scopus.com/inward/record.url?scp=85185837146&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85185837146&origin=recordpage

U2 - 10.1007/978-981-99-6368-3_73

DO - 10.1007/978-981-99-6368-3_73

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-981-99-6367-6

SN - 978-981-99-6370-6

T3 - Lecture Notes in Civil Engineering

SP - 903

EP - 912

BT - Proceedings of the 3rd International Civil Engineering and Architecture Conference - CEAC 2023

A2 - Casini, Marco

PB - Springer Singapore

T2 - 3rd International Civil Engineering and Architecture Conference (CEAC 2023)

Y2 - 17 March 2023 through 20 March 2023

ER -

A Method for Semantic City Modeling

Abstract

Publication series

Conference

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this