Proceedings of the 2024 International Conference on Civil Engineering Structures and Concrete Materials (CESCM 2024)

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Analysis of the Current State of City Information Model Research and Construction Based on Data Mining

Authors
Zhiyuan Guo1, 3, Yue Kong1, 3, Xirui Cheng4, Hanbin Luo1, 3, *, Zhenyuan Liu2
1School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, 430000, China
2School of Artificial Intelligence and Automation Hust, Huazhong University of Science and Technology, Wuhan, 430000, China
3National Center for Technology Innovation for Digital Construction, Wuhan, 430000, China
4Wuhan Digital Construction Industry Technology Research Institute Co., Ltd., Wuhan, 430000, China
*Corresponding author. Email: luohbcem@hust.edu.cn
Corresponding Author
Hanbin Luo
Available Online 31 October 2024.
DOI
10.2991/978-94-6463-564-5_6How to use a DOI?
Keywords
City information model; Transformation of urbanization; Smart city construction; Urban construction
Abstract

Since the concept of City Information Modeling (CIM) was introduced, scholars in China have conducted extensive research and discussions on CIM, with the government also allocating significant resources to its development, achieving a breakthrough from non-existence to existence in CIM research and construction. To explore the current status and issues of CIM research and construction in China, this paper utilizes CiteSpace software and data mining methods, with data sourced from the CNKI database and public tender announcements on the internet. It systematically analyzes two aspects of CIM research and CIM construction status, and finds that CIM-related research and construction are in the beginning stage, and both show rapid development trend, there are problems such as focusing on the construction field, unbalanced construction in various regions, and large capital investment.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Civil Engineering Structures and Concrete Materials (CESCM 2024)
Series
Advances in Engineering Research
Publication Date
31 October 2024
ISBN
978-94-6463-564-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-564-5_6How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zhiyuan Guo
AU  - Yue Kong
AU  - Xirui Cheng
AU  - Hanbin Luo
AU  - Zhenyuan Liu
PY  - 2024
DA  - 2024/10/31
TI  - Analysis of the Current State of City Information Model Research and Construction Based on Data Mining
BT  - Proceedings of the 2024 International Conference on Civil Engineering Structures and Concrete Materials (CESCM 2024)
PB  - Atlantis Press
SP  - 46
EP  - 55
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-564-5_6
DO  - 10.2991/978-94-6463-564-5_6
ID  - Guo2024
ER  -