Advances in Economics, Management and Political Sciences

- The Open Access Proceedings Series for Conferences


Proceedings of the 7th International Conference on Economic Management and Green Development

Series Vol. 42 , 10 November 2023


Open Access | Article

Research on the Application of Digital Twin in Smart Cities

Li Hu * 1
1 The University of Edinburgh

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 42, 14-20
Published 10 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Li Hu. Research on the Application of Digital Twin in Smart Cities. AEMPS (2023) Vol. 42: 14-20. DOI: 10.54254/2754-1169/42/20232072.

Abstract

With the development of technology, digital twin has played a non-negligible positive impact on the development of smart cities. From the mutually influential nature of digital twin and smart city, this paper analyzes the progress of digital twin technology in smart city applications through theory and case studies. The author examines three key cases: city brain, IoT cloud platform, and smart hub, to explore the application of digital twin technology in smart cities. In addition, the paper presents the potential problems of digital twin in smart cities, such as insufficient infrastructure, insufficient systematic data integration and few application scenarios. In future research, the author suggests that digital twin technology holds promise for enabling innovative applications in areas such as environmental protection, security, energy, healthcare, and tourism within smart cities.

Keywords

digital twin, smart city, urban management, Internet of things

References

1. LI C, Liu J W, Wang L, Chen Y F. Digital twin in the application of intelligent city [J]. China Inspection and Testing, 2022,30(04):42-46. DOI:10.16428/j.cnki.cn10-1469/tb.2022.04.012.

2. Lim K Y H, Zheng P, Chen C H, et al. A digital twin-enhanced system for engineering product family design and optimization[J]. Journal of Manufacturing Systems, 2020, 57: 82-93.

3. El Saddik A. Digital twins: The convergence of multimedia technologies[J]. IEEE multimedia, 2018, 25(2): 87-92.

4. Zhang Z L. Digital twins help the new infrastructure of future smart cities [J]. Information Construction,2021(09):30-32.

5. Xu G, Li M, Chen C H, et al. Cloud asset-enabled integrated IoT platform for lean prefabricated construction[J]. Automation in Construction, 2018, 93: 123-134.

6. Ben Q S, Peng X B. Artificial intelligence application embedded in government governance: Practice, mechanism and risk architecture: A case study of Hangzhou City Brain [J]. Journal of Gansu Administration College,2020(03):29-42+125.

7. Mohammadi N, Taylor J. Knowledge discovery in smart city digital twins[J]. 2020.

8. Yu J X, Fan L. Digital technology enabling social governance and its limits: A case study of Hangzhou's urban brain [J]. Comparison of Economic and Social Systems,2022(01):117-126.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).

Volume Title
Proceedings of the 7th International Conference on Economic Management and Green Development
ISBN (Print)
978-1-83558-105-6
ISBN (Online)
978-1-83558-106-3
Published Date
10 November 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/42/20232072
Copyright
10 November 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated