City Digital Twins: their maturity level and differentiation from 3D city models
ABSTRACTThe emerging field of City Digital Twins has advanced in recent years with the help of digital infrastructure and technologies connected to the Internet of Things (IoT). However, the evolution of this field has been so fast that a gap has opened in relation to systematic reviews of the relev...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-01-01
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| Series: | Big Earth Data |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/20964471.2022.2160156 |
| _version_ | 1797955298200125440 |
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| author | Homa Masoumi Sara Shirowzhan Paria Eskandarpour Christopher James Pettit |
| author_facet | Homa Masoumi Sara Shirowzhan Paria Eskandarpour Christopher James Pettit |
| author_sort | Homa Masoumi |
| collection | DOAJ |
| description | ABSTRACTThe emerging field of City Digital Twins has advanced in recent years with the help of digital infrastructure and technologies connected to the Internet of Things (IoT). However, the evolution of this field has been so fast that a gap has opened in relation to systematic reviews of the relevant literature and the maturation of City Digital Twins on an urban scale. Our work bridges this gap by highlighting maturity in the field. We conducted a systematic literature review with bibliometric and content analysis of 41 selected papers published in Web of Science and Scopus databases, covering five areas: data types and sources, case studies, applied technologies and methods, maturity spectrum, and applications. Based on maturity indicators, the majority of the reviewed studies (90%) were at initial to medium stages of maturity (up to element 3), most of them focused on 3D modelling, monitoring and visualisation. However, digital twins cannot be limited to 3D models, monitoring and visualisation, for they can be developed to include two-directional interactions between humans and computers. Such a high level of maturity, which was not found in the reviewed studies, requires advanced technologies and methods such as cloud computing, artificial intelligence, BIM and GIS. We also found that further studies are essential if the field is to handle the complex urban challenges of multidisciplinary digital twins . While City Digital Twins extend by definition beyond mere 3D city modelling, some studies involving 3D city models still refer to their subjects as City Digital Twins. Among the research gaps we identified, we’d like to highlight the need for near-real-time data analytics algorithms, which could furnish City Digital Twins with big data insights. Other opportunities include public participation capabilities to increase social collaboration, integrating BIM and GIS technologies and improving storage and computation infrastructure. |
| first_indexed | 2024-04-10T23:32:00Z |
| format | Article |
| id | doaj.art-9eb9beaaccc84ba484087bc6597768f1 |
| institution | Directory Open Access Journal |
| issn | 2096-4471 2574-5417 |
| language | English |
| last_indexed | 2024-04-10T23:32:00Z |
| publishDate | 2023-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Big Earth Data |
| spelling | doaj.art-9eb9beaaccc84ba484087bc6597768f12023-01-12T05:47:32ZengTaylor & Francis GroupBig Earth Data2096-44712574-54172023-01-0114610.1080/20964471.2022.2160156City Digital Twins: their maturity level and differentiation from 3D city modelsHoma Masoumi0Sara Shirowzhan1Paria Eskandarpour2Christopher James Pettit3Department of Urban and Regional Planning, Shahid Beheshti University, Tehran, IranSchool of Built Environment, UNSW Sydney, Sydney, AustraliaFaculty of Information Technology, Monash University, Clayton, VIC, AustraliaFaculty of Arts, Design and Architecture, City Futures Research Centre, UNSW Sydney, NSW, AustraliaABSTRACTThe emerging field of City Digital Twins has advanced in recent years with the help of digital infrastructure and technologies connected to the Internet of Things (IoT). However, the evolution of this field has been so fast that a gap has opened in relation to systematic reviews of the relevant literature and the maturation of City Digital Twins on an urban scale. Our work bridges this gap by highlighting maturity in the field. We conducted a systematic literature review with bibliometric and content analysis of 41 selected papers published in Web of Science and Scopus databases, covering five areas: data types and sources, case studies, applied technologies and methods, maturity spectrum, and applications. Based on maturity indicators, the majority of the reviewed studies (90%) were at initial to medium stages of maturity (up to element 3), most of them focused on 3D modelling, monitoring and visualisation. However, digital twins cannot be limited to 3D models, monitoring and visualisation, for they can be developed to include two-directional interactions between humans and computers. Such a high level of maturity, which was not found in the reviewed studies, requires advanced technologies and methods such as cloud computing, artificial intelligence, BIM and GIS. We also found that further studies are essential if the field is to handle the complex urban challenges of multidisciplinary digital twins . While City Digital Twins extend by definition beyond mere 3D city modelling, some studies involving 3D city models still refer to their subjects as City Digital Twins. Among the research gaps we identified, we’d like to highlight the need for near-real-time data analytics algorithms, which could furnish City Digital Twins with big data insights. Other opportunities include public participation capabilities to increase social collaboration, integrating BIM and GIS technologies and improving storage and computation infrastructure.https://www.tandfonline.com/doi/10.1080/20964471.2022.2160156City Digital Twinsbig dataIoTartificial intelligencecity information modelling |
| spellingShingle | Homa Masoumi Sara Shirowzhan Paria Eskandarpour Christopher James Pettit City Digital Twins: their maturity level and differentiation from 3D city models Big Earth Data City Digital Twins big data IoT artificial intelligence city information modelling |
| title | City Digital Twins: their maturity level and differentiation from 3D city models |
| title_full | City Digital Twins: their maturity level and differentiation from 3D city models |
| title_fullStr | City Digital Twins: their maturity level and differentiation from 3D city models |
| title_full_unstemmed | City Digital Twins: their maturity level and differentiation from 3D city models |
| title_short | City Digital Twins: their maturity level and differentiation from 3D city models |
| title_sort | city digital twins their maturity level and differentiation from 3d city models |
| topic | City Digital Twins big data IoT artificial intelligence city information modelling |
| url | https://www.tandfonline.com/doi/10.1080/20964471.2022.2160156 |
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