The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
A systematic review of a digital twin city: A new pattern of urban governance toward smart cities
Open accessAbstract
Many countries and governments consider smart cities a solution to global warming, population growth, and resource depletion. Numerous challenges arise while creating a smart city. Digital twins, along with the Internet of Things, fifth-generation wireless systems, blockchain, collaborative computing, simulation, and artificial intelligence technologies, offer great potential in the transformation of the current urban governance paradigm toward smart cities. In this paper, the concept of a digital twin city (DTC) is proposed. The characteristics, key technologies, and application scenarios of a DTC are elaborated upon. Further, we discuss the theories, research directions, and framework regarding DTCs.
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Cites
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293
Blockchains and smart contracts for the internet of things
Christidis, K., & Devetsikiotis, M. (2016) · IEEE Access · doi:10.1109/access.2016.2566339 · Cited by 4,552
An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017) · 2017 IEEE International Congress on Big Data (BigData Congress) · doi:10.1109/bigdatacongress.2017.85 · Cited by 4,515
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
Grieves, M., & Vickers, J. (2017) · Transdisciplinary Perspectives on Complex Systems · doi:10.1007/978-3-319-38756-7_4 · Cited by 3,727
Smart cities: Definitions, dimensions, performance, and initiatives
Albino, V., Berardi, U., & Dangelico, R. M. (2015) · Journal of Urban Technology · doi:10.1080/10630732.2014.942092 · Cited by 3,536
Understanding Smart Cities: An Integrative Framework
Chourabi, H., Nam, T., Walker, S., Gil-Garcia, J. R., Mellouli, S., Nahon, K., Pardo, T. A., & Scholl, H. J. (2012) · 2012 45th Hawaii International Conference on System Sciences · doi:10.1109/hicss.2012.615 · Cited by 2,599
The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Glaessgen, E., & Stargel, D. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404
Defining digital transformation: Results from expert interviews
Mergel, I., Edelmann, N., & Haug, N. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2019.06.002 · Cited by 1,990
From cloud computing to cloud manufacturing
Xu, X. (2012) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2011.07.002 · Cited by 1,780
Haklay, M. (2010) · Environment and Planning B: Planning and Design · doi:10.1068/b35097 · Cited by 1,632
Research works printed but not linked: 5
- Beretta, 2018, Topographic modelling using UAVs compared with traditional survey methods in mining, REM - International Engineering Journal, 71, 463, 10.1590/0370-44672017710074 · doi:10.1590/0370-44672017710074
- El Meouche, 2016, Uav photogrammetry implementation to enhance land surveying, comparisons and possibilities, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W2, 107
- Gao, 2017, Research on the application of rapid surveying and mapping for large scare topographic map by uav aerial photography system, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W6, 121
- Li, 2019, A new 3D laser-scanning and GPS combined measurement system, Compt. Rendus Geosci., 351, 508, 10.1016/j.crte.2019.09.004 · doi:10.1016/j.crte.2019.09.004
- Nikoohemat, 2020, Indoor 3D reconstruction from point clouds for optimal routing in complex buildings to support disaster management, Autom. ConStruct., 113, 10.1016/j.autcon.2020.103109 · doi:10.1016/j.autcon.2020.103109
Cited by
Lv, Z. (2023) · Research · doi:10.34133/research.0071 · Cited by 108
Literature review of digital twin technologies for civil infrastructure
Liu, C., Zhang, P., & Xu, X. (2023) · Journal of Infrastructure Intelligence and Resilience · doi:10.1016/j.iintel.2023.100050 · Cited by 98
A comprehensive review of Digital Twin technologies in smart cities
Huzzat, A., Anpalagan, A., Khwaja, A. S., Woungang, I., Alnoman, A. A., & Pillai, A. S. (2025) · Digital Engineering · doi:10.1016/j.dte.2025.100040 · Cited by 65
Tran-Dang, H., & Kim, D.-S. (2025) · ICT Express · doi:10.1016/j.icte.2025.01.002 · Cited by 38
Battery state estimation methods and management system under vehicle–cloud collaboration: A Survey
Mei, P., Karimi, H. R., Xie, J., Chen, F., Ou, L., Yang, S., & Huang, C. (2024) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2024.114857 · Cited by 29
Metadata
- Authors
- Deng, T., Zhang, K., & Shen, Z.-J. (.
- Venue
- Journal of Management Science and Engineering
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 6
- Issue
- 2
- Pages
- 125-134
- ISSN
- 2096-2320 (ISSN-L)
- OpenAlex
- W3136881915
- Cited by
- 532
- References
- 55
- FWCI
- 13.13
- Type
- journal article
- Language
- en
- Open access
- diamond
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
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- Deng, T., Zhang, K., & Shen, Z.-J. (. (2021). A systematic review of a digital twin city: A new pattern of urban governance toward smart cities. Journal of Management Science and Engineering. https://doi.org/10.1016/j.jmse.2021.03.003
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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